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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 Road2017Konferansepaper (Annet vitenskapelig)
  • 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 Monitoring2015Konferansepaper (Annet vitenskapelig)
  • 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 prototype2015Inngår i: Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, s. 3121-3124Konferansepaper (Fagfellevurdert)
  • 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 analysis2015Inngår i: Medicinteknikdagarna, Uppsala: Svensk förening för medicinsk teknik och fysik , 2015Konferansepaper (Fagfellevurdert)
  • 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 analysis2015Konferansepaper (Annet vitenskapelig)
  • 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.2015Konferansepaper (Annet vitenskapelig)
  • 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 System2015Inngår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, nr 1, s. 93-109Artikkel i tidsskrift (Fagfellevurdert)
    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.
    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 Solutions2017Inngår i: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208Artikkel i tidsskrift (Fagfellevurdert)
    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.

  • 9.
    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 water2015Konferansepaper (Fagfellevurdert)
  • 10.
    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.2015Inngår i: BioMed Research International, ISSN 2314-6133, E-ISSN 2314-6141, Vol. 2015Artikkel i tidsskrift (Fagfellevurdert)
  • 11.
    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 Garments2016Konferansepaper (Fagfellevurdert)
  • 12.
    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 Game2016Inngår i: IEEE Access, E-ISSN 2169-3536, Vol. PP, nr 99, s. 1-1Artikkel i tidsskrift (Fagfellevurdert)
    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.

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