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  • 1.
    Abtahi, Farhad
    et al.
    Karolinska Institutet.
    Anund, Anna
    Fors, Carina
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. Karolinska Institutet.
    Lindecrantz, Kaj
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Karolinska Institutet.
    Association of Drivers’ sleepiness with heart rate variability. A Pilot Study with Drivers on Real Road2017Konferensbidrag (Övrigt vetenskapligt)
  • 2.
    Abtahi, Farhad
    et al.
    KTH-School of Technology and Health.
    Ji, Guangchao
    KTH-School of Technology and Health.
    Lu, Ke
    KTH-School of Technology and Health.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Björlin, Anders
    Kiwok AB.
    Östlund, Anders
    Kiwok AB.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Textile-Electronic Integration in Wearable Measurement Garments for Pervasive Healthcare Monitoring2015Konferensbidrag (Övrigt vetenskapligt)
  • 3.
    Abtahi, Farhad
    et al.
    KTH-School of Technology and Health.
    Ji, Guangchao
    KTH-School of Technology and Health.
    Lu, Ke
    KTH-School of Technology and Health.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype2015Ingår i: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, s. 3121-3124Konferensbidrag (Refereegranskat)
  • 4.
    Abtahi, Farhad
    et al.
    KTH-School of Technology and Health.
    Lu, Ke
    KTH-School of Technology and Health.
    Dizon, M
    KTH-School of Technology and Health.
    Johansson, M
    KTH-School of Technology and Health.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Evaluating Atrial Fibrillation Detection Algorithm based on Heart Rate Variability analysis2015Ingår i: Medicinteknikdagarna, Uppsala: Svensk förening för medicinsk teknik och fysik , 2015Konferensbidrag (Refereegranskat)
  • 5.
    Abtahi, Farhad
    et al.
    KTH-School of Technology and Health.
    Lu, Ke
    KTH-School of Technology and Health.
    Dizon, M
    KTH-School of Technology and Health.
    Johansson, M
    KTH-School of Technology and Health.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Evaluation of Atrial Fibrillation Detection by using Heart Rate Variability analysis2015Konferensbidrag (Övrigt vetenskapligt)
  • 6.
    Abtahi, Farhad
    et al.
    KTH-School of Technology and Health.
    Lu, Ke
    KTH-School of Technology and Health.
    Guangchao, Li
    KTH-School of Technology and Health.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    A Knitted Garment using Intarsia Technique for Heart Rate Variability Biofeedback: Evaluation of Initial Prototype.2015Konferensbidrag (Övrigt vetenskapligt)
  • 7. Abtahi, Farhad
    et al.
    Snäll, Jonathan
    Aslamy, Benjamin
    Abtahi, Shirin
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System2015Ingår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, nr 1, s. 93-109Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time and risk while keeping the focus on the important goal and making an efficient use of resources. In this work, an affordable and open source platform for development of physiological signals is proposed. As a first step an 8–12 leads electrocardiogram (ECG) and respiration monitoring system is developed. Chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 for patient safety. The result shows the potential of this platform as a base for prototyping compact, affordable, and medically safe measurement systems. Further work involves both hardware and software development to develop modules. These modules may require development of front-ends for other biosignals or just collect data wirelessly from different devices e.g., blood pressure, weight, bioimpedance spectrum, blood glucose, e.g., through Bluetooth. All design and development documents, files and source codes will be available for non-commercial use through project website, BiosignalPI.org.

  • 8.
    Atefi, Seyed Reza
    KTH-School of Technology and Health.
    Electrical Bioimpedance Cerebral Monitoring: From Hyopthesis and Simulation to First Experimental Evidence in Stroke Patients2015Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    Stroke is amongthe leading causes of death worldwide and requires immediate care to prevent death or permanent disability. Unfortunately, the current stateof stroke diagnosis is limited to fixed neuroimaging facilities that do not allow rapid stroke diagnosis. Hence, a portable stroke-diagnosis device could assist in the pre-hospital triage of patients. Moreover, such a portable device could also be useful for bedside stroke monitoring of patients in the Neuro Intensive Care Unit (Neuro-ICU) to avoid unnecessary neuroimaging. Recent animal studies and numerical simulations have supported the idea of implementing Electrical Bioimpedance (EBI) in a portable device, allowing non-invasive assessment as a useful tool for the pre-hospital triage of stroke and Traumatic Brain Injury (TBI) patients. Unfortunately, these studies have not reported any results from human subjects in the acute phase of the stroke. The numerical simulations are also based on simple models that sometimes lack necessary details.

