Pregnancy pulse recognition based on one-dimensional convolutional neural network

Peng Wang; Yang-ming He

doi:10.1117/12.3031790

18 July 2024 Pregnancy pulse recognition based on one-dimensional convolutional neural network

Peng Wang, Yang-ming He

Proceedings Volume 13179, International Conference on Optics and Machine Vision (ICOMV 2024); 131790N (2024) https://doi.org/10.1117/12.3031790
Event: International Conference on Optics and Machine Vision (ICOMV 2024), 2024, Nanchang, China

Abstract

The HKG-07C infrared pulse sensor is used to sample pulse signals. Remove the main ascending segment of the pulse signal, and extract the main descending trend segment of the pulse signal. Use the least squares method to perform polynomial fitting on the extracted signal. First extracting four features, including the mean and variance of the fitting error, and the sum of the maximum and minimum of ten data points whose absolute values are taken. Then perform a differential operation on the fitting error, and extract the four features of the difference, including the mean and variance of the differential data, and the sum of the maximum and minimum ten absolute values of the differential data. Construct a one-dimensional convolutional neural network.Train and test the network using the extracted eight features. The experimental results show that the accuracy of this pregnancy pulse recognition method reaches over 85%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peng Wang and Yang-ming He "Pregnancy pulse recognition based on one-dimensional convolutional neural network", Proc. SPIE 13179, International Conference on Optics and Machine Vision (ICOMV 2024), 131790N (18 July 2024); https://doi.org/10.1117/12.3031790

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