A Music-Based Digital Therapeutic: Proof-of-Concept Automation of a Progressive and Individualized Rhythm-Based Walking Training Program After Stroke.
Background: The rhythm of music can entrain neurons in motor cortex by way of direct connections between auditory and motor brain regions. Objective: We sought to automate an individualized and progressive music-based, walking rehabilitation program using real-time sensor data in combination with de...
| Publicado en: | Neurorehabilitation & Neural Repair Vol. 34; no. 11; pp. 986 - 997 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Nov2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146871789&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146871789 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459683 IRK jtl: Neurorehabilitation & Neural Repair issn: 15459683 maglogo: Y pubinfo: dt: Nov2020 vid: 34 iid: 11 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 146871789 146594138 146871789 146871789 10.1177/1545968320961114 146871789 ppf: 986 ppct: 11 formats: tig: atl: A Music-Based Digital Therapeutic: Proof-of-Concept Automation of a Progressive and Individualized Rhythm-Based Walking Training Program After Stroke. aug: au: Hutchinson, Karen Sloutsky, Regina Collimore, Ashley Adams, Benjamin Harris, Brian Ellis, Terry D. Awad, Louis N. affil: Sargent College, Boston University, Boston, MA, USA sug: subj: Stroke Rehabilitation Automation Walking Music Therapy Human Pilot Studies Algorithms Walking Speed Program Development Patient Safety ab: Background: The rhythm of music can entrain neurons in motor cortex by way of direct connections between auditory and motor brain regions. Objective: We sought to automate an individualized and progressive music-based, walking rehabilitation program using real-time sensor data in combination with decision algorithms. Methods: A music-based digital therapeutic was developed to maintain high sound quality while modulating, in real-time, the tempo (ie, beats per minute, or bpm) of music based on a user's ability to entrain to the tempo and progress to faster walking cadences in-sync with the progression of the tempo. Eleven individuals with chronic hemiparesis completed one automated 30-minute training visit. Seven returned for 2 additional visits. Safety, feasibility, and rehabilitative potential (ie, changes in walking speed relative to clinically meaningful change scores) were evaluated. Results: A single, fully automated training visit resulted in increased usual (∆ 0.085 ± 0.027 m/s, P =.011) and fast (∆ 0.093 ± 0.032 m/s, P =.016) walking speeds. The 7 participants who completed additional training visits increased their usual walking speed by 0.12 ± 0.03 m/s after only 3 days of training. Changes in walking speed were highly related to changes in walking cadence (R 2 > 0.70). No trips or falls were noted during training, all users reported that the device helped them walk faster, and 70% indicated that they would use it most or all of the time at home. Conclusions: In this proof-of-concept study, we show that a sensor-automated, progressive, and individualized rhythmic locomotor training program can be implemented safely and effectively to train walking speed after stroke. Music-based digital therapeutics have the potential to facilitate salient, community-based rehabilitation. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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