Physiologic waveform analysis

Details Physiologic waveform analysis Physiologic waveform analysis

A - Human Necessities

61

B

354/141, 326/12.

A61B 5/05 (2006.01) G06F 15/18 (2006.01) G06F 17/00 (2006.01) G06F 19/00 (2006.01) G06N 3/04 (2006.01)

Patent

CA 1323662

PHYSIOLOGIC WAVEFORM ANALYSIS ABSTRACT OF THE DISCLOSURE 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) will learn a repetitive waveform over a first pass of the electrical signal and store the waveform in memory (18). During a second pass over the electrical signal, the waveform is extracted from the electrical signal and times of occurrence of the waveform are also stored in a buffer (30). A third pass subtracts the waveform from the electrical signal for reprocessing finding an additional waveform. The process is repeated for each significantly different waveform in 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 with standard features representing diseased states and outputs results of diseased states based on the best match of the features to the normal and patient groups.

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