In this work, we present the research carried out within the STEX (“Smart TEXtiles for monitoring muscle activity”) project, aimed at the development of wearable non-invasive sensors for real-time monitoring of m iuscle activity. The project's activities performednvolved the design, fabrication, characterization and validation of two different sensors: (i) piezoresistive textile-based strain sensors for the detection of the breathing rate (BR) and (ii) flexible electrolyte-gated carbon nanotube field-effect transistor (EG-CNTFET)-based sensors for NH+4 detection in sweat. The piezoresistive textile-based strain sensors proved able to follow the chest movements during quiet breathing with a sensitivity of 22±2% , while a preliminary pilot study confirmed the possibility of using them to estimate the breath-by-breath BR during cycling activity. The EG-CNTFET-based NH+4 sensors showed a linear detection range for ammonium from 0.01 to 10 mM in artificial sweat, which covers the entire range of physiological concentrations of interest, with average sensitivities of 0.346 μA/decade and 96.94% coefficient of determination.

Wearable Sensors for Non-Invasive Sport Monitoring: An Overview of the STEX Project

Pogliaghi, Silvia;Ferrari, Luca;Bochicchio, Gianluca;
2023-01-01

Abstract

In this work, we present the research carried out within the STEX (“Smart TEXtiles for monitoring muscle activity”) project, aimed at the development of wearable non-invasive sensors for real-time monitoring of m iuscle activity. The project's activities performednvolved the design, fabrication, characterization and validation of two different sensors: (i) piezoresistive textile-based strain sensors for the detection of the breathing rate (BR) and (ii) flexible electrolyte-gated carbon nanotube field-effect transistor (EG-CNTFET)-based sensors for NH+4 detection in sweat. The piezoresistive textile-based strain sensors proved able to follow the chest movements during quiet breathing with a sensitivity of 22±2% , while a preliminary pilot study confirmed the possibility of using them to estimate the breath-by-breath BR during cycling activity. The EG-CNTFET-based NH+4 sensors showed a linear detection range for ammonium from 0.01 to 10 mM in artificial sweat, which covers the entire range of physiological concentrations of interest, with average sensitivities of 0.346 μA/decade and 96.94% coefficient of determination.
2023
9798350332094
Flexible electronics; Muscle monitoring; Breathing rate; Electrolyte-gated transistors; Sweat ammonium
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1116984
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