    Finite Element Method (FEM) simulations on a realistic numerical head model as well as experimental Bioimpedance Spectroscopy (BIS) measurements from human subjectsin the acute, subacute and chronic phasesof stroke were used to answer the following research questions: (i) Does stroke modify the electrical properties of brain tissue in a way that is detectable via EBI? (ii) Would it be possible to detect stroke via EBI as early as in the acute and sub-acute phase?(iii) Is EBI sensitive enough to monitor changes caused by stroke pathogenesis?

    Using FEM to simulate electrical current injection on the head and study the resulting distribution of electrical potential on the scalp, it was shown that Intra-Cranial Hemorrhage (ICH) affects the quasi-symmetric scalp potential distribution,creating larger left-right potential asymmetry when compared to the healthy head model. Proof-of-concept FEM simulations were also tested in a small cohort of 6ICH patients and 10 healthy controls, showing that the left-right potential difference in the patients is significantly (p<0.05) larger than in the controls. Using bioimpedance measurements in the acute,  subacute and chronic phasesof stroke and examining simple features, it was also shown that the head EBI measurements of patients suffering stroke are different from controls, enabling the discrimination of healthy controls and stroke patients at any stage of the stroke. The absolute change in test-retest resistance measurements of the control group (~5.33%) was also found to be significantly (p<0.05) smaller than the EBI measurements of patients obtained 24 hours and 72 hours after stroke onset (20.44%). These results suggested that scalp EBI is sensitive to stroke pathogenesis changesand thususeful for bedside monitoring in the Neuro-ICU. These results suggested that EBI is a potentially useful tool for stroke diagnosis and monitoring.

    Finally, the initial observations based on a small number of patients, addressing the proposed future work of this thesis, suggested that the average head resistance amplitude of hemorrhagic stroke patients is smaller than in healthy controls, while ischemic stroke patients show a larger resistance amplitude than the controls. Scalp potential asymmetry analysis of healthy, hemorrhagic and ischemic stroke subjects also suggests that these three groups can be separated. However, these results are based on a small number of patients and need to be validated using a larger cohort. Initial observations also showed that the resistance of the EBI measurements of controls is robust between test and retest measurements, showing no significant difference (less than 2% and p>0.05). Subject position during EBI recording (supine or sitting) did not seem to affect the resistance of the EBI measurements (p>0.05). However, age, sex and head size showed significant effects on the resistance measurements. These initial observations are encouraging for further research on EBI for cerebral monitoring and stroke diagnosis. However, at this stage, considering the uncertainties in stroke type differentiation, EBI cannot replace CT but has the potential to be used as a consultation tool.

  • 9.
    Atefi, Seyed Reza
    et al.
    Harvard Univsersity.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Kamalian, Shervin
    Rosenthal, Eric
    Lev, Michael
    Massachussets University Hospital.
    Bonmassar, Giorgio
    Harvard University.
    Intracranial haemorrhage alters scalp potential distributions in bioimpedance cerebral monitoring applications: preliminary results from FEM simulation on a realistic head model and human subjects2016Ingår i: Medical Physics, ISSN 0094-2405, Vol. 43, nr 2, s. 675-686Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Purpose:

    Current diagnostic neuroimaging for detection of intracranial hemorrhage (ICH) is limited to fixed scanners requiring patient transport and extensive infrastructure support. ICH diagnosis would therefore benefit from a portable diagnostic technology, such as electrical bioimpedance (EBI). Through simulations and patient observation, the authors assessed the influence of unilateral ICH hematomas on quasisymmetric scalp potential distributions in order to establish the feasibility of EBI technology as a potential tool for early diagnosis.

    Methods:

    Finite element method(FEM) simulations and experimental left–right hemispheric scalp potential differences of healthy and damaged brains were compared with respect to the asymmetry caused by ICH lesions on quasisymmetric scalp potential distributions. In numerical simulations, this asymmetry was measured at 25 kHz and visualized on the scalp as the normalized potential difference between the healthy and ICH damaged models. Proof-of-concept simulations were extended in a pilot study of experimental scalp potential measurements recorded between 0 and 50 kHz with the authors’ custom-made bioimpedance spectrometer. Mean left–right scalp potential differences recorded from the frontal, central, and parietal brain regions of ten healthy control and six patients suffering from acute/subacute ICH were compared. The observed differences were measured at the 5% level of significance using the two-sample Welch t-test.

