Bioinspired Wearable Pulse Sensors for Ambulant Cardiovascular Monitoring and Biometric Authentication

Abstract

The measurement accuracy of current wearable pulse sensors is grandly challenged by motion artifacts caused by body biomechanical activities. In this study, a honeycomb-structure-inspired wearable pulse sensor is reported which not only performs ambulant cardiovascular monitoring but also realizes biometric authentication utilizing the acquired individual pulse wave profiles. The sensor showcases an impressive sensitivity of 46.2 mV Pa−1, a swift response time of 21 ms, and exceptional durability (minimal degradation after 6000 cycles). For practical application in clinical settings, the sensor is able to record pulse signals continuously and accurately from individuals aged between 27 and 57 years, especially including a 29-year-old pregnant woman. Leveraging deep learning algorithms, the sensor further utilizes individual pulse wave profiles for biometric authentication, reaching a classification accuracy of up to 99.4%. The honeycomb-structure-inspired wearable pulse sensor marks a significant advancement in the field of practical cardiovascular monitoring and biometric authentication.