This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Telehealth and Telemonitoring (1671) Wearable Devices and Sensors (889) Portable and Mobile Technologies for Rehabilitation (151) mHealth for Telemedicine and Homecare (399) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Rehabilitation (263) Telerehabilitation (159)

Published on in Vol 6, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11315, first published .
Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis

Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis

Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis

Authors of this article:

Vibhu Agarwal1 Author Orcid Image ;   Matthew Smuck2 Author Orcid Image ;   Christy Tomkins-Lane3 Author Orcid Image ;   Nigam H Shah1 Author Orcid Image
Article Authors Cited by (12) Tweetations (1) Metrics

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  7. GURCHIEK R, BEYNNON B, AGRESTA C, CHOQUETTE R, MCGINNIS R. Wearable sensors for remote patient monitoring in orthopedics. Minerva Orthopedics 2021;72(5) View
  8. Li Q, Liu Y, Zhu J, Chen Z, Liu L, Yang S, Zhu G, Zhu B, Li J, Jin R, Tao J, Chen L. Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation. JMIR mHealth and uHealth 2021;9(9):e24402 View
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  1. Chin A, Rider N. Artificial Intelligence in Medicine. View
  2. Chin A, Rider N. Artificial Intelligence in Medicine. View