    Results:

    The 3D-anatomically accurate FEM simulations showed that the normalized scalp potential difference between the damaged and healthy brainmodels is zero everywhere on the head surface, except in the vicinity of the lesion, where it can vary up to 5%. The authors’ preliminary experimental results also confirmed that the left–right scalp potential difference in patients with ICH (e.g., 64 mV) is significantly larger than in healthy subjects (e.g., 20.8 mV; P < 0.05).

    Conclusions:

    Realistic, proof-of-concept simulations confirmed that ICH affects quasisymmetric scalp potential distributions. Pilot clinical observations with the authors’ custom-made bioimpedance spectrometer also showed higher left–right potential differences in the presence of ICH, similar to those of their simulations, that may help to distinguish healthy subjects from ICH patients. Although these pilot clinical observations are in agreement with the computer simulations, the small sample size of this study lacks statistical power to exclude the influence of other possible confounders such as age, sex, and electrode positioning. The agreement with previously published simulation-based and clinical results, however, suggests that EBI technology may be potentially useful for ICH detection.

  • 10.
    Atefi, Seyed Reza
    et al.
    Harvard University.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Thorlin, Thorleif
    salhgrenska Hospital.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Stroke Damage Detection Using Classification Trees on Electrical Bioimpedance Cerebral Spectroscopy Measurements2013Ingår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 13, nr 8, s. 10074-10086Artikel i tidskrift (Refereegranskat)
  • 11.
    Ayllon, David
    et al.
    Universidad de Alcalá.
    Gil-Pita, Roberto
    Universidad de Alcalá.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy2016Ingår i: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, nr 6, artikel-id e0156522Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Bioimpedance spectroscopy (BIS) measurement errors may be caused by parasitic stray capacitance, impedance mismatch, cross-talking or their very likely combination. An accurate detection and identification is of extreme importance for further analysis because in some cases and for some applications, certain measurement artifacts can be corrected, minimized or even avoided. In this paper we present a robust method to detect the presence of measurement artifacts and identify what kind of measurement error is present in BIS measurements. The method is based on supervised machine learning and uses a novel set of generalist features for measurement characterization in different immittance planes. Experimental validation has been carried out using a database of complex spectra BIS measurements obtained from different BIS applications and containing six different types of errors, as well as error-free measurements. The method obtained a low classification error (0.33%) and has shown good generalization. Since both the features and the classification schema are relatively simple, the implementation of this pre-processing task in the current hardware of bioimpedance spectrometers is possible.

  • 12. Brown, Shannon
    et al.
    Ortiz-Catalan, Max
    Chalmers University of Technology.
    Petersson, Joel
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition2016Ingår i: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, Institute of Electrical and Electronics Engineers (IEEE) , 2016, s. 6074-6077Konferensbidrag (Refereegranskat)
    Abstract [en]

    Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes. After a comprehending measurement and performance comparison of the sEMG recordings, no significant differences were found between the textile and the Ag-AgCl electrodes in SNR and prediction accuracy obtained from pattern recognition classifiers.

  • 13. Brown, Shannon
    et al.
    Ortiz-Catalan, Max
    Chalmers University of Technology.
    Petersson, Joel
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    Intarsia-Sensorized Band and Textrodes for the Acquisition of Myoelectric Signals2016Ingår i: The Second International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, International Academy, Research and Industry Association (IARIA) , 2016, s. 14-19, artikel-id 2_10_80013Konferensbidrag (Refereegranskat)
    Abstract [en]

    Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation, and has been an increasing area of study. This study attempts to use a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques to evaluate the quality of sEMG acquired by knitted textile electrodes. Myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes. Overall no significant differences were found between the textile and the Ag-AgCl electrodes in SNR and prediction accuracy obtained from pattern recognition classifiers. On average the textile electrodes produced a high prediction accuracy, >97% across all movements, which is equivalent to the accuracy obtained with conventional gel electrodes (Ag-AgCl). Furthermore the SNR for the Maximum Voluntary Contraction did not differ considerably between the textile and the Ag-AgCl electrodes.

