A full body sensing system for monitoring stroke patients in a home environment

Bart Klaassen, Bernhard J.F. van Beijnum, Marcel H.H. Weusthof, D.H.W. Hofs, Fokke van Meulen, Adriaan Droog, Hendrik J. Luinge, Laurens Slot, Alessandro Tognetti, Frederico Lorussi, Rita Paradiso, Jeremia Held, Andreas Luft, Jasper Reenalda, Corien Diana Maria Nikamp-Simons, Jaap Buurke, Hermanus J. Hermens, Petrus H. Veltink

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    7 Citations (Scopus)

    Abstract

    Currently, the changes in functional capacity and performance of stroke patients after returning home from a rehabilitation hospital is unknown to a physician, having no objective information about the intensity and quality of a patient’s daily-life activities. Therefore, there is a need to develop and validate an unobtrusive and modular system for objectively monitoring the stroke patient’s upper and lower extremity motor function in daily-life activities and in home training. This is the main goal of the European FP7 project named “INTERACTION‿. A complete full body sensing system is developed, whicj integrates Inertial Measurement Units (IMU), Knitted Piezoresistive Fabric (KPF) strain sensors, KPF goniometers, EMG electrodes and force sensors into a modular sensor suit designed for stroke patients. In this paper, we describe the complete INTERACTION sensor system. Data from the sensors are captured wirelessly by a software application and stored in a remote secure database for later access and processing via portal technology. Data processing includes a 3D full body reconstruction by means of the Xsens MoCap Engine, providing position and orientation of each body segment (poses). In collaboration with clinicians and engineers, clinical assessment measures were defined and the question of how to present the data on the web portal was addressed. The complete sensing system is fully implemented and is currently being validated. Patients measurements start in June 2014.
    Original languageEnglish
    Title of host publicationBiomedical Engineering Systems and Technologies
    Subtitle of host publication7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers
    EditorsGuy Plantier, Tanja Schultz, Ana Fred, Hugo Gamboa
    Place of PublicationLondon
    PublisherSpringer
    Pages378-393
    Number of pages16
    ISBN (Electronic)978-3-319-26129-4
    ISBN (Print)978-3-319-26128-7
    DOIs
    Publication statusPublished - 7 Jan 2016
    Event7th International Joint Conference International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, France
    Duration: 3 Mar 20146 Mar 2014
    Conference number: 7

    Publication series

    NameCommunications in Computer and Information Science
    PublisherSpringer Verlag
    Number511
    Volume511
    ISSN (Print)1865-0929
    ISSN (Electronic)1865-0937

    Conference

    Conference7th International Joint Conference International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
    Abbreviated titleBIOSTEC 2014
    CountryFrance
    CityAngers
    Period3/03/146/03/14

    Fingerprint

    Patient monitoring
    Sensors
    Goniometers
    Units of measurement
    Application programs
    Patient rehabilitation
    Engines
    Engineers
    Electrodes
    Monitoring
    Processing

    Keywords

    • Sensing System
    • Home Environment
    • EWI-27741
    • EC Grant Agreement nr.: FP7/287351
    • Monitoring
    • Daily-life Activities
    • Architecture
    • Capacity
    • IR-103590
    • METIS-321720
    • Telemedicine
    • Stroke
    • Performance

