Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition

Area of Science:

• Biomedical Engineering
• Textile Science
• Rehabilitation Technology

Background:

• Surface electromyography (sEMG) is crucial for prosthetics, diagnostics, and rehabilitation.
• Conventional Ag/AgCl electrodes are limited for long-term sEMG monitoring.
• Need for durable and comfortable sEMG sensing solutions.

Purpose of the Study:

• To design and evaluate a novel smart textile band for integrated sEMG acquisition.
• To compare the performance of knitted textile electrodes against traditional Ag/AgCl electrodes.
• To assess the suitability of the textile band for real-time myoelectric pattern recognition.

Main Methods:

• Development of a smart textile band with intarsia-knitted electrical tracks and textile electrodes.
• Real-time myoelectric pattern recognition for motor volition analysis.
• Comparison of signal-to-noise ratio (SNR) between textile and Ag/AgCl electrodes.

Main Results:

• The smart textile band exhibited comparable performance to Ag/AgCl electrodes.
• No significant differences were observed in SNR between the two electrode types.
• Prediction accuracy from pattern recognition classifiers was similar for both textile and Ag/AgCl electrodes.

Conclusions:

• The integrated smart textile band is a promising alternative for long-term sEMG applications.
• Textile electrodes offer comparable sensing performance to Ag/AgCl electrodes.
• This technology advances wearable solutions for neuromuscular monitoring and rehabilitation.