  • 14.
    Buendia, Ruben
    et al.
    Chalmers University of Technology.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Bosaeus, Ingvar
    University of Gothenburg.
    Gil-Pita, Roberto
    Universidad de Alcala.
    Johannsson, Gudmundur
    University of Gothenburg.
    Ellegård, Lars
    University of Gothenburg.
    Ward, Leigh
    University of Queensland.
    Estimation of body fluids with bioimpedance spectroscopy: state of the art methods and proposal of novel methods2015Ingår i: Physiological Measurement, ISSN 0967-3334, E-ISSN 1361-6579, Vol. 36, nr 10Artikel i tidskrift (Refereegranskat)
  • 15.
    Chen, Wei
    et al.
    Fudan University.
    Augusto, Juan CarlosMiddlesex University.Seoane, FernandoHögskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.Ledhocki, FedorSlovak University of Technology.Arends, JohanTechnical University of Technology.Ungureanu, ConstantinHobo Heeze.Wichert, ReinerFraunhofer IGD.
    Recent Advances in Ambient Assisted Living: Bridging Assistive Technologies, e-Health and Personalized Health Care2015Samlingsverk (redaktörskap) (Refereegranskat)
  • 16.
    Eriksson, Siw
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Sandsjö, Leif
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. MedTech West.
    Three-dimensional Fabrics as Medical Textiles2015Ingår i: Advances in 3D Textiles: A volume in Woodhead Publishing Series in Textiles / [ed] X. Chen, Woodhead Publishing Limited, 2015, s. 305-340Kapitel i bok, del av antologi (Övrigt vetenskapligt)
    Abstract [en]

    The number of 3D textile applications in medicine is rapidly increasing as new technology and procedures are introduced in health care.  A first estimate of current medical applications of both general and 3D textiles is presented based on the medical devices classification system established by the US Food and Drug Administration. The textile specifics for these applications are covered from a textile technique perspective where the different 3D weaving as well as knitting, braiding and non-woven techniques are described and how their properties they can contribute in medical applications. In addition, emerging opportunities based on smart textiles as part of textile systems are described on a general level. The strong application areas of 3D medical textiles, i.e. wound management, vascular grafting and scaffolding for tissue engineering are covered in detail both from the medical and textiles perspective. Finally, some future lines of development are suggested and a short discussion on how new 3D textiles applications can be developed in close cooperation between the textile industry and the health care sector is presented.

  • 17.
    Eriksson, Siw
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Sandsjö, Leif
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd.
    Karlsson, MariAnne
    Design & Human Factor, Chalmers University of Technology.
    Facilitating User Involvement in Development of 3D Smart Textiles For Healthcare Applications2015Ingår i: Proceedings of the 6th World Conference on 3D Fabrics and their Applications, Manchester,UK/Raleigh,USA, 2015Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    Smart textiles are textiles based on different types of smart materials that can sense or react on environmental stimuli. This new technology is a growing area which exhibits characteristics particularly suitable for capturing (electro) physiological signals, e.g. to monitor ECG, EEG or respiration. These textiles most often form a three dimensional structure where different materials with different characteristics are bound together in different layers. However, in order to take full advantage of these new opportunities the textile industry needs to find new methods to develop innovative smart textile products. One strong and valuable contribution is to involve users early in the development process.

    The aim of this paper is to highlight how product representations, e.g. prototypes or material samples, can be used to facilitate the communication between users and developers in the development of new healthcare solutions based on textiles. The study presented in this paper was performed through participatory observation. The case is based on the development of a textile structure with three dimensional properties for long-term monitoring of EEG signals.   

    The main findings are that product representations support the exchange of knowledge and experiences between users and developers by five different facilitating roles:

    Product representations serve to demonstrate (technical) solutions; to verbalise, i.e. serve to fill in were words are missing or when terms are not understood; to visualise, i.e. facilitating members of the development team to envision or adapt mental images of the intended future product; to stimulate, i.e. to inspire the development team to suggest new ideas or design; and, finally, to integrate, i.e. to unite different perspectives within the development team.

    Conclusion: By using product representations during the development process to facilitate the dialogue between users and developers, the textile industry may take full advantage of the opportunities made available by new development of materials and new technology in order to fulfil users’ needs.