    Cite this

    Klaassen, B., van Beijnum, B. J. F., Weusthof, M. H. H., Hofs, D. H. W., van Meulen, F., Droog, A., ... Veltink, P. H. (2016). A full body sensing system for monitoring stroke patients in a home environment. In G. Plantier, T. Schultz, A. Fred, & H. Gamboa (Eds.), Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers (pp. 378-393). (Communications in Computer and Information Science; Vol. 511, No. 511). London: Springer. https://doi.org/10.1007/978-3-319-26129-4_25
    Klaassen, Bart ; van Beijnum, Bernhard J.F. ; Weusthof, Marcel H.H. ; Hofs, D.H.W. ; van Meulen, Fokke ; Droog, Adriaan ; Luinge, Hendrik J. ; Slot, Laurens ; Tognetti, Alessandro ; Lorussi, Frederico ; Paradiso, Rita ; Held, Jeremia ; Luft, Andreas ; Reenalda, Jasper ; Nikamp-Simons, Corien Diana Maria ; Buurke, Jaap ; Hermens, Hermanus J. ; Veltink, Petrus H. / A full body sensing system for monitoring stroke patients in a home environment. Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers. editor / Guy Plantier ; Tanja Schultz ; Ana Fred ; Hugo Gamboa. London : Springer, 2016. pp. 378-393 (Communications in Computer and Information Science; 511).
    @inproceedings{0dc349c4bb5040b69bb55fe82609cb71,
    title = "A full body sensing system for monitoring stroke patients in a home environment",
    abstract = "Currently, the changes in functional capacity and performance of stroke patients after returning home from a rehabilitation hospital is unknown to a physician, having no objective information about the intensity and quality of a patient’s daily-life activities. Therefore, there is a need to develop and validate an unobtrusive and modular system for objectively monitoring the stroke patient’s upper and lower extremity motor function in daily-life activities and in home training. This is the main goal of the European FP7 project named “INTERACTION‿. A complete full body sensing system is developed, whicj integrates Inertial Measurement Units (IMU), Knitted Piezoresistive Fabric (KPF) strain sensors, KPF goniometers, EMG electrodes and force sensors into a modular sensor suit designed for stroke patients. In this paper, we describe the complete INTERACTION sensor system. Data from the sensors are captured wirelessly by a software application and stored in a remote secure database for later access and processing via portal technology. Data processing includes a 3D full body reconstruction by means of the Xsens MoCap Engine, providing position and orientation of each body segment (poses). In collaboration with clinicians and engineers, clinical assessment measures were defined and the question of how to present the data on the web portal was addressed. The complete sensing system is fully implemented and is currently being validated. Patients measurements start in June 2014.",
    keywords = "Sensing System, Home Environment, EWI-27741, EC Grant Agreement nr.: FP7/287351, Monitoring, Daily-life Activities, Architecture, Capacity, IR-103590, METIS-321720, Telemedicine, Stroke, Performance",
    author = "Bart Klaassen and {van Beijnum}, {Bernhard J.F.} and Weusthof, {Marcel H.H.} and D.H.W. Hofs and {van Meulen}, Fokke and Adriaan Droog and Luinge, {Hendrik J.} and Laurens Slot and Alessandro Tognetti and Frederico Lorussi and Rita Paradiso and Jeremia Held and Andreas Luft and Jasper Reenalda and Nikamp-Simons, {Corien Diana Maria} and Jaap Buurke and Hermens, {Hermanus J.} and Veltink, {Petrus H.}",
    year = "2016",
    month = "1",
    day = "7",
    doi = "10.1007/978-3-319-26129-4_25",
    language = "English",
    isbn = "978-3-319-26128-7",
    series = "Communications in Computer and Information Science",
    publisher = "Springer",
    number = "511",
    pages = "378--393",
    editor = "Guy Plantier and Tanja Schultz and Ana Fred and Hugo Gamboa",
    booktitle = "Biomedical Engineering Systems and Technologies",

    }

    Klaassen, B, van Beijnum, BJF, Weusthof, MHH, Hofs, DHW, van Meulen, F, Droog, A, Luinge, HJ, Slot, L, Tognetti, A, Lorussi, F, Paradiso, R, Held, J, Luft, A, Reenalda, J, Nikamp-Simons, CDM, Buurke, J, Hermens, HJ & Veltink, PH 2016, A full body sensing system for monitoring stroke patients in a home environment. in G Plantier, T Schultz, A Fred & H Gamboa (eds), Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers. Communications in Computer and Information Science, no. 511, vol. 511, Springer, London, pp. 378-393, 7th International Joint Conference International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, Angers, France, 3/03/14. https://doi.org/10.1007/978-3-319-26129-4_25

    A full body sensing system for monitoring stroke patients in a home environment. / Klaassen, Bart; van Beijnum, Bernhard J.F.; Weusthof, Marcel H.H.; Hofs, D.H.W.; van Meulen, Fokke; Droog, Adriaan; Luinge, Hendrik J.; Slot, Laurens; Tognetti, Alessandro; Lorussi, Frederico; Paradiso, Rita; Held, Jeremia; Luft, Andreas; Reenalda, Jasper; Nikamp-Simons, Corien Diana Maria; Buurke, Jaap; Hermens, Hermanus J.; Veltink, Petrus H.

    Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers. ed. / Guy Plantier; Tanja Schultz; Ana Fred; Hugo Gamboa. London : Springer, 2016. p. 378-393 (Communications in Computer and Information Science; Vol. 511, No. 511).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - A full body sensing system for monitoring stroke patients in a home environment

    AU - Klaassen, Bart

    AU - van Beijnum, Bernhard J.F.

