Literature DB >> 33536284

Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease.

Rob Powers1, Maryam Etezadi-Amoli1, Edith M Arnold1, Sara Kianian1,2, Irida Mance1, Maxsim Gibiansky1, Dan Trietsch1, Alexander Singh Alvarado1, James D Kretlow1, Todd M Herrington3,4, Salima Brillman5, Nengchun Huang6, Peter T Lin6, Hung A Pham1, Adeeti V Ullal7.   

Abstract

Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could enable more precise treatment decisions. We developed the Motor fluctuations Monitor for Parkinson's Disease (MM4PD), an ambulatory monitoring system that used smartwatch inertial sensors to continuously track fluctuations in resting tremor and dyskinesia. We designed and validated MM4PD in 343 participants with PD, including a longitudinal study of up to 6 months in a 225-subject cohort. MM4PD measurements correlated to clinical evaluations of tremor severity (ρ = 0.80) and mapped to expert ratings of dyskinesia presence (P < 0.001) during in-clinic tasks. MM4PD captured symptom changes in response to treatment that matched the clinician's expectations in 94% of evaluated subjects. In the remaining 6% of cases, symptom data from MM4PD identified opportunities to make improvements in pharmacologic strategy. These results demonstrate the promise of MM4PD as a tool to support patient-clinician communication, medication titration, and clinical trial design.
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2021        PMID: 33536284     DOI: 10.1126/scitranslmed.abd7865

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  21 in total

1.  Real-World Evidence for a Smartwatch-Based Parkinson's Motor Assessment App for Patients Undergoing Therapy Changes.

Authors:  Aaron J Hadley; David E Riley; Dustin A Heldman
Journal:  Digit Biomark       Date:  2021-09-08

2.  A systematic review of local field potential physiomarkers in Parkinson's disease: from clinical correlations to adaptive deep brain stimulation algorithms.

Authors:  Bernadette C M van Wijk; Rob M A de Bie; Martijn Beudel
Journal:  J Neurol       Date:  2022-10-08       Impact factor: 6.682

3.  Quantitative Digitography Measures Motor Symptoms and Disease Progression in Parkinson's Disease.

Authors:  Kevin B Wilkins; Matthew N Petrucci; Yasmine Kehnemouyi; Anca Velisar; Katie Han; Gerrit Orthlieb; Megan H Trager; Johanna J O'Day; Sudeep Aditham; Helen Bronte-Stewart
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

4.  Non-Contact Hand Movement Analysis for Optimal Configuration of Smart Sensors to Capture Parkinson's Disease Hand Tremor.

Authors:  Prashanna Khwaounjoo; Gurleen Singh; Sophie Grenfell; Burak Özsoy; Michael R MacAskill; Tim J Anderson; Yusuf O Çakmak
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

5.  Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder.

Authors:  Nicole R Provenza; Sameer A Sheth; Evan M Dastin-van Rijn; Raissa K Mathura; Yaohan Ding; Gregory S Vogt; Michelle Avendano-Ortega; Nithya Ramakrishnan; Noam Peled; Luiz Fernando Fracassi Gelin; David Xing; Laszlo A Jeni; Itir Onal Ertugrul; Adriel Barrios-Anderson; Evan Matteson; Andrew D Wiese; Junqian Xu; Ashwin Viswanathan; Matthew T Harrison; Kelly R Bijanki; Eric A Storch; Jeffrey F Cohn; Wayne K Goodman; David A Borton
Journal:  Nat Med       Date:  2021-12-09       Impact factor: 87.241

6.  American Academy of Neurology Telehealth Position Statement.

Authors:  Jaime M Hatcher-Martin; Neil A Busis; Bruce H Cohen; Rebecca A Wolf; Elaine C Jones; Eric R Anderson; Joseph V Fritz; Steven J Shook; Riley M Bove
Journal:  Neurology       Date:  2021-05-13       Impact factor: 9.910

Review 7.  The state of telemedicine for persons with Parkinson's disease.

Authors:  Robin van den Bergh; Bastiaan R Bloem; Marjan J Meinders; Luc J W Evers
Journal:  Curr Opin Neurol       Date:  2021-08-01       Impact factor: 6.283

8.  State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics.

Authors:  Roozbeh Ghaffari; Da Som Yang; Joohee Kim; Amer Mansour; John A Wright; Jeffrey B Model; Donald E Wright; John A Rogers; Tyler R Ray
Journal:  ACS Sens       Date:  2021-08-05       Impact factor: 9.618

9.  The Role of Large-Scale Data Infrastructure in Developing Next-Generation Deep Brain Stimulation Therapies.

Authors:  Witney Chen; Lowry Kirkby; Miro Kotzev; Patrick Song; Ro'ee Gilron; Brian Pepin
Journal:  Front Hum Neurosci       Date:  2021-09-06       Impact factor: 3.169

10.  Feasibility of a Multimodal Telemedical Intervention for Patients with Parkinson's Disease-A Pilot Study.

Authors:  Jonas Bendig; Anna-Sophie Wolf; Tony Mark; Anika Frank; Josephine Mathiebe; Madlen Scheibe; Gabriele Müller; Marcus Stahr; Jochen Schmitt; Heinz Reichmann; Kai F Loewenbrück; Björn H Falkenburger
Journal:  J Clin Med       Date:  2022-02-18       Impact factor: 4.241

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