  • 18.
    Ferreira, Javier
    et al.
    KTH, Medicinsk teknik.
    Pau, Iván
    Universidad Politecnica de Madrid.
    Lindecrantz, Kaj
    KTH, Medicinsk teknik.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    A handheld and textile-enabled bioimpedance system for ubiquitous body composition analysis.: An initial functional validation2016Ingår i: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208, nr 99Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In recent years, many efforts have been made to promote a healthcare paradigm shift from the traditional reactive hospital-centered healthcare approach towards a proactive, patient-oriented and self-managed approach that could improve service quality and help reduce costs while contributing to sustainability. Managing and caring for patients with chronic diseases accounts over 75% of healthcare costs in developed countries. One of the most resource demanding diseases is chronic kidney disease (CKD), which often leads to a gradual and irreparable loss of renal function, with up to 12% of the population showing signs of different stages of this disease. Peritoneal dialysis and home haemodialysis are life-saving home-based renal replacement treatments that, compared to conventional in-center hemodialysis, provide similar long-term patient survival, less restrictions of life-style, such as a more flexible diet, and better flexibility in terms of treatment options and locations. Bioimpedance has been largely used clinically for decades in nutrition for assessing body fluid distributions. Moreover, bioimpedance methods are used to assess the overhydratation state of CKD patients, allowing clinicians to estimate the amount of fluid that should be removed by ultrafiltration. In this work, the initial validation of a handheld bioimpedance system for the assessment of body fluid status that could be used to assist the patient in home-based CKD treatments is presented. The body fluid monitoring system comprises a custom-made handheld tetrapolar bioimpedance spectrometer and a textile-based electrode garment for total body fluid assessment. The system performance was evaluated against the same measurements acquired using a commercial bioimpedance spectrometer for medical use on several voluntary subjects. The analysis of the measurement results and the comparison of the fluid estimations indicated that both devices are equivalent from a measurement performance perspective, allowing for its use on ubiquitous e-healthcare dialysis solutions.

  • 19.
    Guo, Li
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Sandsjö, Leif
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd.
    Scan To Knit - A smart textile platform for personalised prosthetic textiles2017Ingår i: Södra Älvsborgs Sjukhus (SÄS) Forsknings- och kvalitetsdagar 2017: Poster presented in the MedTech West exhibition, Borås, 2017, , s. 1Konferensbidrag (Övrigt vetenskapligt)
  • 20.
    Hafid, Abdelakram
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. University of Sciences and Technology Houari Boumediene.
    Benouar, Sara
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Kedir-Talha, Malika
    University of Sciences and Technology Houari Boumediene.
    Abtahi, Farhad
    Karolinska Institutet.
    Attari, Mokhtar
    University of Sciences and Technology Houari Boumediene.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Full Impedance Cardiography measurement device using Raspberry PI3 and System-on-Chip biomedical Instrumentation Solutions2017Ingår i: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Impedance Cardiography (ICG) is a non-invasive method for monitoring cardiac dynamics using Electrical Bioimpedance (EBI) measurements. Since its appearance more than 40 years ago, ICG has been used for assessing hemodynamic parameters. This paper present a measurement system based on two System on Chip (SoC) solutions and Raspberry PI, implementing both a full 3-lead ECG recorder and an impedance cardiographer, for educational and research development purposes. Raspberry PI is a platform supporting Do-It-Yourself project and education applications across the world. The development is part of Biosignal PI, an open hardware platform focusing in quick prototyping of physiological measurement instrumentation. The SoC used for sensing cardiac biopotential is the ADAS1000, and for the EBI measurement is the AD5933. The recording were wirelessly transmitted through Bluetooth to a PC, where the waveforms were displayed, and hemodynamic parameters such as heart rate, stroke volume, ejection time and cardiac output were extracted from the ICG and ECG recordings. These results show how Raspberry PI can be used for quick prototyping using relatively widely available and affordable components, for supporting developers in research and engineering education. The design and development documents, will be available on www.BiosignalPI.com, for open access under a Non Commercial-Share A like 4.0 International License.

