基于阈值的报警和通过设置生理参数正常值范围实现报警都是基于生理信号的普遍性来讲的,并不能突出个人的身体特征。本文利用BP神经网络实现生理信号异常预警,细微学习个人生理信号参数,在普遍的基础上更突出个人身体特征。实验仿真结果表明,利用BP神经网络可以实现生理信号异常的预警。 Threshold-based alarms and alarms by setting the normal range of physiological parameters are based on the prevalence of the physiological signal and do not highlight the individual’s physical characteristics. In this paper, BP neural network is used to realize early warning of abnormal physiological signals and to study personal physiological signal parameters in detail. Experimental results show that the use of BP neural network can be physiological signal anomaly early warning.