Enhance the use of medical wearables through meaningful data analytics

Kurt Reifferscheid, Xiaokun Zhang

    Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Increasing wearable usage in healthcare faces the challenge in low long-term adoption partially due to a redundancy of devices and lack of meaningful uses of wearable technology. This paper aims at the reality needs to present a holistic view of data analytics and medical wearables; and clarify how to apply analytics techniques to a wearable problem or opportunity. The paper addresses the challenges related to undergoing data analytics with medical wearables, details how certain data mining and analytical techniques impact on processing wearable data, and outlines a framework developed for using data analytics with medical wearables data.

    Original languageEnglish
    Title of host publicationDigital Human Modeling
    Subtitle of host publicationApplications in Health, Safety, Ergonomics, and Risk Management: Health and Safety - 8th International Conference, DHM 2017 Held as Part of HCI International 2017, Proceedings
    EditorsVincent G. Duffy
    Pages281-296
    Number of pages16
    DOIs
    Publication statusPublished - 2017
    Event8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada
    Duration: 9 Jul. 201714 Jul. 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10287 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017
    Country/TerritoryCanada
    CityVancouver
    Period9/07/1714/07/17

    Keywords

    • Data analytics
    • Medical wearables
    • Ubiquitous computing

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