Old people biological signal health monitoring method based on LSTM model

Abstract

The invention discloses an old people biological signal health monitoring method based on an LSTM model, and the method employs an LSTM deep learning model which is related to a time sequence and has a better solution for the problems of gradient disappearance and gradient explosion in a long-sequence training process. Multi-dimensional biological signals collected by Internet of Things equipment from old people at different time intervals are used as model original data, and the model original data are input into an LSTM model after data preprocessing regularization, so that a relationship is established from a time dimension and different biological signal data dimensions. Health data in the past time and different biological signal data are used as standards for judging whether the human body is healthy or not, so that a better health condition monitoring effect is obtained. Meanwhile, a parameter debugging method in the model is provided on the basis of monitoring accuracy, and parameter values capable of being directly applied in the model are determined through experimental debugging.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence smart elderly care, and in particular relates to an LSTM model-based biological signal health monitoring method for the elderly. [0002] technical background [0003] With the increasing pressure of life, more and more people have sub-health or even chronic diseases, and the health problems of the elderly are especially concerned by people. [0004] At present, most of the health monitoring tools only monitor and display various health parameters of the current user in real time locally, or transmit the data to the mobile client via Bluetooth for display, without intelligent analysis and abnormal reminders. Although IoT and artificial intelligence have been widely used in health fields such as biosignals, there are few methods of using deep learning technology for personalized biosignal analysis and health monitoring of the elderly. [0005] As a deep learning model, LSTM is a spe...

AI Technical Summary

Problems solved by technology

Although IoT and artificial intelligence have been widely used in health fields such as biosignals, there are few methods of using deep learning technology for personalized biosignal analysis and health monitoring of the elderly.

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