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

Digital Health Reviews (1316) Wearable Devices and Sensors (900) Mobile Health (mhealth) (2972) mHealth for Data Collection and Research (974)

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 Guo1 Author Orcid Image ;   Patrizia Andrea Chiesa1 Author Orcid Image ;   Carl de Moor1 Author Orcid Image ;   Mir Sohail Fazeli2 Author Orcid Image ;   Thomas Schofield2 Author Orcid Image ;   Kimberly Hofer2 Author Orcid Image ;   Shibeshih Belachew1 Author Orcid Image ;   Alf Scotland3 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Romagnoli S, Ripanti F, Morettini M, Burattini L, Sbrollini A. Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review. Sensors 2023;23(6):3350 View
  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
  5. Maetzler W, Mirelman A, Pilotto A, Bhidayasiri R, Berg D, Bloem B, Kalia L, Postuma R. Identifying Subtle Motor Deficits Before Parkinson’s Disease is Diagnosed: What to Look for?. Journal of Parkinson's Disease 2024;14(s2):S287 View
  6. Borriello G, Chisari C, Maimone D, Mirabella M, Paolicelli D, Assogna F, Caradonna S, Patti F. Cladribine effects on patient-reported outcomes and their clinical and biometric correlates in highly active relapsing multiple sclerosis at first switch: the observational, multicenter, prospective, phase IV CLADFIT-MS study. Frontiers in Neurology 2024;15 View
  7. Boege S, Milne-Ives M, Meinert E, Carroll C. Self-Management Systems for Patients and Clinicians in Parkinson Care: Protocol for an Integrated Scoping Review, Product Search, and Evaluation. JMIR Research Protocols 2024;13:e58845 View
  8. Boege S, Milne-Ives M, Ananthakrishnan A, Carroll C, Meinert E. Self-Management Systems for Patients and Clinicians in Parkinson’s Disease Care: A Scoping Review. Journal of Parkinson's Disease 2024;14(7):1387 View
  9. Matias P, Araújo R, Graça R, Henriques A, Belo D, Valada M, Lotfi N, Mateus E, Radner H, Rodrigues A, Studenic P, Nunes F. COTIDIANA Dataset – Smartphone-Collected Data on the Mobility, Finger Dexterity, and Mental Health of People With Rheumatic and Musculoskeletal Diseases. IEEE Journal of Biomedical and Health Informatics 2024;28(11):6538 View