Comparison Study of Time- and Frequency-Domain HRV for Healthy and Illness People

• Main Authors: Liao, Yan Ching, 廖燕清
• Other Authors: Chang, Ching-Haur
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/21723093466242125495

碩士 === 亞洲大學 === 光電與通訊學系碩士在職專班 === 101 === With the fast growing of technology and wide popularity of computers, new information has been spread more quickly and working efficiency and quality have been improved accordingly. However, the change of working environment not only leads to high work pressure but also influences dietary habits, both of which further give rise to the high occurrence of heart-related diseases. Therefore, how to beforehand detect heart diseases effectively and accurately is a crucial technique. Among these techniques, using an ECG to detect heart diseases is most widely employed. ECG is the best way used to measure the rate and regularity of heartbeats, as well as the size and position of the chambers, the presence of any damage to the heart, and the effects of drugs or devices used to regulate the heart, such as a pacemaker. Recently, many studies have focused on the connection between disease and heart rate variability. Quo and Chen (1997) indicated that HRV is an easy way to distinguish the sympathetic and parasympathetic nervous activity, which can serve as an approach to evaluate the heat and automatic nerve. Besides, Kleiger pointed out that the use of SDNN can predict the death after myocardial infarction. Bases on this perspective, the data of SDNN, MeanB, MeanHR, SDHR, RMSSD, NNx, pNNx and SDNNi on the SPSS may be possibly adopted to find out whether there is significance between being healthy or non-healthy. This research first retrieve two sets of data (Normal Sinus rhythm R-R intervals and MIT-BIH Arrhythmia Database) from the PhysioBank. Second, the data of R-R interval from ECG is analyzed by HRVAS_ v1.0.0. Further, the t-test is conducted with SPSS to examine the four groups based on gender and health condition. The statistic results indicated that there is significance in MeanB, MeanHR, RMSSD, NNx , pNNx ,Lomb-Scargle PSD,Burg PSD,Welch PSD,Power(n.u.)-LF and Power(n.u.)-HF. But, the significance is only shown in frequency-domain between healthy males and healthy females while no significance was found between sick males and sick females.