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  • 1.
    Abtahi, Farhad
    et al.
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Ji, Guangchao
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Lu, Ke
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Rodby, Kristian
    Seoane, Fernando
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype2015In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, IEEE , 2015, Vol. 2015, p. 3121-3124Conference paper (Refereed)
    Abstract [en]

    Heart rate variability (HRV) biofeedback is a method based on paced breathing at specific rate called resonance frequency by giving online feedbacks from user respiration and its effect on HRV. Since the HRV is also influence by different factors like stress and emotions, stress related to an unfamiliar measurement device, cables and skin electrodes may cover the underling effect of such kind of intervention. Wearable systems are usually considered as intuitive solutions which are more familiar to the end-user and can help to improve usability and hence reducing the stress. In this work, a prototype of a knitted garment using intarsia technique is developed and evaluated. Results show the satisfactory level of quality for Electrocardiogram and thoracic electrical bioimpedance i.e. for respiration monitoring as a part of HRV biofeedback system. Using intarsia technique and conductive yarn for making the connection instead of cables will reduce the complexity of fabrication in textile production and hence reduce the final costs in a final commercial product. Further development of garment and Android application is ongoing and usability and efficiency of final prototype will be evaluated in detail.

  • 2.
    Abtahi, Farhad
    et al.
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Ji, Guangchao
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Lu, Ke
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Rödby, Kristian
    Högskolan i Borås, Akademin för textil, teknik och ekonomi.
    Björlin, Anders
    Kiwok AB.
    Östlund, Anders
    Kiwok AB.
    Seoane, Fernando
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems. Högskolan i Borås, Akademin för vård, arbetsliv och välfärd.
    Lindecrantz, Kaj
    KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems.
    Textile-Electronic Integration in Wearable Measurement Garments for Pervasive Healthcare Monitoring2015Conference paper (Other academic)
  • 3.
    Ji, Guangchao
    et al.
    KTH.
    Ouyang, W.
    Yang, Kunlong
    KTH.
    Yang, Geng
    KTH.
    Skin-attached sensor and artifact removal using cloud computing2015In: Proceedings of the International Conferences on e-Health 2015, EH 2015, e-Commerce and Digital Marketing 2015, EC 2015 and Information Systems Post-Implementation and Change Management 2015, ISPCM 2015 - Part of the Multi Conference on Computer Science and Information Systems 2015, IADIS , 2015, p. 233-234Conference paper (Refereed)
    Abstract [en]

    In this paper we present user-centric and user-friendly technical solutions for the proactive healthcare, in particular for senior citizens. The main objective is to develop a skin attached sensing device by leveraging miniaturized biomedical circuits and flexible sensor technology. Digital signal processing algorithms are applied on the Cloud server for near real-time signal shaping and noise removal.

  • 4.
    Ji, Guangchao
    et al.
    KTH, School of Technology and Health (STH).
    Yang, Geng
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics.
    Yang, Kunlong
    KTH, School of Technology and Health (STH).
    Zheng, LiRong
    KTH, School of Information and Communication Technology (ICT), Industrial and Medical Electronics.
    A User-friendly Wearable Device Based on Plastic Substrate for Heart Disease Monitoring2015In: the 4th International Conference on Computational & Mathematical Biomedical Engineering (CMBE2015), 2015Conference paper (Refereed)
1 - 4 of 4
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