05092343 is referenced by 159 patents and cites 4 patents.

A waveform analysis assembly (10) includes a sensor (12) for detecting physiological electrical and mechanical signals produced by the body. An extraction neural network (22, 22') will learn a repetitive waveform of the electrical signal, store the waveform in memory (18), extract the waveform from the electrical signal, store the location times of occurrences of the waveform, and subtract the waveform from the electrical signal. Each significantly different waveform in the electrical signal is learned and extracted. A single or multilayer layer neural network (22, 22') accomplishes the learning and extraction with either multiple passes over the electrical signal or accomplishes the learning and extraction of all waveforms in a single pass over the electrical signal. A reducer (20) receives the stored waveforms and times and reduces them into features characterizing the waveforms. A classifier neural network (36) analyzes the features by classifying them through nonliner mapping techniques within the network representing diseased states and produces results of diseased states based on learned features of the normal and patient groups.

Title
Waveform analysis apparatus and method using neural network techniques
Application Number
157324
Publication Number
5092343
Application Date
November 17, 1989
Publication Date
March 3, 1992
Inventor
Mohamad Hassoun
Dearborn
MI, US
Robert Spitzer
W. Bloomfield
MI, US
Agent
Reising Ethington Barnard Perry & Milton
Assignee
Wayne State University
MI, US
IPC
A61B 5/05
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