Longitudinal Evaluation of a 30 Day Therapy Treatment of a Hemiplegic Ankle by Applying a Wearable System and Machine Learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00382863" target="_blank" >RIV/68407700:21460/24:00382863 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-62523-7_51" target="_blank" >http://dx.doi.org/10.1007/978-3-031-62523-7_51</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-62523-7_51" target="_blank" >10.1007/978-3-031-62523-7_51</a>

Result language
angličtina
Original language name
Longitudinal Evaluation of a 30 Day Therapy Treatment of a Hemiplegic Ankle by Applying a Wearable System and Machine Learning
Original language description
The amalgamation of wearable systems and machine learning are envisioned to considerably augment the acuity and situational awareness of clinicians for the prescription of a rehabilitation strategy. For example, a therapy regimen for improving the rehabilitation status of a subject’s hemiplegic ankle can be monitored by a wearable system, such as through a smartphone equipped with a software application to function as a wearable and wireless gyroscope platform. Using a machine learning algorithm, such as a support vector machine, various longitudinal phases of the therapy prescription can be differentiated to establish the efficacy of the rehabilitation strategy. Considerable classification accuracy relative to the preliminary first day and final phase of a 30 day longitudinal therapy application has been achieved in conjunction with the application of a smartphone as a wearable system capable of providing a gyroscope signal for subsequent machine learning application through a support vector machine. The implications are for the ability to optimize a rehabilitation strategy from a remote context regarding the clinical team and subject. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Advances in Digital Health and Medical Bioengineering. Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 3: Telemedicine, Biomaterials, Environmental Protection, Medical Imaging, and Biomechanics
ISBN
978-3-031-62523-7
ISSN
1680-0737
e-ISSN
1433-9277
Number of pages
8
Pages from-to
461-468
Publisher name
Springer Nature Switzerland AG
Place of publication
Basel
Event location
Bucuresti
Event date
Nov 9, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001434998400051

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