U-biofeedback

A multimedia-based reference model for ubiquitous biofeedback systems

Hussein Al Osman, Mohamad Eid, Abdulmotaleb El Saddik

    Research output: Contribution to journalArticle

    Abstract

    Biofeedback is a well-accepted approach in preventative and alternative healthcare. It is known to promote wellbeing and help prevent and treat a wide variety of disorders related to the human physiology and psychology. With the exceptional growth of wearable sensor technologies, the potential for devising biofeedback systems that blend into everyday living is immense. Therefore, we present our vision for U-Biofeedback, a reference model for systems designed to continuously monitor our physiology and convey to us important messages regarding our status. Also, we present a case study for an application that implements our reference model. The application is designed to monitor the stress of individuals working in an office setting and provide an assistive response whenever stress reaches elevated levels. By devising an algorithm for stress detection that makes use of Heart Rate Variability (HRV) measures, we were able to identify negative stress situations with an accuracy of 89.63 % and a false positive detection rate of 5.55 % during our evaluation.

    Original languageEnglish (US)
    Pages (from-to)3143-3168
    Number of pages26
    JournalMultimedia Tools and Applications
    Volume72
    Issue number3
    DOIs
    StatePublished - Jan 1 2014

    Fingerprint

    Biofeedback
    Physiology

    Keywords

    • Biofeedback
    • Health monitoring
    • Heart rate variability
    • Multimedia health systems
    • Occupancy-based services
    • Stress management

    ASJC Scopus subject areas

    • Media Technology
    • Hardware and Architecture
    • Computer Networks and Communications
    • Software

    Cite this

    U-biofeedback : A multimedia-based reference model for ubiquitous biofeedback systems. / Al Osman, Hussein; Eid, Mohamad; El Saddik, Abdulmotaleb.

    In: Multimedia Tools and Applications, Vol. 72, No. 3, 01.01.2014, p. 3143-3168.

    Research output: Contribution to journalArticle

    Al Osman, Hussein ; Eid, Mohamad ; El Saddik, Abdulmotaleb. / U-biofeedback : A multimedia-based reference model for ubiquitous biofeedback systems. In: Multimedia Tools and Applications. 2014 ; Vol. 72, No. 3. pp. 3143-3168.
    @article{a8808341178d4fc0ac1b2cb6eaba81b8,
    title = "U-biofeedback: A multimedia-based reference model for ubiquitous biofeedback systems",
    abstract = "Biofeedback is a well-accepted approach in preventative and alternative healthcare. It is known to promote wellbeing and help prevent and treat a wide variety of disorders related to the human physiology and psychology. With the exceptional growth of wearable sensor technologies, the potential for devising biofeedback systems that blend into everyday living is immense. Therefore, we present our vision for U-Biofeedback, a reference model for systems designed to continuously monitor our physiology and convey to us important messages regarding our status. Also, we present a case study for an application that implements our reference model. The application is designed to monitor the stress of individuals working in an office setting and provide an assistive response whenever stress reaches elevated levels. By devising an algorithm for stress detection that makes use of Heart Rate Variability (HRV) measures, we were able to identify negative stress situations with an accuracy of 89.63 {\%} and a false positive detection rate of 5.55 {\%} during our evaluation.",
    keywords = "Biofeedback, Health monitoring, Heart rate variability, Multimedia health systems, Occupancy-based services, Stress management",
    author = "{Al Osman}, Hussein and Mohamad Eid and {El Saddik}, Abdulmotaleb",
    year = "2014",
    month = "1",
    day = "1",
    doi = "10.1007/s11042-013-1590-x",
    language = "English (US)",
    volume = "72",
    pages = "3143--3168",
    journal = "Multimedia Tools and Applications",
    issn = "1380-7501",
    publisher = "Springer Netherlands",
    number = "3",

    }

    TY - JOUR

    T1 - U-biofeedback

    T2 - A multimedia-based reference model for ubiquitous biofeedback systems

    AU - Al Osman, Hussein

    AU - Eid, Mohamad

    AU - El Saddik, Abdulmotaleb

    PY - 2014/1/1

    Y1 - 2014/1/1

    N2 - Biofeedback is a well-accepted approach in preventative and alternative healthcare. It is known to promote wellbeing and help prevent and treat a wide variety of disorders related to the human physiology and psychology. With the exceptional growth of wearable sensor technologies, the potential for devising biofeedback systems that blend into everyday living is immense. Therefore, we present our vision for U-Biofeedback, a reference model for systems designed to continuously monitor our physiology and convey to us important messages regarding our status. Also, we present a case study for an application that implements our reference model. The application is designed to monitor the stress of individuals working in an office setting and provide an assistive response whenever stress reaches elevated levels. By devising an algorithm for stress detection that makes use of Heart Rate Variability (HRV) measures, we were able to identify negative stress situations with an accuracy of 89.63 % and a false positive detection rate of 5.55 % during our evaluation.

    AB - Biofeedback is a well-accepted approach in preventative and alternative healthcare. It is known to promote wellbeing and help prevent and treat a wide variety of disorders related to the human physiology and psychology. With the exceptional growth of wearable sensor technologies, the potential for devising biofeedback systems that blend into everyday living is immense. Therefore, we present our vision for U-Biofeedback, a reference model for systems designed to continuously monitor our physiology and convey to us important messages regarding our status. Also, we present a case study for an application that implements our reference model. The application is designed to monitor the stress of individuals working in an office setting and provide an assistive response whenever stress reaches elevated levels. By devising an algorithm for stress detection that makes use of Heart Rate Variability (HRV) measures, we were able to identify negative stress situations with an accuracy of 89.63 % and a false positive detection rate of 5.55 % during our evaluation.

    KW - Biofeedback

    KW - Health monitoring

    KW - Heart rate variability

    KW - Multimedia health systems

    KW - Occupancy-based services

    KW - Stress management

    UR - http://www.scopus.com/inward/record.url?scp=84940293831&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84940293831&partnerID=8YFLogxK

    U2 - 10.1007/s11042-013-1590-x

    DO - 10.1007/s11042-013-1590-x

    M3 - Article

    VL - 72

    SP - 3143

    EP - 3168

    JO - Multimedia Tools and Applications

    JF - Multimedia Tools and Applications

    SN - 1380-7501

    IS - 3

    ER -