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Postural-Change Detection Before and After Hemodialysis Using MediaPipe

Authors:
Yasutaka Uchida
Kazuyoshi Hori
Ren Kondo
Satosh Kidooka
Sayuri Sugaya
Tomoya Iizuka

Keywords: hemodialysis; postural-change detection; MediaPipe; joint-angle estimation, computer vision; fall-risk assessment; lightweight measurement method

Abstract:
This study aimed to evaluate changes in physical condition before and after hemodialysis using estimated joint angles in hemodialysis patients. The flexion angles of the elbow, knee, and hip joints were analyzed from captured images to assess potential changes in posture and motor control. The results indicated that the flexion angles increased or decreased depending on the subject, suggesting that hemodialysis may influence balance and muscle tone. However, limitations were noted in the accuracy of angle estimation due to the static posture during measurement and oblique camera positioning. Despite these constraints, the proposed method offers a simple approach for detecting physical changes associated with hemodialysis, indicating its potential for fall-risk assessment and real-time monitoring during hemodialysis sessions.

Pages: 24 to 29

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-68558-294-4

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025