VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network
Traditional rehabilitation training for stroke patients with ankle joint issues typically relies on the expertise of physicians. However, when confronted with complex challenges, such as online decision-making or assessing rehabilitation progress, even seasoned experts may not anticipate all potenti...
Saved in:
| Main Authors: | Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/21/6998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Clinical predictors for ankle sprain recurrence of amateur volleyball athletes
by: David Costa Mendes, et al.
Published: (2025-03-01) -
Lateral Ankle Sprain: Current Strategies of Management and Rehabilitation Short of Surgery
by: Sidak Dhillon, et al.
Published: (2021-12-01) -
Rehabilitation Assessment and Treatment Two Years after Replantation of Ankle Amputation
by: HUANG Songhua, et al.
Published: (2023-06-01) -
Emotion recognition based on convolutional gated recurrent units with attention
by: Zhu Ye, et al.
Published: (2023-12-01) -
Medical rehabilitation: a study of problems of legal definition. The intersection of the concepts of medical rehabilitation, prevention and treatment
by: E. V. Gameeva, et al.
Published: (2020-09-01)