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

Digital Health Reviews (994) Wearable Devices and Sensors (729) Mobile Health (mhealth) (2347) mHealth for Data Collection and Research (770)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37683, first published .
Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review

Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review

Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review

Authors of this article:

Christine C Guo 1 Author Orcid Image ;   Patrizia Andrea Chiesa 1 Author Orcid Image ;   Carl de Moor 1 Author Orcid Image ;   Mir Sohail Fazeli 2 Author Orcid Image ;   Thomas Schofield 2 Author Orcid Image ;   Kimberly Hofer 2 Author Orcid Image ;   Shibeshih Belachew 1 Author Orcid Image ;   Alf Scotland 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

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  2. Silva-Migueis H, Martínez-Jiménez E, Casado-Hernández I, Dias A, Monteiro A, Martins R, Bernardes J, López-López D, Gómez-Salgado J. Upper-Limb Kinematic Behavior and Performance Fatigability of Elderly Participants Performing an Isometric Task: A Quasi-Experimental Study. Bioengineering 2023;10(5):526 View
  3. Kowahl N, Shin S, Barman P, Rainaldi E, Popham S, Kapur R. Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study. JMIR Human Factors 2023;10:e48270 View
  4. Darcy B, Rashford L, Shultz S, Tsai N, Huizenga D, Reed K, Bamberg S. Gait Device Treatment Using Telehealth for Individuals With Stroke During the COVID-19 Pandemic: Nonrandomized Pilot Feasibility Study. JMIR Formative Research 2023;7:e43008 View