Title :
Analysis and classification of biostochastic signals in amplitude domain
Author :
Majumder, Anup K. ; Bhattacharya, Sakti P.
Author_Institution :
Dept. of Electron. & Tele-Communication Eng., Jadavpur Univ., Calcutta, India
Abstract :
A method of analysis and automatic classification of the biostochastic signal is reported. It is based on the amplitude-domain characteristics of the signal. Two deterministic feature vectors are defined and then computed using a statistical algorithm. The classification is performed by matching these two features of the unknown signal with those of the known templates. The decision criterion has been determined and confirmed experimentally. This work suggests that the method of analysis has potential as a microcomputer-based diagnostic assist device for EEG, EMG, and auscultatory signals.<>
Keywords :
biomedical measurement; computerised signal processing; stochastic processes; waveform analysis; EEG; EMG; amplitude-domain characteristics; auscultatory signals; automatic classification; biostochastic signals; deterministic feature vectors; microcomputer-based diagnostic assist device; signal analysis; signal templates;
Conference_Titel :
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-0785-2
DOI :
10.1109/IEMBS.1988.94876
