An Interactive Music Synthesizer for Gait Training in Neurorehabilitation

Prithvi Ravi Kantan, Sofia Dahl

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Abstract

Rhythm-based auditory cues have been shown to significantly improve walking performance in patients with numerous neurological conditions. This paper presents the design, implementation and evaluation of a gait training device capable of real-time synthesis and automated manipulation of rhythmic musical stimuli, as well as auditory feedback based on measured walking parameters. The proof-of-concept was evaluated with six healthy partici- pants, as well as through critical review by one neurore- habilitation specialist. Stylistically, the synthesized music was found by participants to be conducive to movement, but not uniformly enjoyable. The gait capture/feedback mechanisms functioned as intended, although discrepan- cies between measured and reference gait parameter values may necessitate a more robust measurement system. The specialist acknowledged the potential of the gait measure- ment and auditory feedback as novel rehabilitation aids, but stressed the need for additional gait measurements, superior feedback responsiveness and greater functional versatility in order to cater to individual patient needs. Further research must address these findings, and tests must be conducted on real patients to ascertain the utility of such a device in the field of neurorehabilitation.
Original languageEnglish
Title of host publicationProceedings of the 16th Sound & Music Computing Conference SMC 2019
PublisherSound and Music Computing Network
Publication date2019
Pages159-166
ISBN (Electronic)978-84-09-08518-7
DOIs
Publication statusPublished - 2019
Event16th Sound and music computing conference - University of Malaga (UMA). , Malaga, Spain
Duration: 28 May 201931 May 2019
http://smc2019.uma.es/index.html

Conference

Conference16th Sound and music computing conference
LocationUniversity of Malaga (UMA).
CountrySpain
CityMalaga
Period28/05/201931/05/2019
Internet address
SeriesProceedings of the Sound and Music Computing Conference
ISSN2518-3672

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    Ravi Kantan, P., & Dahl, S. (2019). An Interactive Music Synthesizer for Gait Training in Neurorehabilitation. In Proceedings of the 16th Sound & Music Computing Conference SMC 2019 (pp. 159-166). Sound and Music Computing Network. Proceedings of the Sound and Music Computing Conference https://doi.org/10.5281/zenodo.3249297