Method and apparatus for personalized physiologic parameters
First Claim
1. A method of predicting an impending patient cardiac event, the method comprising:
- receiving from an adherent device impedance data measured with respect to a patient;
receiving from an input mechanism patient descriptive data indicating at least one characteristic of the patient;
establishing, via a processor, at least one patient-specific value for the patient based at least in part on the impedance data, wherein establishing at least one patient-specific value comprises processing the impedance data to establish a baseline impedance specific to the patient and a baseline breath parameter specific to the patient and computing a predicted impedance specific to the patient based on the patient descriptive data;
making ongoing measurements of the impedance via the adherent device and computing ongoing measurements of the breath parameter via the processor;
computing via the processor an impedance index indicative of a change in the impedance relative to the baseline impedance over time;
computing via the processor a breath index indicative of a change in the breath parameter relative to the baseline breath parameter over time;
computing via the processor a predicted impedance index indicative of a change in the impedance relative to the predicted impedance over time; and
generating based at least in part on comparisons of the impedance index, the breath index, and the predicted impedance index with respective preselected thresholds performed by the processor, a patient event prediction output predictive of the impending patient cardiac event.
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Accused Products
Abstract
Methods and apparatus combine patient measurement data with demographic or physiological data of the patient to determine an output that can be used to diagnose and treat the patient. A customized output can be determined based the demographics of the patient, physiological data of the patient, and data of a population of patients. In another aspect, patient measurement data is used to predict an impending cardiac event, such as acute decompensated heart failure. At least one personalized value is determined for the patient, and a patient event prediction output is generated based at least in part on the personalized value and the measurement data. For example, bioimpedance data may be used to establish a baseline impedance specific to the patient, and the patient event prediction output generated based in part on the relationship of ongoing impedance measurements to the baseline impedance. Multivariate prediction models may enhance prediction accuracy.
697 Citations
20 Claims
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1. A method of predicting an impending patient cardiac event, the method comprising:
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receiving from an adherent device impedance data measured with respect to a patient; receiving from an input mechanism patient descriptive data indicating at least one characteristic of the patient; establishing, via a processor, at least one patient-specific value for the patient based at least in part on the impedance data, wherein establishing at least one patient-specific value comprises processing the impedance data to establish a baseline impedance specific to the patient and a baseline breath parameter specific to the patient and computing a predicted impedance specific to the patient based on the patient descriptive data; making ongoing measurements of the impedance via the adherent device and computing ongoing measurements of the breath parameter via the processor; computing via the processor an impedance index indicative of a change in the impedance relative to the baseline impedance over time; computing via the processor a breath index indicative of a change in the breath parameter relative to the baseline breath parameter over time; computing via the processor a predicted impedance index indicative of a change in the impedance relative to the predicted impedance over time; and generating based at least in part on comparisons of the impedance index, the breath index, and the predicted impedance index with respective preselected thresholds performed by the processor, a patient event prediction output predictive of the impending patient cardiac event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for predicting an impending cardiac event of a patient, the system comprising:
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an adherent device attachable to a patient to electronically measure impedance data from the patient; an input mechanism for receiving patient descriptive data indicating at least one descriptive characteristic of the patient; and a processor and a tangible memory readable by the processor; wherein the memory stores instructions that, when executed by the processor, cause the system to; compute a baseline impedance specific to the patient and a baseline breath parameter specific to the patient based on the received impedance data; compute a predicted impedance specific to the patient based on the patient descriptive data; receive ongoing measurements of impedance data measured from the patient and in response to ongoing impedance data, compute an impedance index indicative of a change in the impedance relative to the baseline impedance, compute a breath index indicative of a change in the breath parameter relative to the baseline breath parameter over time, and compute a predicted impedance index indicative of a change in the impedance relative to the predicted impedance over time; and generate a patient event prediction output predictive of the impending patient cardiac event based at least in part on comparisons of the impedance index, the breath index, and the predicted impedance index with respective preselected thresholds. - View Dependent Claims (18, 19, 20)
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Specification