AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest

There are 2.2 billion visually impaired individuals and 285 million blind people worldwide. The vestibular system plays a fundamental role in the balance of a person related to sight and hearing, and thus blind people require physical therapy to improve their balance. Several clinical tests have bee...

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Vydané v:	PeerJ. Computer science Ročník 11; s. e2695
Hlavní autori:	Jaén-Vargas, Milagros, Pagán, Josué, Li, Shiyang, Trujillo-Guerrero, María Fernanda, Kazemi, Niloufar, Sansò, Alessio, Codina-Casals, Benito, Abi Zeid Daou, Roy, Serrano Olmedo, Jose Javier
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States PeerJ. Ltd 14.03.2025 PeerJ Inc
Predmet:	Algorithms and Analysis of Algorithms Artificial Intelligence Balance Blind Care and treatment Data Mining and Machine Learning IMU Machine learning Methods mini-BESTest Neural Networks OpenSense RT Physical therapy Quaternions Rehabilitation Technology application Therapeutics, Physiological Spain IMU Blind Quaternions mini-BESTest Artificial intelligence Balance OpenSense RT
ISSN:	2376-5992, 2376-5992
On-line prístup:	Získať plný text
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