Paper
8 November 2023 A wearable heart rate monitoring system for the elderly based on self-driven flexible sensors
Shifan Zhao, Mingkai Chen, Lei Shen
Author Affiliations +
Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129231J (2023) https://doi.org/10.1117/12.3011379
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China
Abstract
Flexible sensors are an important research direction in the field of smart wearable devices and human-computer interaction, and friction flexible haptic sensors are the first choice of flexible sensing materials in the field of elderly monitoring due to their high sensitivity, softness and wearability. The purpose of this study is to design a smart wearable system for heart rate monitoring of the elderly based on friction-flexible sensors. The heart rate monitoring is performed by frictional flexible sensors to achieve real-time collection of heart rate of the elderly. In the artificial intelligence dimension, the obtained heart rate data is processed to obtain risk warning and provide personalized health advice. In the software dimension, design an information feedback system that meets the needs of the elderly interface and makes it easy to operate and understand. By providing a comprehensive heart rate monitoring system, it helps the elderly to detect cardiovascular diseases and take appropriate treatment measures in a timely manner. It is expected to provide a reference for research related to improving the quality of life of the elderly and the prevention of cardiovascular diseases.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shifan Zhao, Mingkai Chen, and Lei Shen "A wearable heart rate monitoring system for the elderly based on self-driven flexible sensors", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129231J (8 November 2023); https://doi.org/10.1117/12.3011379
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KEYWORDS
Heart

Sensors

Wearable devices

Design and modelling

Cardiovascular disorders

Engineering

Pulse signals

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