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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items