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

Digital Health Reviews (1829) Wearable Devices and Sensors (1214) Diagnostic Tools in Mental Health (340) Computer-Aided Diagnosis (278) Dementia and Cognitive Decline (745) Sensors at Home and Domotics (84) Mobile Health (mhealth) (3661)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69422, first published .
Evaluating the Utility of Wearable Sensors for the Early Diagnosis of Parkinson Disease: Systematic Review

Evaluating the Utility of Wearable Sensors for the Early Diagnosis of Parkinson Disease: Systematic Review

Evaluating the Utility of Wearable Sensors for the Early Diagnosis of Parkinson Disease: Systematic Review

Authors of this article:

Hai Li1 Author Orcid Image ;   Massimiliano Zecca2 Author Orcid Image ;   Jiajun Huang3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Saggio G, Roselli P, Pietrosanti L, Romano A, Arangino N, Patera M, Suppa A. A New Geometric Algebra-Based Classification of Hand Bradykinesia in Parkinson’s Disease Measured Using a Sensory Glove. Algorithms 2025;18(8):527 View
  2. Lin W, Zhou T, Yang Q. A Biomechanics-Guided and Time–Frequency Collaborative Deep Learning Framework for Parkinsonian Gait Severity Assessment. Mathematics 2025;14(1):89 View
  3. Li S, Chen S, Yu X, Shang H, Tu T, Quan M. AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson Disease: Scoping Review. Journal of Medical Internet Research 2026;28:e85596 View
  4. Kim M, Youm C, Park H, Kim B, Choi H, Hwang J, Cheon S. Machine learning classification of early-stage Parkinson’s disease using sit-to-walk biomechanical features. Scientific Reports 2026;16(1) View
  5. Shcheglov B, Yakovenko A, Artemenko A, Ledkov E, Biktimirov A. Wearable Digital Devices as a Tool for Objective Assessment of Motor Disorders in Parkinson’s Disease: A Review of Current Studies. Advanced Engineering Research (Rostov-on-Don) 2026;26(1):2257 View