BeatWalk: Personalized Music-Based Gait Rehabilitation in Parkinson’s Disease

Autor: Valérie Cochen De Cock, Dobromir Dotov, Loic Damm, Sandy Lacombe, Petra Ihalainen, Marie Christine Picot, Florence Galtier, Cindy Lebrun, Aurélie Giordano, Valérie Driss, Christian Geny, Ainara Garzo, Erik Hernandez, Edith Van Dyck, Marc Leman, Rudi Villing, Benoit G. Bardy, Simone Dalla Bella
Přispěvatelé: EuroMov - Digital Health in Motion (Euromov DHM), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Montpellier (UM), Clinique Beau Soleil [Montpellier], McMaster University [Hamilton, Ontario], Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), AZTI - Tecnalia, Ghent University Hospital, National University of Ireland Maynooth (Maynooth University), International Laboratory for Brain, Music and Sound Research (BRAMS), Université de Montréal (UdeM), Université du Québec à Montréal = University of Québec in Montréal (UQAM), University of Economics and Human Sciences in Warsaw [Varsovie, Pologne], IMT - Mines Alès, Administrateur
Rok vydání: 2021
Předmět:
0301 basic medicine
medicine.medical_specialty
Technology and Engineering
[SPI] Engineering Sciences [physics]
medicine.medical_treatment
Parkinson's disease
physical activity
gait rehabilitation
Fear of falling
03 medical and health sciences
[SPI]Engineering Sciences [physics]
0302 clinical medicine
Physical medicine and rehabilitation
Gait (human)
Quality of life
medicine
Medicine and Health Sciences
Psychology
rhythmic auditory stimulation
General Psychology
Gait rehabilitation
Original Research
Rehabilitation
business.industry
Physical activity
Usability
Rehabilitation in Parkinson's disease
Arts and Architecture
BF1-990
Rhythmic auditory stimulation
030104 developmental biology
Duration (music)
Cueing
Parkinson’s disease
precision medicine BeatWalk
medicine.symptom
Precision medicine BeatWalk
Cadence
business
human activities
030217 neurology & neurosurgery
cueing
Zdroj: TECNALIA Publications
Fundación Tecnalia Research & Innovation
FRONTIERS IN PSYCHOLOGY
Frontiers in Psychology
Frontiers in Psychology, 2021, 12, ⟨10.3389/fpsyg.2021.655121⟩
Frontiers in Psychology, Vol 12 (2021)
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2021.655121⟩
Popis: 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. This research was supported by a European grant: BeatHealth: Health and Wellness on the Beat for VC, DD, CL, AGi, VD, RV, EH, ED, ML, BB, and SB (EU FP7-ICT contract #610633).
Databáze: OpenAIRE