Wearable Device Data Analysis

Wearable Device Data Analysis is a computational methodology within healthcare analytics that involves the systematic processing and interpretation of physiological and behavioral data collected from wearable sensors to derive actionable health insights, distinguished by its focus on continuous, real-time, and patient-generated health information in naturalistic settings.

43

Publications

1.5K

Citations

260

Authors

129

Institutions

Publications per year

2017–2026

38

Authors

260

  1. MA
    Mohammadreza Abtahi

    University of Rhode Island, United States

    2 publications · 71 citations

    2

    h-index

  2. HD
    Harishchandra Dubey

    The University of Texas at Dallas, United States

    2 publications · 71 citations

    2

    h-index

  3. KM
    Kunal Mankodiya

    University of Rhode Island, United States

    2 publications · 71 citations

    2

    h-index

  4. DB
    Debanjan Borthakur

    University of Toronto, Canada

    2 publications · 71 citations

    2

    h-index

  5. HZ
    Hongyu Zhao

    Yale University, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 260

Venues

  1. JMIR mhealth and uhealth

    2 publications · 55 citations

    2

    h-index

  2. Journal of Medical Internet Research

    2 publications · 131 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 71 citations

    2

    h-index

  4. Scientific Data

    1 publications · 50 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 86 citations

    1

    h-index

1–5