Smart IoT-Based Wearable Lower-Limb Rehabilitation Assistance System

Yongfu Wang, Boon Giin Lee, Hualian Pei, Xiaoqing Chai, Wan-Young Chung

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

Abstract

Venous Thromboembolism (VTE) is a severe medical condition characterized by the development of blood clots within veins, typically occurring in the deep veins of the legs or as clots that can travel to the lungs. Numerous previous studies have demonstrated the effectiveness of high-dose lower-limb physical therapy in aiding patients’ functional recovery. However, assessing the extent of patient compliance with this practice and achieving satisfactory results have proven challenging, with many issues yet to be resolved before its adoption in clinical practice. This work proposes a smart unobstructive IoT-based wearable lower-limb rehabilitation assistance system that could trace and evaluate user lower-limb rehabilitation activities in real-time manner, in the meantime, simultaneous visual guidance cues are presented through visual displays to guide user completing the rehabilitation tasks, where those tasks are based on the American Academy of Orthopedic Surgeons (AAOS). The preliminary user study presents promising benefits of the system contrasting to the typical unguided rehabilitation training approach in clinical settings.
Original languageEnglish
Title of host publicationIntelligent Human Computer Interaction
Subtitle of host publication15th International Conference, IHCI 2023, Daegu, South Korea, November 8–10, 2023, Revised Selected Papers, Part II
EditorsBong Jun Choi, Dhananjay Singh, Uma Shanker Tiwary, Wan-Young Chung
Place of PublicationCham
PublisherSpringer, Cham
Chapter24
Pages238-243
ISBN (Electronic)9783031538308
ISBN (Print)9783031538292
DOIs
Publication statusPublished - 29 Feb 2024

Publication series

NameLecture Notes in Computer Science
Volumevolume 14532

Keywords

  • Venous Thromboembolism rehabilitation
  • Lower-Limb Training
  • Wearable
  • Internet-of-Thing

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