Monitoring of pulse signals with flexible paper-based graphene sensor

Mingzhe Wang; Jieyuan Zou; Siyuan Zeng; Yanqing Feng; Yang Shen; Yong You

doi:10.1117/12.3005132

20 October 2023 Monitoring of pulse signals with flexible paper-based graphene sensor

Mingzhe Wang, Jieyuan Zou, Siyuan Zeng, Yanqing Feng, Yang Shen, Yong You

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 129161P (2023) https://doi.org/10.1117/12.3005132
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

Wearable flexible sensors are being increasingly designed for monitoring human health states. In this study, we optimized the preparation process of paper-based graphene and designed amplifier filter circuit to sense weak pulse signals with high sensitivity (0~300Pa) and fast response time (<1ms). We further used a convolutional neural network (CNN) as the recognition method to analyze the collected pulse signals. We successfully achieved the recognition and classification of three signals (Cun, guan, chi, and Sport) with an accuracy of 85.79% in the training set and an accuracy of 80% in the testing set. Our research offers new possibilities for the wide application of paper-based graphene sensors in medical diagnosis and health monitoring.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingzhe Wang, Jieyuan Zou, Siyuan Zeng, Yanqing Feng, Yang Shen, and Yong You "Monitoring of pulse signals with flexible paper-based graphene sensor", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 129161P (20 October 2023); https://doi.org/10.1117/12.3005132

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