DocumentCode
2690897
Title
A Lossless Characteristic Compression Method for Continuous Arterial Pulse Waveforms
Author
Lin, Albert C -Y ; Huang, Huang-Nan ; Lin, Tzu-Min ; Hsu, Pin-Huang ; Yen, Ching-Chi
Author_Institution
Dept. of Autom. Control Eng., Feng Chia Univ., Taichung, Taiwan
fYear
2012
fDate
7-9 July 2012
Firstpage
9
Lastpage
12
Abstract
Arterial blood pressure is one of the important biomedical waveforms that possess lots of important clinical and pathological information. This paper aims in designing a technique, which is called characteristic compression method, to perform almost loss less data compression for the continuous arterial blood pressure waveforms. This method uses the spline function to interpolate the original waveform at preselected sample points first. A fourth order spline function is considered with associated formulas in describing the coefficients of the function. A second stage compression is accompanied by using 12-bit digital data representation to store sample points and coefficients for each interval. Numerical simulation confirms that the proposed technique is feasible and does provide a very high compression rate and almost loss less reconstruction for the continuous arterial pulse wave.
Keywords
blood vessels; data compression; interpolation; medical signal processing; splines (mathematics); waveform analysis; 12-bit digital data representation; arterial blood pressure waveform; biomedical waveform; clinical information; compression rate; continuous arterial pulse waveform; lossless characteristic compression method; lossless data compression; lossless reconstruction; pathological information; spline function; Biomedical monitoring; Blood pressure; Data compression; Diseases; Electrocardiography; Monitoring; Splines (mathematics); blood pressure; jerk; pulse wave; sample point; spline interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4673-2033-7
Type
conf
DOI
10.1109/CMCSN.2012.3
Filename
6245803
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