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Printed Sensors for Quantifying Electrodermal Activity and Sweat Rate: A Review
Batoul Hosseinzadeh1, Sarah Tonello1, Nicola Francesco Lopomo2
1Department of Information Engineering, University of Brescia, Via Branze, 38, 25123 Brescia, Italy.
Sensors (Basel, Switzerland)
|November 27, 2025
Summary
Printed electronics offer a scalable and low-cost method for creating wearable sensors. These advanced electrodermal activity (EDA) and sweat monitoring devices improve physiological signal quality for personalized health insights.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Sensor Technology
Background:
- Electrodermal activity (EDA) and sweat monitoring (SM) provide valuable neurological health insights.
- Traditional setups are often bulky, limiting their integration into wearable devices.
- Improving the reliability and understanding of EDA signals requires advanced monitoring techniques.
Purpose of the Study:
- To review fabrication techniques, materials, and measurement methods for EDA and sweat monitoring electrodes.
- To highlight the role of printed electronics in developing advanced wearable sensors.
- To explore the potential of printed sensors for continuous, non-invasive health monitoring.
Main Methods:
- Overview of principal techniques for fabricating EDA and sweat monitoring electrodes.
- Analysis of materials and measurement methods used in sensor development.
- Focus on the application of printing technologies for flexible, on-skin sensors.
Main Results:
- Printed electronics enable scalable, low-cost, and customizable fabrication of flexible sensors.
- Wearable sensors using printed electronics enhance adaptability and user comfort.
- These technologies significantly improve physiological signal quality for health monitoring.
Conclusions:
- Printed electronics are a key enabler for advanced wearable health monitoring devices.
- The integration of printed sensors enhances the reliability and personalization of health insights.
- This approach opens new opportunities for continuous, non-invasive physiological monitoring.
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