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  • 1.
    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
    University of Borås, Faculty of Textiles, Engineering and Business.
    Björlin, Anders
    Kiwok AB.
    Östlund, Anders
    Kiwok AB.
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    KTH-School of Technology and Health.
    Textile-Electronic Integration in Wearable Measurement Garments for Pervasive Healthcare Monitoring2015Conference paper (Other academic)
  • 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
    University of Borås, Faculty of Textiles, Engineering and Business.
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype2015In: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, p. 3121-3124Conference paper (Refereed)
  • 3. Abtahi, Farhad
    et al.
    Snäll, Jonathan
    Aslamy, Benjamin
    Abtahi, Shirin
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Lindecrantz, Kaj
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System2015In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, no 1, p. 93-109Article in journal (Refereed)
    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.

  • 4.
    Lieng, Phu
    et al.
    Chalmers.
    Yao, Jiaqi
    Chalmers.
    Candefjord, Stefan
    Chalmers.
    Kidborg, Stefan
    Medfield Diagnostics AB.
    Eriksson, Siw
    University of Borås, Faculty of Textiles, Engineering and Business.
    Wallgren, Pontus
    Chalmers.
    Sandsjö, Leif
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare.
    Design of Microwave-based devices for prehospital diagnosis of traumatic internal injuries2015In: Abstracts - Medicinteknikdagarna 2015, 13-14 oktober 2015, Uppsala Konsert & Kongress, 2015, p. 95-Conference paper (Other academic)
  • 5. Löfhede, Johan
    et al.
    Eriksson, Siw
    University of Borås, Swedish School of Textiles.
    Sandsjö, Leif
    University of Borås, School of Engineering.
    Guo, Li
    University of Borås, Swedish School of Textiles.
    Thordstein, Magnus
    Monitoring of Brain Activity Using Textile Electrodes2012Conference paper (Other academic)
  • 6.
    Mohino-Herranz, Inma
    et al.
    University of Alcala.
    Gil-Pita, Roberto
    University of Alcala.
    Ferreira, Javier
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Rosa-Zurera, Manuel
    University of Alcala.
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Assessment of Mental, Emotional and Physical Stress through Analysis of Physiological Signals Using Smartphones2015In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, no 10, p. 25607-25627Article in journal (Refereed)
  • 7.
    Sandsjö, Leif
    et al.
    University of Borås, School of Engineering.
    Löfhede, Johan
    University of Borås, School of Engineering.
    Eriksson, Siw
    University of Borås, Swedish School of Textiles.
    Guo, Li
    University of Borås, Swedish School of Textiles.
    Thordstein, Magnus
    EEG Measurements using Textile Electrodes2012Conference paper (Refereed)
  • 8.
    Sandsjö, Leif
    et al.
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. 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 Platform2015Conference paper (Other academic)
    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.

  • 9. Schneegass, Stefan
    et al.
    Hassib, Mariam
    Zhou, Bo
    Cheng, Jingyuan
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Amft, Oliver
    Lukowicz, Paul
    Schmidt, Albrecht
    SimpleSkin: towards multipurpose smart garments2015In: 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, p. 241-244Conference paper (Refereed)
  • 10.
    Seoane, Fernando
    et al.
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. 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.2015In: BioMed Research International, ISSN 2314-6133, E-ISSN 2314-6141, Vol. 2015Article in journal (Refereed)
  • 11.
    Vega-Barbas, Mario
    et al.
    KTH-School of Technology and Health.
    Pau, Iván
    Universidad Politecnica de Madrid.
    Ferreira, Javier
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Lebis, Evelyn
    Seoane, Fernando
    University of Borås, Faculty of Caring Science, Work Life and Social Welfare. KTH-School of Technology and Health.
    Utilizing Smart Textiles-Enabled Sensorized Toy and Playful Interactions for Assessment of Psychomotor Development on Children2015In: Journal of Sensors, ISSN 1687-725X, E-ISSN 1687-7268, Vol. 2015Article in journal (Refereed)
  • 12. Wristel, David
    et al.
    Lund, Anja
    University of Borås, Swedish School of Textiles.
    Rundqvist, Karin
    University of Borås, Swedish School of Textiles.
    Nilsson, Erik
    Hagström, Bengt
    Sandsjö, Leif
    University of Borås, School of Engineering.
    Monitoring of respiration and cardiac activity based on piezoelectric textile sensors2014Conference paper (Other academic)
1 - 12 of 12
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