Репозиторий КазНИТУ

Analysing the Integration of Artificial Intelligence into Rehabilitation Ankle Joint Exoskeletons

Авторы:

N. Zhetenbayev (Соавтор)

A. Uzbekbayev (Соавтор)

A. Sultan (Соавтор)

G. Sergazin (Соавтор)

A. Ayazbay (Соавтор)

Издательство:

International Workshop IFToMM for Sustainable Development Goals

Дата издания

24.05.2025

Область исследования

Инжиниринг и технологии

Тип исследования

Прикладное

Аннотация (краткое описание)

This paper examines the integration of artificial intelligence (AI) in ankle rehabilitation exoskeletons. Special attention is given to modern AI technologies such as machine learning algorithms, adaptive control systems, neural networks, and data analysis, which significantly enhance the effectiveness and personalization of rehabilitation. Exoskeletons equipped with these technologies are capable of more precise motion tracking, adapting treatment in real time, and predicting patient movements, making rehabilitation safer and more comfortable. In addition to a comprehensive review of existing solutions, this study presents an AI-based ankle rehabilitation exoskeleton prototype developed as part of our research. The prototype integrates AI-driven adaptive control methods and sensor-based movement analysis to enhance rehabilitation efficiency.

Соответствие целям устойчивого развития (ЦУР)

Индустриализация, инновации и инфраструктура

URI

https://www.scopus.com/record/display.url?eid=2-s2.0-105006898011&origin=resultslist

DOI

10.1007/978-3-031-91179-8_16

Тип публикаций

Материалы конференции

Сведения о финансировании

This research was funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan within the framework of the program BR24992820.

Данный документ располагается в коллекциях

Международные публикации ученых SU