Method and system for temperature analysis to provide an early marker of congestive heart failure progress that precedes a patient's symptoms
First Claim
1. A method of predicting worsening of heart failure in a patient, comprising:
- obtaining, by a processor, time domain temperature data (TDTD) of core body temperature of the patient taken over a time period of more than one day;
converting, by said processor, said TDTD to a frequency domain representation (FDR);
determining, by said processor, a first marker indicative of worsening of heart failure of the patient by analyzing the FDR;
determining, by said processor, a second marker indicative of worsening of heart failure by analyzing the TDTD, wherein analyzing the TDTD comprises performing at least one of Cosinor analysis, approximate entropy, tempogram, day-night mean temperature difference, body temperature daily range, interdaily stability, and time-lag embedding;
weighing outputs of at least two analysis techniques to render a total score indicative of the current condition of the patient, wherein the at least two analysis techniques comprise a technique for analyzing the TDTD and another technique for analyzing the FDR; and
determining that the patient is experiencing worsening heart failure based on the total score.
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Abstract
The temperature of a patient is a significant predictor of death in heart failure patients. Temperature provides a window into the physiology of the patient'"'"'s underlying condition and may be used as an early marker for CHF exacerbations. The patient'"'"'s temperature is taken to form a time series of temperature values. In accordance with some embodiments, the time series of temperature values is converted to the frequency domain by, for example, a discrete Fourier Transform. The frequency domain representation then is analyzed for a marker indicative of the worsening condition of the patient. In accordance with other embodiments, the patient'"'"'s time series of temperature values is analyzed for a marker using, for example, Cosinor analysis. In yet other embodiments, both the time and frequency domain temperature data is analyzed for markers of the patient'"'"'s worsening medical condition.
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Citations
23 Claims
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1. A method of predicting worsening of heart failure in a patient, comprising:
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obtaining, by a processor, time domain temperature data (TDTD) of core body temperature of the patient taken over a time period of more than one day; converting, by said processor, said TDTD to a frequency domain representation (FDR); determining, by said processor, a first marker indicative of worsening of heart failure of the patient by analyzing the FDR; determining, by said processor, a second marker indicative of worsening of heart failure by analyzing the TDTD, wherein analyzing the TDTD comprises performing at least one of Cosinor analysis, approximate entropy, tempogram, day-night mean temperature difference, body temperature daily range, interdaily stability, and time-lag embedding; weighing outputs of at least two analysis techniques to render a total score indicative of the current condition of the patient, wherein the at least two analysis techniques comprise a technique for analyzing the TDTD and another technique for analyzing the FDR; and determining that the patient is experiencing worsening heart failure based on the total score. - View Dependent Claims (2, 3, 4)
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- 5. A system comprising a processor that receives time domain temperature data (TDTD) pertaining to a patient, converts said TDTD to a frequency domain representation (FDR), and determines a first marker indicative of worsening of heart failure of the patient by analyzing the FDR and determines a second marker indicative of worsening of heart failure by analyzing the TDTD, wherein analyzing the TDTD comprises performing at least one of Cosinor analysis, approximate entropy, tempogram, day-night mean temperature difference, body temperature daily range, interdaily stability, and time-lag embedding, wherein the processor weighs outputs of at least two analysis techniques to render a total score indicative of the current condition of the patient, wherein the at least two analysis techniques comprise a technique for analyzing the TDTD and another technique for analyzing the FDR.
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19. A non-transitory computer-readable storage medium (CRSM) containing software that, when executed by a processor, causes the processor to:
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receive time domain temperature data (TDTD) of core body temperature of a patient taken over a time period of more than one day; convert said TDTD to a frequency domain representation (FDR); determine a first marker indicative of worsening of heart failure of the patient by analyzing the FDR; determine a second marker indicative of worsening of heart failure by analyzing the TDTD, wherein analyzing the TDTD comprises performing at least one of Cosinor analysis, approximate entropy, tempogram, day-night mean temperature difference, body temperature daily range, interdaily stability, and time-lag embedding; and weigh outputs of at least two analysis techniques to render a total score indicative of the current condition of the patient, wherein the at least two analysis techniques comprises a technique for analyzing the TDTD and another technique for analyzing the FDR. - View Dependent Claims (20, 21)
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22. An implantable medical device comprising
a pacemaker or a defibrillator including an electrical pulse generator; - and
a processor that receives time domain temperature data (TDTD) of core body temperature of a patient taken over a time period of more than one day, performs Cosinor analysis on said TDTD, converts said TDTD to a frequency domain representation (FDR), determines a first marker indicative of worsening of heart failure of the patient upon detecting a change in at least one of the mesor, amplitude, and acrophase of the Cosinor analysis of the TDTD, and determines a second marker indicative of worsening of heart failure by analyzing the FDR; wherein said electrical pulse generator is configured to generate an electrical stimulation signal upon determination that at least one of the markers has exceeded a threshold; and wherein the processor computes a score based on both the TDTD and the FDR. - View Dependent Claims (23)
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Specification