Research And Implementation On QRS Detection And Statistics Analysis Of Ambulatory Electrocardiogragh

The heart cerebral disease has highly occured in recent years,the number of heart disease suffers has been increasing year by year,as a result,the heart cerebral disease has endangered our people seriously. In modern iatrology,ECG has become the most used method for a doctor to diagnose heart paroxysm. Holter Monitor can provide full-day custody ,this helps to capture earlier or potential ECG information of heart disease. With the function of long time record and analysis,the portable instrument of electrocardiogragh detection can provide out-hospital heart disease custody and periodical check-up.This thesis mainly dicussed the QRS detection of AECG ,analysize and design the QRS detection and disease statistics,solve solution is given and disease reulst is got finally.This thesis's main content is as follows:1.introduce the function and purpose of holter,the feasibility and designbility of the development of the holter is given,backgroud is introduced as well.2.introduce the basic knowledge and theroies of electrocardiogragh,holter technology is presented.3.summarize the algorithm of QRS detection of ECG,the related technology is introduced such as GDI+ and pattern recognition.4.design the architecture of QRS detection and disease statistics,introcude and analyze the algorithm of QRS detection,design the flow of disease recognition,every heart disease algorithm is presented.5.finally, use the MIT-BIH arrhythmia database to evaluate our work.the experiment results of disease statistics are given.This thesis provide upper moniter support above the "portable instrument of AECG prewarning and detection" of Insigma Health,the software can carry out QRS detection of AECG,the parameter modification of terminal equipment,disease statistics of ECG.As a reulst,we achieve to verify the algorithm and equipment.