Diagnostic Classifications of Pulse Signal Waveform Data
First Claim
1. A method of making diagnostic classifications of pulse signal waveform data, the method comprising:
- receiving pulse signal waveform data;
identifying systolic peak data points in the pulse signal waveform data corresponding to a systolic peak indicating a heart beat;
based on the systolic peak data points, identifying 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 heart beat;
determining 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 a diagnostic classification of the pulse signal waveform data.
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Abstract
Diagnostic classifications of pulse signal waveform data is provided. In one example, diagnosis or prediction of a disease may be performed by analyzing pulse signal waveform data, and comparing aspects of the pulse signal waveform data with a morphology pattern that has been found to indicate a subject is suffering from a specific disease. A pulse signal can be captured via wrist electrodes using bio-electric sensors based on an impedance plethysmographic principle, for example, and processed using feature extraction for diagnosis and assessment of the subject'"'"'s proneness to a disease. Analysis of the pulse signal and pulse morphology patterns provides an in-vitro, non-invasive, and low-cost method for diagnosing diseases.
6 Citations
20 Claims
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1. A method of making diagnostic classifications of pulse signal waveform data, the method comprising:
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receiving pulse signal waveform data; identifying systolic peak data points in the pulse signal waveform data corresponding to a systolic peak indicating a heart beat; based on the systolic peak data points, identifying 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 heart beat; determining 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 a diagnostic classification of the pulse signal waveform data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions of:
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receiving pulse signal waveform data; identifying systolic peak data points in the pulse signal waveform data corresponding to a systolic peak indicating a heart beat; based on the systolic peak data points, identifying 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 heart beat; determining 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 a diagnostic classification of the pulse signal waveform data. - View Dependent Claims (17, 18, 19)
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20. A system comprising:
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a database storing known patterns of pulse signals; an input interface for receiving pulse signal waveform data; and a processor configured to identify systolic peak data points in the pulse signal waveform data corresponding to a systolic peak indicating a heart beat, the processor further based on the systolic peak data points configured to identify 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 heart beat, wherein based on relative magnitudes of at least three deflection data points of the complexes the processor is configured to compare a pattern of each complex with the known patterns of pulse signals in the database, and to make a diagnostic classification of the pulse signal waveform data.
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Specification