Online recognition method for walking patterns of intelligent knee prostheses based on CNN-LSTM algorithm
Journal Title: Progress in Medical Devices - Year 2024, Vol 2, Issue 4
Abstract
To enhance the adaptive learning, self-organization, and fault tolerance capabilities of gait pattern recognition in intelligent knee prostheses, an online walking pattern recognition method based on the convolutional neural networks (CNN)-long short term memory (LSTM) model is proposed. Five test subjects wore the intelligent knee prostheses and performed four walking modes: level walking, uphill walking, downhill walking, and stair descent. The preprocessed gait data were fed into four neural network models: CNN, LSTM, CNN-LSTM, and CNN-bidirectional LSTM. Through hyperparameter tuning, the recognition accuracy of these models was compared. Real-time indicator, gait recognition delay, was also measured. Experimental results showed each model had its strengths and weaknesses. Overall, the CNN-LSTM model achieved the best recognition performance with accuracy rates of: level walking 89%±2.5%, uphill 72.8%±3.2%, downhill 71%±3.2%, and stair descent 96%±2.5%. When switching from level walking to downhill, gait recognition delay was 51.7%±15.6%, and vice versa it was 75.8%±11.5%; when switching from level walking to stair descent, gait recognition delay was 47.1%±17.1%, and vice versa it was 38.6%±10.5%. In summary, the application of the CNN-LSTM model for walking pattern recognition in unilateral intelligent knee prostheses is feasible, with accuracy and real-time performance meeting the control requirements of the prostheses.
Authors and Affiliations
Yibin Zhang, Yan Wang, Hongliu Yu
Keywords
Related Articles
- EP ID EP754633
- DOI 10.61189/961030gznunx
- Views 1
- Downloads 0
A method for identifying pleural lines in B-mode ultrasound images
In ultrasound imaging, the pleura is visualized as echo reflection formed by the echoes of the interface between the pleura and the lung surface. Three major signs of pleura determines whether the patient has pneumothora...
Analysis and modeling of forced-damped vibrations and their applications in medicine
Forced-damped vibrations are pivotal in various medical applications, significantly contributing to the examination of tissue mechanical properties, development of medical devices, and understanding of biological systems...
Impact of tissue-electrode contact force on irreversible electroporation for atrial fibrillation in potato models
Background: Irreversible electroporation (IRE) is an emerging tissue ablation technique that offers advantages over traditional catheter ablation, such as minimal thermal damage and reduced treatment time. However, as th...
Progress on Kirschner wire insertion techniques for patellar fractures
Tension band wiring has been widely used in patellar fracture internal fixation. However, Kirschner wires (K-wires) insertion is time-consuming, because it requires multiple intraoperative fluoroscopies to adjust the ins...
A comprehensive review of spike sorting algorithms in neuroscience
Spike sorting plays a pivotal role in neuroscience, serving as a crucial step of separating electrical signals recorded from multiple neurons to further analyze neuronal interactions. This process involves separating ele...