Watching Parkinson’s disease with wrist-based sensors

Parkinson’s disease (PD) lacks sensitive, objective, and reliable measures for disease progression and response. This presents a challenge for clinical trials given the multifaceted and fluctuating nature of PD symptoms. Innovations in digital health and wearable sensors promise to more precisely me...

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Autores principales: Diao, James A., Raza, Marium M., Venkatesh, Kaushik P., Kvedar, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192652/
https://www.ncbi.nlm.nih.gov/pubmed/35697864
http://dx.doi.org/10.1038/s41746-022-00619-4
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author Diao, James A.
Raza, Marium M.
Venkatesh, Kaushik P.
Kvedar, Joseph C.
author_facet Diao, James A.
Raza, Marium M.
Venkatesh, Kaushik P.
Kvedar, Joseph C.
author_sort Diao, James A.
collection PubMed
description Parkinson’s disease (PD) lacks sensitive, objective, and reliable measures for disease progression and response. This presents a challenge for clinical trials given the multifaceted and fluctuating nature of PD symptoms. Innovations in digital health and wearable sensors promise to more precisely measure aspects of patient function and well-being. Beyond research trials, digital biomarkers and clinical outcome assessments may someday support clinician-initiated or closed-loop treatment adjustments. A recent study from Verily Life Sciences presents results for a smartwatch-based motor exam intended to accelerate the development and evaluation of therapies for PD.
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spelling pubmed-91926522022-06-15 Watching Parkinson’s disease with wrist-based sensors Diao, James A. Raza, Marium M. Venkatesh, Kaushik P. Kvedar, Joseph C. NPJ Digit Med Editorial Parkinson’s disease (PD) lacks sensitive, objective, and reliable measures for disease progression and response. This presents a challenge for clinical trials given the multifaceted and fluctuating nature of PD symptoms. Innovations in digital health and wearable sensors promise to more precisely measure aspects of patient function and well-being. Beyond research trials, digital biomarkers and clinical outcome assessments may someday support clinician-initiated or closed-loop treatment adjustments. A recent study from Verily Life Sciences presents results for a smartwatch-based motor exam intended to accelerate the development and evaluation of therapies for PD. Nature Publishing Group UK 2022-06-13 /pmc/articles/PMC9192652/ /pubmed/35697864 http://dx.doi.org/10.1038/s41746-022-00619-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Diao, James A.
Raza, Marium M.
Venkatesh, Kaushik P.
Kvedar, Joseph C.
Watching Parkinson’s disease with wrist-based sensors
title Watching Parkinson’s disease with wrist-based sensors
title_full Watching Parkinson’s disease with wrist-based sensors
title_fullStr Watching Parkinson’s disease with wrist-based sensors
title_full_unstemmed Watching Parkinson’s disease with wrist-based sensors
title_short Watching Parkinson’s disease with wrist-based sensors
title_sort watching parkinson’s disease with wrist-based sensors
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192652/
https://www.ncbi.nlm.nih.gov/pubmed/35697864
http://dx.doi.org/10.1038/s41746-022-00619-4
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