  • 21.
    Lieng, Phu
    et al.
    Chalmers.
    Yao, Jiaqi
    Chalmers.
    Candefjord, Stefan
    Chalmers.
    Kidborg, Stefan
    Medfield Diagnostics AB.
    Eriksson, Siw
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Wallgren, Pontus
    Chalmers.
    Sandsjö, Leif
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd.
    Design of Microwave-based devices for prehospital diagnosis of traumatic internal injuries2015Ingår i: Abstracts - Medicinteknikdagarna 2015, 13-14 oktober 2015, Uppsala Konsert & Kongress, 2015, s. 95-Konferensbidrag (Övrigt vetenskapligt)
  • 22. Löfhede, Johan
    et al.
    Eriksson, Siw
    Högskolan i Borås, Institutionen Textilhögskolan.
    Sandsjö, Leif
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Guo, Li
    Högskolan i Borås, Institutionen Textilhögskolan.
    Thordstein, Magnus
    Monitoring of Brain Activity Using Textile Electrodes2012Konferensbidrag (Övrigt vetenskapligt)
  • 23.
    Mohino-Herranz, Inma
    et al.
    University of Alcala.
    Gil-Pita, Roberto
    University of Alcala.
    Ferreira, Javier
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Rosa-Zurera, Manuel
    University of Alcala.
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Assessment of Mental, Emotional and Physical Stress through Analysis of Physiological Signals Using Smartphones2015Ingår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, nr 10, s. 25607-25627Artikel i tidskrift (Refereegranskat)
  • 24.
    Sandsjö, Leif
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. MedTech West/SAFER.
    Candefjord, Stefan
    Signals and Systems, Chalmers.
    Sjöqvist, Bengt Arne
    Signals and Systems/Chalmers.
    Statistikinsamling och automatiskt olyckslarm för trafik med fyrhjulingar via en smartmobilplattform2016Rapport (Övrigt vetenskapligt)
  • 25.
    Sandsjö, Leif
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd.
    Guo, Li
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Scan-to-knit - A platform for personalised smart textiles research and develoment with a special focus on prosthetics2018Ingår i: ISEK 2018 - The XXII Congress of the International Society of Electrophysiology and Kinesiology: University College Dublin, Dublin, Ireland, June 30th - 2nd July, 2018 / [ed] Madeleine Lowery, Dublin: University College Dublin Press, 2018, s. 222-223Konferensbidrag (Refereegranskat)
  • 26.
    Sandsjö, Leif
    et al.
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Löfhede, Johan
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Eriksson, Siw
    Högskolan i Borås, Institutionen Textilhögskolan.
    Guo, Li
    Högskolan i Borås, Institutionen Textilhögskolan.
    Thordstein, Magnus
    EEG Measurements using Textile Electrodes2012Konferensbidrag (Refereegranskat)
  • 27.
    Sandsjö, Leif
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technolgy, Gothenburg.
    Sjöqvist, Bengt Arne
    SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technolgy, Gothenburg.
    Candefjord, Stefan
    SAFER Vehicle and Traffic Safety Centre, Chalmers University of Technolgy, Gothenburg.
    A Concept for Naturalistic Data Collection for Vulnerable Road Users Using a SmartPhone-based Platform2015Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    This paper presents a smartphone-based platform for large-scale, low-cost, long-term naturalistic data collection aimed at vulnerable road users (VRUs). The approach taken is to collect naturalistic movement data from VRUs based on information from the embedded sensors in high-end smartphones. The Smartphone application, LogYard, developed in the current study, allows the recording of high quality data (tri-axial acceleration and rotation at 100 Hz plus GPS position and velocity each second). This way, large data quantities from ATV drivers’ movements during daily use in different use cases, can be transferred from a large number of users and accumulated in a cloud-based server for off-line analysis.

    Apart from the description on how data is recorded and managed in the smartphone-based platform, also a procedure on how to include participants to studies and how private integrity issues and informed consent can be handled from a distance is presented.

    By means of the presented smartphone based platform, large number of participants taking part in several parallel on-going studies can be easily administered. This makes the platform a powerful tool to use in large-scale, low-cost, long-term studies providing data from large groups of study participants.

    The information made available this way can be used to develop automatic crash notification (ACN) systems directed to VRUs based on identifying movements outside what is “normal” for bicyclists, mopedists, motorcyclists and ATV users.

