IPC분류정보
국가/구분 |
United States(US) Patent
등록
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국제특허분류(IPC7판) |
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출원번호 |
US-0894312
(2007-08-20)
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등록번호 |
US-8556810
(2013-10-15)
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발명자
/ 주소 |
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출원인 / 주소 |
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인용정보 |
피인용 횟수 :
3 인용 특허 :
166 |
초록
▼
A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is provided. Physiological measures are stored, including at least one of direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a pat
A system and method for evaluating a patient status from sampled physiometry for use in heart failure assessment is provided. Physiological measures are stored, including at least one of direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a patient and measures derived from the direct measures. At least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry are sampled. A status for the patient is determined through analysis of the sampled physiological measures assembled from a plurality of recordation points. The sampled physiological measures are evaluated. Trends that are indicated by the patient status, which might affect cardiac performance of the patient, are identified. Each trend is compared to worsening heart failure indications to generate a notification of parameter violations.
대표청구항
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1. A system for evaluating a patient status for use in heart failure assessment, comprising: a data module to assemble physiological measures of a patient and of one or more of the group consisting of: a peer group of disease-specific patients, and an overall patient population, wherein each physiol
1. A system for evaluating a patient status for use in heart failure assessment, comprising: a data module to assemble physiological measures of a patient and of one or more of the group consisting of: a peer group of disease-specific patients, and an overall patient population, wherein each physiological measure was directly recorded as data on a substantially continuous basis by an implantable medical device for a particular patient or indirectly derived from the data;a status module to determine wellness indicators for the patient through sampling and analysis of the physiological measures over a plurality of data assembly points; andan evaluation module to evaluate the physiological measures, comprising: an analysis module to identify a patient status that is indicated by a trend in the wellness indicators; anda comparison module to compare the patient status to worsening heart failure indications. 2. A system according to claim 1, further comprising: a sampling module to form sampling sets, comprising at least one of: a peer module to group a plurality of the physiological measures, which each relate to a same type of physiometry, into one or more peer measures sets; anda sibling module to group a plurality of the physiological measures, which each relate to a different type of physiometry, into one or more sibling measures sets,wherein one or more of the sampling sets is selected as the physiological measures. 3. A system according to claim 1, further comprising: a feedback module to provide tiered feedback from the patient status, comprising at least one of: a first level module to communicate, at a first level, an interpretation of the patient status;a second level module to communicate, at a second level, a notification of potential medical concern based on the patient status;a third level module to communicate, at a third level, a notification of potential medical concern based on the patient status to medical personnel; anda fourth level module to communicate, at a fourth level, a set of reprogramming instructions based on the patient status to an implantable medical device. 4. A system according to claim 1, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue. 5. A system according to claim 1, further comprising: a measurement module to measure one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity. 6. A system according to claim 1, further comprising: a reprogramming module to reprogram an implantable medical device based on evaluation of the physiological measures. 7. A system according to claim 6, wherein the worsening heart failure indications are factored into the reprogramming. 8. A system according to claim 1, wherein respiration rate is tracked through the implantable medical device, further comprising: a notification module to generate a notification triggered by a parameter assigned to the respiration rate. 9. A system according to claim 8, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 10. A method for evaluating a patient status for use in heart failure assessment, comprising: assembling physiological measures of a patient and of one or more of the group consisting of: a peer group of disease specific patients and an overall patient population, wherein each physiological measure was directly recorded as data on a substantially continuous basis by an implantable medical device for a particular patient or indirectly derived from the data;determining wellness indicators for the patient through sampling and analysis of the physiological measures over a plurality of data assembly points; andidentifying a patient status that is indicated by the wellness indicators and comparing the patient status to worsening heart failure indications. 11. A method according to claim 10, further comprising: forming sampling sets, comprising at least one of: grouping a plurality of the physiological measures, which each relate to a same type of physiometry, into one or more peer measures sets; andgrouping a plurality of the physiological measures, which each relate to a different type of physiometry, into one or more sibling measures sets; andselecting one or more of the sampling sets as the physiological measures. 12. A method according to claim 10, further comprising: providing tiered feedback from the patient status, comprising at least one of: at a first level, communicating an interpretation of the patient status;at a second level, communicating a notification of potential medical concern based on the patient status;at a third level, communicating a notification of potential medical concern based on the patient status to medical personnel; andat a fourth level, communicating a set of reprogramming instructions based on the patient status to an implantable medical device. 13. A method according to claim 10, wherein the worsening heart failure indications are selected from the group comprising pulmonary artery pressure, left atrial pressure, dyspnea, orthopnea, pulmonary edema, peripheral edema, and fatigue. 14. A method according to claim 10, further comprising: measuring one or more of pulmonary artery pressure, heart rate, heart sounds, intrathoracic impedance, respiration, posture, lung fluid, activity, weight, and physiological response to activity. 15. A method according to claim 10, further comprising: reprogramming an implantable medical device based on evaluation of the physiological measures. 16. A method according to claim 15, further comprising: factoring the worsening heart failure indications into the reprogramming. 17. A method according to claim 10, further comprising: tracking respiration rate through the implantable medical device; andgenerating a notification triggered by a parameter assigned to the respiration rate. 18. A method according to claim 17, wherein the parameter comprises one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 19. A system for evaluating a patient status from sampled physiometry for use in heart failure assessment, comprising: a storage module to store physiological measures of a patient and of at least one of the group consisting of: a peer group of disease specific patients and an overall patient population, each physiological measure comprising at least one of the group consisting of: direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a particular patient and measures derived from the direct measures;a sampling module to sample at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;a status module to determine wellness indicators for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points; andan evaluation module to evaluate the sampled physiological measures, comprising: an analysis module to identify a patient status that is indicated by a trend in the wellness indicators, which might affect cardiac performance of the patient; anda comparison module to compare the patient status to worsening heart failure indications to generate a notification of parameter violations. 20. A system according to claim 19, further comprising: a reprogramming module to reprogram an implantable medical device based on extended evaluation of the direct measures and the derived measures. 21. A system according to claim 19, further comprising: a tracking module to track respiration rate of the patient on a regular basis through the implantable medical device; and a notification module to generate a notification triggered by one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term. 22. A method for evaluating a patient status from sampled physiometry for use in heart failure assessment, comprising: storing physiological measures comprising measures for a patient, and measures for one or more of the group consisting of: a peer group of disease specific patients and an overall patient population, wherein the physiological measures further comprise at least one of the group consisting of: direct measures regularly recorded on a substantially continuous basis by an implantable medical device for a particular patient and measures derived from the direct measures;sampling at least one of those of the physiological measures, which each relate to a same type of physiometry, and those of the physiological measures, which each relate to a different type of physiometry;determining wellness indicators for the patient through analysis of those sampled physiological measures assembled from a plurality of recordation points; andevaluating the sampled physiological measures, comprising: identifying a patient status that is indicated by a trend in the wellness indicators, which might affect cardiac performance of the patient; andcomparing the patient status to worsening heart failure indications to generate a notification of parameter violations. 23. A method according to claim 22, further comprising: reprogramming an implantable medical device based on extended evaluation of the direct measures and the derived measures. 24. A method according to claim 22, further comprising: tracking respiration rate of the patient on a regular basis through the implantable medical device; andgenerating a notification triggered by one or more of an upper limit parameter applied over a short term and a counter parameter applied over a long term.
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