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

Sensors at Home and Domotics (48) Digital Biomarkers and Digital Phenotyping (155) Ubiquitous Health (uHealth) (113) Cognitive and Neurorehabilitation (217)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19068, first published .
Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study

Authors of this article:

Luc JW Evers 1, 2 Author Orcid Image ;   Yordan P Raykov 3 Author Orcid Image ;   Jesse H Krijthe 2 Author Orcid Image ;   Ana Lígia Silva de Lima 1 Author Orcid Image ;   Reham Badawy 4 Author Orcid Image ;   Kasper Claes 5 Author Orcid Image ;   Tom M Heskes 2 Author Orcid Image ;   Max A Little 4 Author Orcid Image ;   Marjan J Meinders 6 Author Orcid Image ;   Bastiaan R Bloem 1 Author Orcid Image
Article Authors Cited by (33) Tweetations (12) Metrics

Journals

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  14. Raykov Y, Evers L, Badawy R, Bloem B, Heskes T, Meinders M, Claes K, Little M. Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life. IEEE Journal of Biomedical and Health Informatics 2021;25(6):2293 View
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  17. Habets J, Herff C, Kubben P, Kuijf M, Temel Y, Evers L, Bloem B, Starr P, Gilron R, Little S. Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer. Sensors 2021;21(23):7876 View
  18. Virmani T, Lotia M, Glover A, Pillai L, Kemp A, Iyer A, Farmer P, Syed S, Larson-Prior L, Prior F. Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas. Journal of Clinical and Translational Science 2022;6(1) View
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  20. Chandrabhatla A, Pomeraniec I, Ksendzovsky A. Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms. npj Digital Medicine 2022;5(1) View
  21. Fröhlich H, Bontridder N, Petrovska-Delacréta D, Glaab E, Kluge F, Yacoubi M, Marín Valero M, Corvol J, Eskofier B, Van Gyseghem J, Lehericy S, Winkler J, Klucken J. Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease. Frontiers in Neurology 2022;13 View
  22. Rehman R, Guan Y, Shi J, Alcock L, Yarnall A, Rochester L, Del Din S. Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning. Frontiers in Aging Neuroscience 2022;14 View
  23. Sakamaki T, Furusawa Y, Hayashi A, Otsuka M, Fernandez J. Remote Patient Monitoring for Neuropsychiatric Disorders: A Scoping Review of Current Trends and Future Perspectives from Recent Publications and Upcoming Clinical Trials. Telemedicine and e-Health 2022;28(9):1235 View
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Books/Policy Documents

  1. Munoz Ospina B, Quintana-Peña V, Alvarez D, A. Valderrama J, Takeuchi Y, L. Orozco J. Dementia in Parkinson’s Disease - Everything you Need to Know. View
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