Multi-parameter Features Extraction Of ECG Waveform And Its Application System Development

According to the survey,the number of deaths due to cardiovascular diseases accounts for 1/3 of the total number of deaths every year in the world,ranking the first of various diseases.The results show that some changes in the waveform parameters of Electrocardiogram(such as Heart Rate Variability,T-Wave Alternans,etc.)have a high correlation with the occurrence of sudden cardiac death,and the long-term,continuous real-time ECG monitoring of cardiac patients is a harbinger of arrhythmia or the patient’s family to give timely relief,which can avoid the death of patients with 70%~80%.Aiming at the deficiency of current medical ECG monitoring system,the goal of this thesis is to develop a multi-parameter telemetry monitoring system which is functional,low-power,portable and intelligent.The system proposed in the thesis realizes the real-time collection,processing of ECG,respiration,blood oxygen saturation,attitude and position information.Particularly,the monitor designed is able to exchange data with the hospital monitoring center through the WiFi network.When the patient physiological parameters abnormal or fall when the alarm issued by the patient’s location information to remind the medical staff for timely treatment,to prevent the occurrence of sudden death in patients.The research are carried out mainly on the following three aspects:Firstly,it describes the basic principle in generation of ECG wave from the perspective of physiology,normal and abnormal parameters of ECG components and the ECG lead systems.Aiming at the interference factors encountered in the process of ECG acquisition,a method of median filtering and bandpass filtering to eliminate motion artifacts.Secondly,based on the existing research results of ECG automatic analysis algorithm at domestic and foreign,In this thesis,a novel algorithm of QRS complex detection based on adaptive threshold is proposed,which is based on the theory of differential threshold algorithm.The algorithm has low complexity and is suitable for real-time processing on microprocessor.With the evaluation test MIT-BIH Arrhythmia Database proved,its sensitivity and accuracy for QRS detection reach 99.57% and 99.80%.Thirdly,the mobile physiological multi-parameter telemetry monitoring system is built successfully,and the design of the hardware circuit of the mobile monitoring terminal is completed by sub-modularization.The monitoring terminal comprises a physiological parameter acquisition module including ECG,respiration,blood oxygen saturation,communication and positioning module,fall detection module,power management module,embedded master module and interpersonal interaction module.Based on the hardware design platform,the software design flow of mobile monitoring terminal and the communication protocol with the hospital monitoring center are given.According to the testing results,the multi-parameter telemetry monitoring system developed in this paper can monitor the multi-physiological parameters,real-time diagnosis and abnormal alarm without limiting the normal life of the patients and achieve the expected design requirements,Which will have wide application in clinical.