  • 28. Schneegass, Stefan
    et al.
    Hassib, Mariam
    Zhou, Bo
    Cheng, Jingyuan
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Amft, Oliver
    Lukowicz, Paul
    Schmidt, Albrecht
    SimpleSkin: towards multipurpose smart garments2015Ingår i: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, ACM Publications, 2015, s. 241-244Konferensbidrag (Refereegranskat)
  • 29.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Abtahi, Shirin
    Karolinska University Hospital.
    Abtahi, Farhad
    KTH-School of Technology and Health.
    Ellegård, Lars
    Sahlgrenska University Hospital.
    Johannsson, Gudmundur
    Sahlgrenska University Hospital.
    Bosaeus, Ingvar
    University of Gothenburg.
    Ward, Leigh
    University of Queensland.
    Slightly superior performance of bioimpedance spectroscopy over single frequency regression equations for assessment of total body water2015Konferensbidrag (Refereegranskat)
  • 30.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Abtahi, Shirin
    Karolinkska University Hospital.
    Abtahi, Farhad
    KTH-School of Technology and Health.
    Ellegård, Lars
    University of Gothenburg.
    Johannsson, Gudmundur
    University of Gothenburg.
    Bosaeus, Ingvar
    University of Gothenburg.
    Ward, Leigh C
    University of Queensland.
    Mean Expected Error in Prediction of Total Body Water.: A True Accuracy Comparison between Bioimpedance Spectroscopy and Single Frequency Regression Equations.2015Ingår i: BioMed Research International, ISSN 2314-6133, E-ISSN 2314-6141, Vol. 2015Artikel i tidskrift (Refereegranskat)
  • 31.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. Karolinska Institutet.
    Atefi, Seyed Reza
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Harvard Univsersity.
    Electrical bioimpedance enabling prompt intervention in traumatic brain injury2017Ingår i: SPIE Micro-and Nanotechnology Sensors, Systems, and Applications IX, 2017Konferensbidrag (Refereegranskat)
  • 32.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Atefi, Seyed Reza
    Harvard Univsersity.
    Tomner, Jens
    Karolinska Hospital.
    Kostulas, Konstantinos
    Karolinska Hospital.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Electrical Bioimpedance Spectroscopy on Acute Unilateral Stroke Patients: Initial Observations regarding Differences between Sides2015Ingår i: BioMed research international, Vol. 2015Artikel i tidskrift (Refereegranskat)
  • 33.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Ferreira, Javier
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Buendia, Ruben
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Lindecrantz, Kaj
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Adaptive Frequency Distribution for Electrical Bioimpedance Spectroscopy Measurements2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a novel frequency distribution scheme intended to provide more accurate estimations of Cole parameters. Nowadays a logarithmic frequency distribution is mostly used in Electrical Bioimpedance Spectroscopy (EBIS) applications. However it is not optimized following any criterion. Our hypothesis is that an EBIS signal contains more information where the variation of the measurement regarding the frequency is larger; and that there ought to be more measuring frequencies where there is more information. Results show that for EBIS data with characteristic frequencies up to 200 kHz the error obtained with both frequency distribution schemes is similar. However, for EBIS data with higher values of characteristic frequency the error produced when estimating the values from EBIS measurements using an adaptive frequency distribution is smaller. Thus it may usefull for EBIS applications with high values of characteristic frequency, e.g. cerebral bioimpedance.

