Applied Sciences | 卷:12 |
Gait Training for Hemiplegic Stroke Patients: Employing an Automatic Neural Development Treatment Trainer with Real Time Detection | |
You-Chi Li1  Chih-Jen Shih1  Fu-Cheng Wang1  Szu-Fu Chen2  Tzu-Tung Lin2  Ang-Chieh Lin2  | |
[1] Department of Mechanical Engineering, National Taiwan University, Taipei 106, Taiwan; | |
[2] Department of Physical Medicine and Rehabilitation, Cheng Hsin General Hospital, Taipei 112, Taiwan; | |
关键词: gait; stroke; rehabilitation; NDT; trainer; inertial measurement unit; | |
DOI : 10.3390/app12052719 | |
来源: DOAJ |
【 摘 要 】
This paper presents a clinical rehabilitation protocol for stroke patients using a movable trainer, which can automatically execute a neurodevelopmental treatment (NDT) intervention based on key gait events. The trainer consists of gait detection and motor control systems. The gait detection system applied recurrent neural networks (RNNs) to recognize important gait events in real time to trigger the motor control system to repeat the NDT intervention. This paper proposes a modified intervention method that simultaneously improves the user’s gait symmetry and pelvic rotation. We recruited ten healthy subjects and had them wear a rehabilitation gaiter on one knee joint to mimic stroke gaits for verification of the effectiveness of the trainer. We used the RNN model and a modified intervention method to increase the trainer’s effectiveness in improving gait symmetry and pelvic rotation. We then invited ten stroke patients to participate in the experiments, and we found improvement in gait symmetry in 80% and 90% of the patients during and after the training, respectively. Similarly, pelvic rotation improved in 80% of the patients during and after the training. These findings confirmed that the movable NDT trainer could improve gait performance for the rehabilitation of stroke patients.
【 授权许可】
Unknown