sEMG Based Gait Phase Recognition for Children with Spastic Cerebral Palsy
Related Experiment Video
Updated: Feb 5, 2026
Author Spotlight: Repetitive Transcranial Magnetic Stimulation Combined with Movement Observation in Cerebral Palsy
Published on: August 9, 2024
Peng-Na Wei1,2, Rongfu Xie1, Rongnian Tang3,4,5
1School of Mechanical and Electrical Engineering, The Hainan University, No. 58, People Avenue, Haikou, 570228, People's Republic of China.
Insights
Surface electromyogram (sEMG) analysis effectively recognizes gait phases in children with cerebral palsy (CP). Mean absolute value and zero crossing features achieved 89.40% accuracy, aiding robotic gait training development.
Area of Science:
- Biomedical Engineering
- Rehabilitation Science
- Neuroscience
Background:
- Cerebral palsy (CP) often impairs gait, necessitating effective rehabilitation strategies.
- Accurate gait phase recognition is crucial for developing assistive technologies like robotic training systems.
- Surface electromyogram (sEMG) signals offer a non-invasive method for assessing muscle activity during locomotion.
Purpose of the Study:
- To identify optimal surface electromyogram (sEMG) feature sets for recognizing gait sub-phases in children with cerebral palsy (CP).
- To evaluate the performance of different sEMG feature sets in classifying five distinct gait sub-phases during treadmill walking.
- To inform the development of intention-driven robotic gait training systems for children with CP.
Main Methods:
- Ten children with CP participated, with sEMG from eight leg muscles and leg position signals recorded during treadmill walking.
- A five-gait sub-phase classifier (mid stance, terminal stance, pre-swing, mid swing, terminal swing) was developed using leg position data.
- Seven sEMG feature sets were tested using a support vector machine classifier to determine recognition accuracy.
Main Results:
- The combination of mean absolute value and zero crossing sEMG features yielded the highest average classification accuracy (89.40%) for gait phase recognition.
- Gait phase recognition performance was superior during the pre-swing phase compared to other sub-phases.
- The mid-swing phase exhibited the poorest recognition performance among the identified gait sub-phases.
Conclusions:
- Optimal sEMG feature sets, specifically mean absolute value and zero crossing, can accurately recognize gait phases in children with CP.
- These findings support the potential for developing advanced robotic gait training systems that utilize sEMG feedback for personalized assistance.
- Improved gait phase recognition accuracy can enhance the efficacy of robotic interventions aimed at improving walking function in children with CP.
Abstract:
The goal of this study was to examine the optimal strategies for the recognition of gait phase based on surface electromyogram (sEMG) of leg muscles while children with cerebral palsy (CP) walked on a treadmill. Ten children with CP were recruited to participate in this study. sEMG from eight leg muscles and leg position signals were recorded while subjects walked on a treadmill. The position signals of left and right legs were used to develop a five gait sub-phases classifier, i.e., mid stance, terminal stance, pre-swing, mid swing, and terminal swing. Seven feature sets of sEMG signals were tested in recognizing the five gait sub-phases of children with CP. Results from this study indicated that the recognition performance of mean absolute value and zero crossing was better than that with other feature sets when using support vector machine (average classification accuracy was 89.40%). Further, we found that the performance of gait phase recognition is relatively better in pre-swing than other sub-phases, and the performance of gait phase recognition is relatively poorer in mid-swing than other sub-phases. Results from this study may be used to develop an intention-driven robotic gait training system/paradigm for assisting walking in children with CP through robotic training.
More Related Videos
08:24Author Spotlight: Exploring the Potential of Massage Therapy in Cerebral Palsy Using Animal Models
Published on: August 11, 2023
08:26Event-related Potentials During Target-response Tasks to Study Cognitive Processes of Upper Limb Use in Children with Unilateral Cerebral Palsy
Published on: January 11, 2016
Related Concept Videos
02:53Conservative Site-specific Recombination and Phase Variation
The recognition sites for Cre recombinase called LoxP...
02:39Phase Diagrams
02:31Phase Transitions
01:28Inductance: Single-Phase And Three-Phase Line
Single-Phase Two-Wire Line:
A single-phase line consists of two solid cylindrical conductors, denoted as x and y. Each conductor carries phasor currents ix and iy, respectively. Given that the sum of these currents is...
01:25Capacitance: Single-Phase And Three-Phase Line
Single-Phase Lines
Consider a single-phase, two-wire transmission line with equal phase spacing energized by a voltage source. One conductor carries a uniform positive charge, while the other carries an equal negative charge. The capacitance C of the line can be derived from the voltage V between the conductors. For a one-meter section of the line, the capacitance is given...
01:19Phase Changes
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...