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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1121)

Published on in Vol 8 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21543, first published .
Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Authors of this article:

Elina Kuosmanen 1 Author Orcid Image ;   Florian Wolling 2 Author Orcid Image ;   Julio Vega 3 Author Orcid Image ;   Valerii Kan 1 Author Orcid Image ;   Yuuki Nishiyama 4 Author Orcid Image ;   Simon Harper 3 Author Orcid Image ;   Kristof Van Laerhoven 2 Author Orcid Image ;   Simo Hosio 1 Author Orcid Image ;   Denzil Ferreira 1 Author Orcid Image
Article Authors Cited by (9) Tweetations (9) Metrics

Journals

  1. Vescio B, Quattrone A, Nisticò R, Crasà M, Quattrone A. Wearable Devices for Assessment of Tremor. Frontiers in Neurology 2021;12 View
  2. Martín-Ávila G, Vieira-Campos A, Labrador-Marcos S, Zheng X, Méndez-Burgos A, Thuissard I, Andreu-Vázquez C, Ordieres-Meré J, Aladro Y. Patients' self-assessment of essential tremor severity by a validated scale: A useful tool in telemedicine?. Parkinsonism & Related Disorders 2022;96:22 View
  3. Xia Y, Hu J, Zhao S, Tao L, Li Z, Yue T, Kong J. Build-in sensors and analysis algorithms aided smartphone-based sensors for point-of-care tests. Biosensors and Bioelectronics: X 2022;11:100195 View
  4. Liu W, Lin X, Chen X, Wang Q, Wang X, Yang B, Cai N, Chen R, Chen G, Lin Y. Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity. Medical Image Analysis 2023;85:102754 View
  5. Xu Z, Shen B, Tang Y, Wu J, Wang J. Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care. Phenomics 2022;2(5):349 View
  6. Lee J, Yeom I, Chung M, Kim Y, Yoo S, Kim E. Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review. JMIR mHealth and uHealth 2022;10(1):e33944 View
  7. Moreta-de-Esteban P, Martín-Casas P, Ortiz-Gutiérrez R, Straudi S, Cano-de-la-Cuerda R. Mobile Applications for Resting Tremor Assessment in Parkinson’s Disease: A Systematic Review. Journal of Clinical Medicine 2023;12(6):2334 View

Books/Policy Documents

  1. Nair S, Muddapu V, Sriram M, Aditya R, Gupta R, Chakravarthy S. Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation. View