최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0494241 (2014-09-23) |
등록번호 | US-9173615 (2015-11-03) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 3 인용 특허 : 344 |
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
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.
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
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; andgenerating 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. 2. The method of claim 1, wherein receiving patient descriptive data comprises receiving an indicator of an amount of fat in the patient's body. 3. The method of claim 1, wherein receiving patient descriptive data comprises receiving a height and weight of the patient. 4. The method of claim 1, wherein receiving patient descriptive data comprises receiving a body mass index of the patient. 5. The method of claim 1, wherein the patient event prediction output is predictive of an impending acute decompensated heart failure event. 6. The method of claim 5, wherein the acute decompensated heart failure event is any event or combination of events selected from the group consisting of 1) any heart failure-related emergency room visit by the patient or hospitalization of the patient requiring administration of intravenous diuretics, inotrope, or ultrafiltration for fluid removal; 2) a change in diuretic directed by a health care provider, wherein the change is one or more of a) a change in the prescribed diuretic type, b) and increase in dose of an existing diuretic, or c) the addition of another diuretic; and 3) an acute decompensated heart failure event for which the outcome is death of the patient. 7. The method of claim 1, wherein receiving impedance data measured from the patient comprises: affixing an adherent device to the patient, the adherent device comprising electrodes in electrical contact with the patient's skin, and the adherent device generating an impedance output indicating an impedance between at least two of the electrodes; and receiving the impedance output. 8. The method of claim 1, wherein the baseline impedance is established using impedance data measured from the patient during a period of low patient activity. 9. The method of claim 8, wherein the baseline impedance is established using impedance data measured from the patient while the patient is at rest. 10. The method of claim 1, wherein the baseline breath parameter is established using impedance data measured from the patient during a period of low patient activity. 11. The method of claim 10, wherein the baseline breath parameter is established using impedance data measured from the patient while the patient is at rest. 12. The method of claim 1, wherein the breath parameter relates to the volume of air breathed by the patient. 13. The method of claim 1, wherein the predicted impedance is computed from the patient's height and weight or from the patient's body mass index. 14. The method of claim 1, wherein generating the patient event prediction output comprises generating the event prediction output based at least in part on a relationship of ongoing measurements of the impedance to the predicted impedance. 15. The method of claim 1, wherein computing the patient prediction output further comprises computing an amount of time for which at least one of the indices has exceeded its respective threshold. 16. The method of claim 1, further comprising generating the patient prediction output predicting a cardiac event when the impedance index and the predicted impedance index have both exceeded their respective thresholds for time period of preselected duration, and the breath index has exceeded its respective threshold at least once during the time period. 17. A system for predicting an impending cardiac event of a patient, the system comprising: 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; anda 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; andgenerate 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. 18. The system of claim 17, wherein the received patient descriptive data includes at least one of an indicator of an amount of fat in the patient's body, a height and weight of the patient, and a body mass index of the patient. 19. The system of claim 17, wherein the adherent device includes at least two electrodes coupled to circuitry to measure an impedance of the patient. 20. The system of claim 17, wherein the baseline impedance and baseline breath parameter is established using impedance data measured from the patient during a period of low patient activity or rest.
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