Journal
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Volume 25, Issue 1, Pages 59-68Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2020.2989747
Keywords
Electromyography; Muscles; Iron; Foot; Electrical stimulation; Real-time systems; Angular velocity; Functional electrical stimulation; foot drop; tibialis anterior; electromyography; threshold value; saturation value
Categories
Funding
- National Natural Science Foundation of China [61773124]
- National Key Research and Development Program of China [2016YFE0122700]
- UK-China Industry Academia Partnership Programme [276]
- Dixon Translational Research Grants Initiative from Northwestern Medicine
Ask authors/readers for more resources
This study proposes a closed-loop scheme for adaptive EMG-modulated stimulation profile, successfully inducing dorsiflexion of the ankle joint and generating an activation pattern similar to a natural gait.
Functional electrical stimulation (FES) provides an effective way for foot drop (FD) correction. To overcome the redundant and blind stimulation problems in the state-of-the-art methods, this study proposes a closed-loop scheme for an adaptive electromyography (EMG)-modulated stimulation profile. The developed method detects real-time angular velocity during walking. It provides feedbacks to a long short-term memory (LSTM) neural network for predicting synchronous tibialis anterior (TA) EMG. Based on the prediction, it modulates the stimulation intensity, taking into account of the subject-specific dead zone and saturation of the electrically evoked activation. The proposed method is tested on ten able-bodied participants and six FD subjects as proof of concept. The experimental results show that the proposed method can successfully induce the dorsiflexion of the ankle joint, and generate an activation pattern similar to a natural gait, with the mean Correlation Coefficient of 0.9021. Thus, the proposed method has the potential to help patients to retrieve normal gait.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available