Patent ID: 9220437
Filing Date: 2015-12-29
Classification: A61B,G16H

Abstract:
1. A method of making diagnostic classifications of pulse signal waveform data, the method comprising: receiving, at a processor, pulse signal waveform data; identifying, by the processor, systolic peak data points in the pulse signal waveform data corresponding to a systolic peak indicating a heartbeat; based on the systolic peak data points, identifying, by the processor, complexes in the pulse signal waveform data, wherein a complex comprises a sub-waveform in the pulse signal waveform data approximately between an on-set data point and an off-set data point, wherein the on-set data point is a data point preceding a given systolic peak data point that has a local minimum amplitude and the off-set data point is a data point subsequent to the given systolic peak that has a local minimum amplitude, and wherein each complex includes deflection data points between the on-set point and the off-set point, wherein one of the deflection data points is a systolic peak corresponding to a heartbeat; determining, by the processor, a pattern distribution of the complexes based on relative magnitudes of at least three deflection data points of the complexes, wherein the pattern distribution indicates a frequency of pulse patterns appearing in the complexes of the pulse signal waveform data; and based on the pattern distribution, making, by the processor, a diagnostic classification of the pulse signal waveform data; wherein making the diagnostic classification of the pulse signal waveform data comprises determining a relationship between a first previous data point preceding the systolic peak, a first subsequent data point following the systolic peak, and a third subsequent data point following the systolic peak and a second subsequent data point; wherein making the diagnostic classification of the pulse signal waveform data comprises determining that the pulse signal waveform data is indicative of Diabetes Mellitus when the following relationship is substantially satisfied: where A is the first previous data point preceding the systolic peak, X is the first subsequent data point following the systolic peak, and Y′ is the third subsequent data point following the systolic peak and the second subsequent data point.