Research On System And Technology For Uterine Contraction Monitoring Based On Electromyography

At present,Tocodynamometer(TOCO)and Intrauterine pressure catheter(IUPC)are two uterine contraction monitoring methods used in perinatal.However,neither of them can meet the requirement of detecting non-invasively and high accuracy at the same time.So in order to improve the accuracy and comfort of uterine contraction monitoring under non-invasive detection,we focus on the research on system and technology for uterine contraction monitoring based on electrohysterography(EHG).In this thesis,we firstly analyse the correspondence between uterine mechanical contraction and the excitation,propagation of myometrial electrical activity,which proves the feasibility of EHG for the monitoring of uterine contraction.As for the setting of system,parameter setting,input lead and electrodes arrangement are chosen to obtain the satisfactory EHG signal.Finally,an improved wavelet threshold method is proposed to remove to maternal electrocardiogram(MECG)signal from the EHG.According to the fact that the existing methods have limitations on removing the impulse noise superimposing on EHG and real-time IEMG extraction,an improved Teager energy algorithm based on segmentation filtering is presented.In the proposed method,the raw EHG signal is firstly divided into burst segmentation and non-burst segmentation based on zero-crossing detecting method,then filtered using different filtering methods to remove the impulse noise.Finally,Teager energy method is employed to extract the IEMG signal.In order to evaluate the feasibility that EHG replace the traditional methods for the monitoring of uterine contraction,The tracings of IEMG,IUPC and TOCO were used.Firstly,the uterine contraction baselines of three tracings were obtained by the proposed uterine contraction baseline estimation algorithm.On the basis of uterine contraction baseline,we can obtain the number of uterine contraction,the starting point of contractions,the end point of contractions and the duration of each uterine contraction.After evaluating the consistence of IEMG versus TOCO,by comparing both to the result of IUPC,the result showed that IEMG could achieve a higherconsistency with IUPC than TOCO.Research on system of uterine contraction monitoring.The uterine contraction monitoring system is based on GUI platform,the intensity of Electromyography extraction method proposed in this thesis is integrated into the system to extract IEMG from EHG signal.Based on the uterine baseline algorithm proposed in this paper,the frequency,duration of uterine contraction and other contraction parameters are obtained.Combined the clinical diagnostic criteria of uterine contraction with the parameters of uterine contraction,the condition of uterine contraction was obtained,thus assisting the medical staff for clinical diagnosis.