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BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease
Taking regular walks when living with Parkinson’s disease (PD) has beneficial effects on movement and quality of life. Yet, patients usually show reduced physical activity compared to healthy older adults. Using auditory stimulation such as music can facilitate walking but patients vary significantl...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109247/ https://www.ncbi.nlm.nih.gov/pubmed/33981279 http://dx.doi.org/10.3389/fpsyg.2021.655121 |
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author | Cochen De Cock, Valérie Dotov, Dobromir Damm, Loic Lacombe, Sandy Ihalainen, Petra Picot, Marie Christine Galtier, Florence Lebrun, Cindy Giordano, Aurélie Driss, Valérie Geny, Christian Garzo, Ainara Hernandez, Erik Van Dyck, Edith Leman, Marc Villing, Rudi Bardy, Benoit G. Dalla Bella, Simone |
author_facet | Cochen De Cock, Valérie Dotov, Dobromir Damm, Loic Lacombe, Sandy Ihalainen, Petra Picot, Marie Christine Galtier, Florence Lebrun, Cindy Giordano, Aurélie Driss, Valérie Geny, Christian Garzo, Ainara Hernandez, Erik Van Dyck, Edith Leman, Marc Villing, Rudi Bardy, Benoit G. Dalla Bella, Simone |
author_sort | Cochen De Cock, Valérie |
collection | PubMed |
description | Taking regular walks when living with Parkinson’s disease (PD) has beneficial effects on movement and quality of life. Yet, patients usually show reduced physical activity compared to healthy older adults. Using auditory stimulation such as music can facilitate walking but patients vary significantly in their response. An individualized approach adapting musical tempo to patients’ gait cadence, and capitalizing on these individual differences, is likely to provide a rewarding experience, increasing motivation for walk-in PD. We aim to evaluate the observance, safety, tolerance, usability, and enjoyment of a new smartphone application. It was coupled with wearable sensors (BeatWalk) and delivered individualized musical stimulation for gait auto-rehabilitation at home. Forty-five patients with PD underwent a 1-month, outdoor, uncontrolled gait rehabilitation program, using the BeatWalk application (30 min/day, 5 days/week). The music tempo was being aligned in real-time to patients’ gait cadence in a way that could foster an increase up to +10% of their spontaneous cadence. Open-label evaluation was based on BeatWalk use measures, questionnaires, and a six-minute walk test. Patients used the application 78.8% (±28.2) of the prescribed duration and enjoyed it throughout the program. The application was considered “easy to use” by 75% of the patients. Pain, fatigue, and falls did not increase. Fear of falling decreased and quality of life improved. After the program, patients improved their gait parameters in the six-minute walk test without musical stimulation. BeatWalk is an easy to use, safe, and enjoyable musical application for individualized gait rehabilitation in PD. It increases “walk for exercise” duration thanks to high observance. Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT02647242. |
format | Online Article Text |
id | pubmed-8109247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81092472021-05-11 BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease Cochen De Cock, Valérie Dotov, Dobromir Damm, Loic Lacombe, Sandy Ihalainen, Petra Picot, Marie Christine Galtier, Florence Lebrun, Cindy Giordano, Aurélie Driss, Valérie Geny, Christian Garzo, Ainara Hernandez, Erik Van Dyck, Edith Leman, Marc Villing, Rudi Bardy, Benoit G. Dalla Bella, Simone Front Psychol Psychology Taking regular walks when living with Parkinson’s disease (PD) has beneficial effects on movement and quality of life. Yet, patients usually show reduced physical activity compared to healthy older adults. Using auditory stimulation such as music can facilitate walking but patients vary significantly in their response. An individualized approach adapting musical tempo to patients’ gait cadence, and capitalizing on these individual differences, is likely to provide a rewarding experience, increasing motivation for walk-in PD. We aim to evaluate the observance, safety, tolerance, usability, and enjoyment of a new smartphone application. It was coupled with wearable sensors (BeatWalk) and delivered individualized musical stimulation for gait auto-rehabilitation at home. Forty-five patients with PD underwent a 1-month, outdoor, uncontrolled gait rehabilitation program, using the BeatWalk application (30 min/day, 5 days/week). The music tempo was being aligned in real-time to patients’ gait cadence in a way that could foster an increase up to +10% of their spontaneous cadence. Open-label evaluation was based on BeatWalk use measures, questionnaires, and a six-minute walk test. Patients used the application 78.8% (±28.2) of the prescribed duration and enjoyed it throughout the program. The application was considered “easy to use” by 75% of the patients. Pain, fatigue, and falls did not increase. Fear of falling decreased and quality of life improved. After the program, patients improved their gait parameters in the six-minute walk test without musical stimulation. BeatWalk is an easy to use, safe, and enjoyable musical application for individualized gait rehabilitation in PD. It increases “walk for exercise” duration thanks to high observance. Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT02647242. Frontiers Media S.A. 2021-04-26 /pmc/articles/PMC8109247/ /pubmed/33981279 http://dx.doi.org/10.3389/fpsyg.2021.655121 Text en Copyright © 2021 Cochen De Cock, Dotov, Damm, Lacombe, Ihalainen, Picot, Galtier, Lebrun, Giordano, Driss, Geny, Garzo, Hernandez, Van Dyck, Leman, Villing, Bardy and Dalla Bella. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Cochen De Cock, Valérie Dotov, Dobromir Damm, Loic Lacombe, Sandy Ihalainen, Petra Picot, Marie Christine Galtier, Florence Lebrun, Cindy Giordano, Aurélie Driss, Valérie Geny, Christian Garzo, Ainara Hernandez, Erik Van Dyck, Edith Leman, Marc Villing, Rudi Bardy, Benoit G. Dalla Bella, Simone BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title | BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title_full | BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title_fullStr | BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title_full_unstemmed | BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title_short | BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease |
title_sort | beatwalk: personalized music-based gait rehabilitation in parkinson’s disease |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109247/ https://www.ncbi.nlm.nih.gov/pubmed/33981279 http://dx.doi.org/10.3389/fpsyg.2021.655121 |
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