Anxiety Prediction Based on Finger Pulse Wave Signal and Convolutional Neural Network

Jianliang Gan, Junsheng Yu
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Abstract

One of the key elements of Traditional Chinese Medicine (TCM) is the pulse wave diagnosis technique, and the pulse wave signal contains a variety of physiological information. A deep learning model was used in this study to train and predict 500 pieces of pulse wave data from adult males during the novel coronavirus epidemic, and it was able to do so with a prediction accuracy of over 70%.
基于手指脉冲波信号和卷积神经网络的焦虑预测
脉波诊断技术是中医的核心技术之一,脉波信号包含多种生理信息。本研究采用深度学习模型,对新冠肺炎疫情期间500条成年男性脉搏波数据进行训练和预测,预测准确率超过70%。
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