Physiological Parameters Monitoring System Based On ECG Identification

With the rapid development of the new generation IOT(Internet of Things)technology,smart phones as the representative of the mobile terminal devices are becoming more and more popular in people’s life.Especially in the circumstance of the aging population and the fast speed life,home health monitoring is attracting increasing attention.Temperature,blood oxygen saturation and ECG are considered as body’s basic signals.Although many physiological parameters measuring systems exit on the market,like household oximeters and ECG machines,there are some drawbacks in safety and reliability since it is not effective to avoid fraudulent use and cross misuse.As an internal signal of human body with uniqueness,high safety and unforgeability,ECG can be widely applied in clinical practice and provide a reliable theoretical basis for identification.Therefore,an ECG-based identity identification home monitoring system of multiple physiological parameters can gain a promising market value and a good development prospect.An ECG-based identity identification home monitoring system is proposed in this paper,which can identify user’s identification in oximetry system by ECG feature extraction and recognition.Firstly,a physiological parameter processing terminal based on the low power microcontroller MSP430F5438 is designed.It completes the multi-parameters acquisition and transmission,and monitors temperature,oxygen and other physiological parameters.Secondly,it can analyze ECG signal and identify user’s identification through preprocessing,feature extraction and time-frequency feature level fusion.Finally,the mobile application software is designed,which can process cloud data.The main research contents of this paper are summarized as follows:(1)The oxygen,temperature monitoring and ECG identification research situation at home and broad is introduced,which can provide basic knowledge for ECG in home monitoring system..(2)The collection terminal including oxygen saturation,body temperature,ECG and other signals is designed.The terminal includes power management circuitry,MCU control circuit,temperature measurement circuit,ECG measurement circuit,blood oxygen measurement circuit,filter circuit,the alarm circuit,NFC tags and radio transmission circuit.It achieves non-invasive blood oxygen saturation measurement,non-contact infrared temperature measurement,ECG measurement and coordination of multi-parameters transfer functions by using main chip module to control each circuit.(3)A algorithm about ECG identification based on time-frequency feature level fusion is proposed.The algorithm preprocesses the ECG signal including de-nosing,R peak detection,segmentation and normalization;Additionally,a method of autorelation and wavelet transform is applied to process the preprocessed ECG respectively,followed by the extraction of the corresponding time domain and frequency domain characteristics via discrete cosine transforming;Finally,time-frequency feature level fusion is sent to the nearest neighbor classifier for completing user’s identification.(4)The application program on smartphone is designed.The application mainly consists of wireless transmission connection,new user’s registration,user’s authentication,parameter monitoring,data processing and system management functions,completion of the measurement data management in the cloud server through the database management system MySQL.Physiological parameters monitoring system based ECG identity identification is completed in this paper,which can provide an effective and reliable method for identifying user’s identification in home health care system.