Author

Abdud Dahian

Advisor

To, S. D. Filip

Committee Member

Wu, Dongfeng

Committee Member

Buddington, K. Randal

Committee Member

Cooper, Robert

Date of Degree

1-1-2006

Document Type

Graduate Thesis - Open Access

Major

Agricultural and Biological Engineering

Degree Name

Master of Science

College

College of Engineering

Department

Department of Agricultural and Biological Engineering

Abstract

Heart rate variability (HRV) analysis has proved to be an important tool for assessing autonomic nervous system. For instance, it has been used during dipyridamole echocardiographic test to differentiate ischemic from nonischemic responses [6]. RR Interval analysis can provide additional information that can lead to early detection of a possible change in the activity of the autonomic nervous system. HRV analysis can be done using Wavelet Transform. This thesis presents a modification of an existing algorithm for extracting the R-R interval from EKG data sets and the use of wavelet transform (WT) technique to compute the timerequency domain energy quantities. The project used data obtained previously from a study of the effects of two pharmacological agents, atropine and propranolol, on laboratory rats. Results showed that the ratio of high frequency energy over the total energy (HF/total) of atropine treated rats was higher than baseline (control).

URI

https://hdl.handle.net/11668/17331

Comments

Rats||HRV||Heart Rate||Pharmacologic||Wavelet Transform

Share

COinS