Real-time heart rate estimation using PVDF flexible piezoelectric sensor based on machine learning

Shijian Luo; Ting Fang; Chong Dong; Jiaming Han

doi:10.1117/12.2688865

18 July 2023 Real-time heart rate estimation using PVDF flexible piezoelectric sensor based on machine learning

Shijian Luo, Ting Fang, Chong Dong, Jiaming Han

Proceedings Volume 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023); 127442G (2023) https://doi.org/10.1117/12.2688865
Event: Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 2023, Nanjing, China

Abstract

To achieve non-invasive, non-contact, and real-time heart rate monitoring, proposed a pulse signal acquisition system using PVDF (Polyvinylidene Fluoride) piezoelectric film. In order to address the issue of errors in heart rate extraction caused by differences in the morphology of pulse signals across individuals or in different states, the K-means clustering algorithm was innovatively used to locate the peak of pulse waveforms in different states and constructed a heart rate data set. Real-time heart rate monitoring by training a large number of pulse signal samples with the proposed CNN-LSTM network model. Experimental results demonstrated that the performance metrics of this model, including the MAE (Mean Absolute Error), RMSE (Root Mean Square Error), and R² (Coefficient of Determination), are 0.2517, 0.3395, and 0.9863, respectively. the maximum error between the proposed system and the standard instrument within three minutes was only 1.55 beats/minute, indicating that the system exhibits high accuracy and reliability, and holds great potential for applications in heart rate detection.

Citation Download Citation

Shijian Luo, Ting Fang, Chong Dong, and Jiaming Han "Real-time heart rate estimation using PVDF flexible piezoelectric sensor based on machine learning", Proc. SPIE 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 127442G (18 July 2023); https://doi.org/10.1117/12.2688865

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KEYWORDS

Heart

Pulse signals

Sensors

Statistical modeling

Data modeling

Feature extraction

Performance modeling

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