An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients

An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients

Abstract Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of rehabilitation professionals leads to many patients with severe disabilities. Traditional rehabilitation methods can be time-consuming and hard to measure for progress. This study introduces an...

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Bibliographic Details
Main Authors: Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, Chalermdej Prapinpairoj, Kawee Anannub, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Rehabilitation
Lower limb recovery
Fuzzy logic
K-NN model
MediaPipe pose
Online Access:https://doi.org/10.1038/s41598-025-90031-1
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