    AU - Weusthof, Marcel H.H.

    AU - Hofs, D.H.W.

    AU - van Meulen, Fokke

    AU - Droog, Adriaan

    AU - Luinge, Hendrik J.

    AU - Slot, Laurens

    AU - Tognetti, Alessandro

    AU - Lorussi, Frederico

    AU - Paradiso, Rita

    AU - Held, Jeremia

    AU - Luft, Andreas

    AU - Reenalda, Jasper

    AU - Nikamp-Simons, Corien Diana Maria

    AU - Buurke, Jaap

    AU - Hermens, Hermanus J.

    AU - Veltink, Petrus H.

    PY - 2016/1/7

    Y1 - 2016/1/7

    N2 - Currently, the changes in functional capacity and performance of stroke patients after returning home from a rehabilitation hospital is unknown to a physician, having no objective information about the intensity and quality of a patient’s daily-life activities. Therefore, there is a need to develop and validate an unobtrusive and modular system for objectively monitoring the stroke patient’s upper and lower extremity motor function in daily-life activities and in home training. This is the main goal of the European FP7 project named “INTERACTION‿. A complete full body sensing system is developed, whicj integrates Inertial Measurement Units (IMU), Knitted Piezoresistive Fabric (KPF) strain sensors, KPF goniometers, EMG electrodes and force sensors into a modular sensor suit designed for stroke patients. In this paper, we describe the complete INTERACTION sensor system. Data from the sensors are captured wirelessly by a software application and stored in a remote secure database for later access and processing via portal technology. Data processing includes a 3D full body reconstruction by means of the Xsens MoCap Engine, providing position and orientation of each body segment (poses). In collaboration with clinicians and engineers, clinical assessment measures were defined and the question of how to present the data on the web portal was addressed. The complete sensing system is fully implemented and is currently being validated. Patients measurements start in June 2014.

    AB - Currently, the changes in functional capacity and performance of stroke patients after returning home from a rehabilitation hospital is unknown to a physician, having no objective information about the intensity and quality of a patient’s daily-life activities. Therefore, there is a need to develop and validate an unobtrusive and modular system for objectively monitoring the stroke patient’s upper and lower extremity motor function in daily-life activities and in home training. This is the main goal of the European FP7 project named “INTERACTION‿. A complete full body sensing system is developed, whicj integrates Inertial Measurement Units (IMU), Knitted Piezoresistive Fabric (KPF) strain sensors, KPF goniometers, EMG electrodes and force sensors into a modular sensor suit designed for stroke patients. In this paper, we describe the complete INTERACTION sensor system. Data from the sensors are captured wirelessly by a software application and stored in a remote secure database for later access and processing via portal technology. Data processing includes a 3D full body reconstruction by means of the Xsens MoCap Engine, providing position and orientation of each body segment (poses). In collaboration with clinicians and engineers, clinical assessment measures were defined and the question of how to present the data on the web portal was addressed. The complete sensing system is fully implemented and is currently being validated. Patients measurements start in June 2014.

    KW - Sensing System

    KW - Home Environment

    KW - EWI-27741

    KW - EC Grant Agreement nr.: FP7/287351

    KW - Monitoring

    KW - Daily-life Activities

    KW - Architecture

    KW - Capacity

    KW - IR-103590

    KW - METIS-321720

    KW - Telemedicine

    KW - Stroke

    KW - Performance

    U2 - 10.1007/978-3-319-26129-4_25

    DO - 10.1007/978-3-319-26129-4_25

    M3 - Conference contribution

    SN - 978-3-319-26128-7

    T3 - Communications in Computer and Information Science

    SP - 378

    EP - 393

    BT - Biomedical Engineering Systems and Technologies

    A2 - Plantier, Guy

    A2 - Schultz, Tanja

    A2 - Fred, Ana

    A2 - Gamboa, Hugo

    PB - Springer

    CY - London

    ER -

    Klaassen B, van Beijnum BJF, Weusthof MHH, Hofs DHW, van Meulen F, Droog A et al. A full body sensing system for monitoring stroke patients in a home environment. In Plantier G, Schultz T, Fred A, Gamboa H, editors, Biomedical Engineering Systems and Technologies: 7th International Joint Conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected Papers. London: Springer. 2016. p. 378-393. (Communications in Computer and Information Science; 511). https://doi.org/10.1007/978-3-319-26129-4_25