  • 34.
    Seoane, Fernando
    et al.
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Soroudi, Azadeh
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Abtahi, Farhad
    KTH, Medicinsk teknik.
    Lu, Ke
    KTH-School of Technology and Health.
    Skrifvars, Mikael
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Printed Electronics Enabling a Textile-friendly Interconnection between Wearable Measurement Instrumentation & Sensorized Garments2016Konferensbidrag (Refereegranskat)
  • 35.
    Vega-Barbas, Mario
    et al.
    Royal Institute of Technology.
    Pau, Iván
    Universidad Politecnica de Madrid.
    Augusto, Juan C
    Middlesex University.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. Karolinska Institutet.
    Interaction patterns for smart spaces. A confident interaction design solution for pervasive sensitive IoT services2017Ingår i: IEEE Access, E-ISSN 2169-3536Artikel i tidskrift (Refereegranskat)
  • 36.
    Vega-Barbas, Mario
    et al.
    KTH-School of Technology and Health.
    Pau, Iván
    Universidad Politecnica de Madrid.
    Ferreira, Javier
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lebis, Evelyn
    Seoane, Fernando
    Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Utilizing Smart Textiles-Enabled Sensorized Toy and Playful Interactions for Assessment of Psychomotor Development on Children2015Ingår i: Journal of Sensors, ISSN 1687-725X, E-ISSN 1687-7268, artikel-id 898047Artikel i tidskrift (Refereegranskat)
  • 37.
    Wollmann, Thomas
    et al.
    GECKO Institute, Heilbronn University, Heilbronn, Germany.
    Abtahi, Farhad
    KTH-School of Technology and Health.
    Eghdam, Abouzar
    Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institute.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Haag, Martin
    GECKO Institute, Heilbronn University, Heilbronn, Germany.
    Koch, Sabine
    Department of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institute.
    User-Centred Design and Usability Evaluation of a Heart Rate Variability Biofeedback Game2016Ingår i: IEEE Access, E-ISSN 2169-3536, Vol. PP, nr 99, s. 1-1Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Background and objective: Reduced heart rate variability (HRV) is an indicatorof a malfunctioning autonomic nervous system. Resonant frequencybreathing is a potential non-invasive means of intervention for improvingthe balance of the autonomic nervous system and increasing HRV. However,such breathing exercises are regarded as boring and monotonous tasks.The use of gaming elements (gamification) or a full gaming experience is awell-recognised method for achieving higher motivation and engagement invarious tasks. However, there is limited documented knowledge on how todesign a game for breathing exercises. In particular, the influence of additionalinteractive elements on the main course of training has not yet beenexplored. In this study, we evaluated the satisfaction levels achieved usingdifferent game elements and how disruptive they were to the main task, i.e.,paced breathing training.

    Methods: An Android flight game was developed with three game modes thatdiffer in the degrees of multitasking they require. Design, development and evaluation were conducted using a user-centred approach, including contextanalysis, the design of game principle mock-ups, the selection of game principlesthrough a survey, the design of the game mechanics and GUI mock-up,icon testing and the performance of a summative study through user questionnairesand interviews. A summative evaluation of the developed gamewas performed with 11 healthy participants (ages 40-67) in a controlled setting.Results: The results confirm the potential of video games for motivatingplayers to engage in HRV biofeedback training. The highest training performanceon the first try was achieved through pure visualisation rather thanin a multitasking mode. Players had higher motivation to play the morechallenging game and were more interested in long-term engagement.Conclusion: A framework for gamified HRV biofeedback research is presented.It has been shown that multitasking has considerable influence onHRV biofeedback and should be used with an adaptive challenge level.

  • 38. Wristel, David
    et al.
    Lund, Anja
    Högskolan i Borås, Institutionen Textilhögskolan.
    Rundqvist, Karin
    Högskolan i Borås, Institutionen Textilhögskolan.
    Nilsson, Erik
    Hagström, Bengt
    Sandsjö, Leif
    Högskolan i Borås, Institutionen Ingenjörshögskolan.
    Monitoring of respiration and cardiac activity based on piezoelectric textile sensors2014Konferensbidrag (Övrigt vetenskapligt)
  • 39.
    Zhang, Rui
    et al.
    University of Passau.
    Freund, Martin
    University of Passau.
    Amft, Oliver
    University of Passau.
    Cheng, Jingyuan
    DFKI.
    Zhou, Bo
    DFKI.
    Lukowicz, Paul
    DFKI.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. KTH-School of Technology and Health.
    Chabrecek, Peter
    Sefar AG.
    A Generic Sensor Fabric for Multi-modal Swallowing Sensing in Regular Upper-body Shirts2016Ingår i: Proceedings of the 2016 ACM International Symposium on Wearable Computers, HEIDELBERG: ACM Digital Library , 2016, s. 46-47Konferensbidrag (Refereegranskat)
    Abstract [en]

    We investigate a generic fabric material as basis for resistive pressure and bio-impedance sensors and apply the fabric in a shirt collar for swallowing spotting. A pilot study confirmed the signal performance of both sensor types.

  • 40.
    Zhou, Bo
    et al.
    DFKI.
    Altamirano, Carlos Andres Velez
    DFKI.
    Zurian, Heber Cruz
    DFKI.
    Atefi, Seyed Reza
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Billing, Erik
    Högskolan i Skövde.
    Seoane, Fernando
    Högskolan i Borås, Akademin för textil, teknik och ekonomi. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd. KTH-School of Technology and Health.
    Lukowicz, Paul
    DFKI.
    Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction2017Ingår i: Sensors, Vol. 17, nr 11Artikel i tidskrift (Refereegranskat)
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