Multichannel ECG recording from waist using textile sensors

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Cardiovascular Monitoring

Background:

• Wearable health monitoring systems offer continuous, non-invasive tracking of physiological markers.
• Electrocardiogram (ECG) monitoring is crucial for cardiovascular disease detection.
• Current wearable solutions often lack multi-location sensing, limiting data reliability.

Purpose of the Study:

• To develop a textile-based multichannel ECG band for waist-based heart monitoring.
• To enable reliable ECG signal acquisition from multiple locations on the body.
• To enhance R-peak detection accuracy in noisy wearable data.

Main Methods:

• Development of a textile-based multichannel ECG band for waist placement.
• Utilizing a probabilistic approach with prediction and update strategies for R-peak detection.
• Employing an optimal search method based on historical R-peak intervals.

Main Results:

• Demonstrated reliable ECG signal acquisition from multiple waist locations, comparable to chest recordings.
• Achieved significantly improved R-peak detection accuracy using the proposed probabilistic method over traditional techniques.
• Validated performance across various user statuses including sitting, standing, and jogging.

Conclusions:

• A functional textile-based multichannel ECG band was successfully developed for waist-based heart rate tracking.
• The proposed probabilistic approach enhances the accuracy of R-peak detection from textile ECG sensors.
• The developed band supports sensor fusion for pervasive, non-invasive health monitoring and has commercialization potential for daily garment integration.