Authors:
Maria Rizzi
;
Matteo D’Aloia
and
Beniamino Castagnolo
Affiliation:
Politecnico di Bari, Italy
Keyword(s):
ICG, C point detection, wavelet transform, parallel filter banks, time frequency analysis, signal processing, parallel computing
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Wavelet Transform
Abstract:
Impedance Cardiography is a cost-effective, non-invasive technique particularly useful in measuring cardiac functions. It evaluates systolic time intervals and stroke volume measuring thorax bioimpedance. In this paper, adopting the time-frequency analysis method, a new design has been developed to study the first derivative of impedance cardiography signal. The application of parallel wavelet filter banks has been investigated and a new method for ICG signal characteristic point detection has been developed. Test results show the improvement of the method in sensitivity and the feasibility of an easy implementation by design tools. Moreover, the algorithm noise immunity has been investigated.