Loading...

A new scheme for the development of IMU-based activity recognition systems for telerehabilitation

Nasrabadi, A. M ; Sharif University of Technology | 2022

148 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.medengphy.2022.103876
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Wearable human activity recognition systems (HAR) using inertial measurement units (IMU) play a key role in the development of smart rehabilitation systems. Training of a HAR system with patient data is costly, time-consuming, and difficult for the patients. This study proposes a new scheme for the optimal design of HARs with minimal involvement of the patients. It uses healthy subject data for optimal design for a set of activities used in the rehabilitation of PD1 patients. It maintains its performance for individual PD subjects using a single session data collection and an adaptation procedure. In the optimal design, several classifiers (i.e. NM, k-NN, MLP with RBF as a hidden layer, and multistage RBF SVM) were investigated. Features were signal-based in the time, frequency, and time-frequency domains. Double-stage feature extraction by PCA and fisher technique was used. The optimal design reached a recall of 95% on healthy subjects using only two sensors on the left thigh and forearm. Implementing the adaptation procedure on two PD subjects, the performance was maintained above 80%. Post analysis on the performance of the adapted HAR showed a slight drop in precision (above 87% to above 81%) for activities that was performed in sitting condition. © 2022 IPEM
  6. Keywords:
  7. Classification ; Human activity recognition ; Parkinson's disease ; Tele-rehabilitation ; Hospital data processing ; Nearest neighbor search ; Optimal systems ; Pattern recognition ; Radial basis function networks ; Support vector machines ; Wearable technology ; Activity recognition ; Healthy subjects ; Human activity recognition systems ; Inertial measurements units ; Optimal design ; Performance ; Unit-based ; Patient rehabilitation ; Algorithm ; Electronic device ; Human ; Algorithms ; Human Activities ; Humans ; Telerehabilitation ; Wearable Electronic Devices
  8. Source: Medical Engineering and Physics ; Volume 108 , 2022 ; 13504533 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S1350453322001242