E-Textile Garment Simulation to Improve ECG Data Quality

Achieving accurate fit and body contact pressure is one of the key issues in designing e-textiles such as electrocardiogram (ECG) sensing garments, in which ECG signal quality is dependent on the contact pressure of the electrodes on the skin. While this is a known mechanism, few strategies exist fo...

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Bibliographic Details
Published in2022 IEEE 16th International Symposium on Medical Information and Communication Technology (ISMICT) pp. 1 - 6
Main Authors Knowles, Caitlin G., Sennik, Busra, Ju, Beomjun, Noon, Marissa, Mills, Amanda C., Jur, Jesse S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 02.05.2022
Subjects
3D simulation
Data integrity
dry electrode
E-Textiles
Electrocardiography
Electrodes
Fabrics
screen printing
Solid modeling
Three-dimensional displays
wearable electronics
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Summary:Achieving accurate fit and body contact pressure is one of the key issues in designing e-textiles such as electrocardiogram (ECG) sensing garments, in which ECG signal quality is dependent on the contact pressure of the electrodes on the skin. While this is a known mechanism, few strategies exist for predictive design as fabrics' body contact pressure response with strain is unique to the fabric's composition and structure. In this work, we propose a technique using 3D garment simulation to predict the body contact pressure of an ECG armband with screen printed Ag/AgCl electrodes. The contact pressure response with strain is evaluated for seven different polyester-spandex jersey knit fabrics. The effects of strain on the signal to noise ratio (SNR) and average R-peak height are measured for armbands of two different fabrics and five sizes. This technique shows potential to improve ECG data quality and shorten the prototyping process for compressive e-textile garments.
ISSN:2326-8301
DOI:10.1109/ISMICT56646.2022.9828269