Paper Info
Title
Compressive asynchronous decomposition of heart sounds
Abstract
Because of the need to control power consumption, in many biomedical applications asynchronous processing of the data is more appropriate. In this paper, we present a scale-based decomposition algorithm for analog signals similar to the wavelet decomposition. Our procedure uses asynchronous sigma delta modulators (ASDMs) to represent the amplitude of a signal using the zero-crossing times of a binary signal. Changing the zero-crossing times into random sequences of pulse widths, it can be shown to be equivalent to an optimal level-crossing sampler using local averages as the quantization levels. Applying the generation of multi-level signals from the output of ASDMs for different scale parameters we are able to obtain a decomposer that in a few stages provides a close representation of the signal. To illustrate the performance of the proposed decomposition, we consider its application to the representation of heart sounds.
Year
DOI
Venue
2012
10.1109/SSP.2012.6319808
Statistical Signal Processing Workshop
Keywords
Field
DocType
medical signal processing,signal representation,ASDM,asynchronous sigma delta modulators,biomedical applications asynchronous processing,compressive asynchronous decomposition,heart sounds,multilevel signals generation,optimal level-crossing sampler,power consumption,scale-based decomposition algorithm,signal representation,zero-crossing times,Asynchronous signal processing,continuous time digital signal processing,level-crossing sampling,time-encoding
Asynchronous communication,Computer science,Algorithm,Real-time computing,Delta-sigma modulation,Modulation,Pulse (signal processing),Analog signal,Quantization (signal processing),Amplitude,Heart sounds
Conference
ISSN
ISBN
Citations 
pending E-ISBN : 978-1-4673-0181-7
978-1-4673-0181-7
2
PageRank 
References 
Authors
0.39
3
4
Name
Order
Citations
PageRank
Azime Can120.39
Ervin Sejdic214625.55
Osama A. Alkishriwo3163.66
Luis F. Chaparro47013.77