System and method for predicting patient health within a patient management system
First Claim
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1. An implantable device comprising:
- an accelerometer to sense body motion data represented as an accelerometer data pattern and;
an impedance sensor to sense transthoracic impedance data;
a cardio-activity sensor to sense cardiac data;
an analysis component; and
a communications component communicatively coupled to the accelerometer, the impedance sensor, and the cardio-activity sensor, the communications component configured to communicate the body motion data, the transthoracic impedance data, and cardiac data to the analysis component,the analysis component configured to;
obtain a transthoracic impedance variation pattern from the transthoracic impedance data;
identify a possible illness from the transthoracic impedance variation pattern, with the possible illnesses including an onset of asthma and a progression of heart failure;
obtain an inhalation/exhalation time ratio measured by the transthoracic impedance data; and
determine whether the possible illness is likely a progression of heart failure by removing the possibility of the possible illness being asthma based on the inhalation/exhalation time ratio and the accelerometer data pattern.
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Abstract
Systems and Methods for predicting patient health and patient relative well-being within a patient management system are disclosed. A preferred embodiment utilizes an implantable medical device comprising an analysis component and a sensing component further comprising a three-dimensional accelerometer, a transthoracic impedance sensor, a cardio-activity sensor, an oxygen saturation sensor and a blood glucose sensor. Some embodiments of a system disclosed herein also can be configured as an Advanced Patient Management System that helps better monitor, predict and manage chronic diseases.
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Citations
20 Claims
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1. An implantable device comprising:
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an accelerometer to sense body motion data represented as an accelerometer data pattern and; an impedance sensor to sense transthoracic impedance data; a cardio-activity sensor to sense cardiac data; an analysis component; and a communications component communicatively coupled to the accelerometer, the impedance sensor, and the cardio-activity sensor, the communications component configured to communicate the body motion data, the transthoracic impedance data, and cardiac data to the analysis component, the analysis component configured to; obtain a transthoracic impedance variation pattern from the transthoracic impedance data; identify a possible illness from the transthoracic impedance variation pattern, with the possible illnesses including an onset of asthma and a progression of heart failure; obtain an inhalation/exhalation time ratio measured by the transthoracic impedance data; and determine whether the possible illness is likely a progression of heart failure by removing the possibility of the possible illness being asthma based on the inhalation/exhalation time ratio and the accelerometer data pattern. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-readable storage medium comprising instructions, which when executed by a machine, cause the machine to:
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receive body motion data from an accelerometer; receive transthoracic impedance data from an impedance sensor; receive cardiac data from a cardio-activity sensor; obtain a transthoracic impedance variation pattern from the transthoracic impedance data; identify a possible illness from the transthoracic impedance variation pattern, with the possible illnesses including an onset of asthma, an occurrence of chronic obstructive pulmonary disease, and a progression of heart failure; obtain an accelerometer data patter from the body motion data; obtain an inhalation/exhalation time ratio measured by the transthoracic impedance data; and determine whether the possible illness is likely a progression of heart failure by removing the possibility of the possible illness being asthma based on the inhalation/exhalation time ratio and the accelerometer data pattern. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A method comprising:
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receiving body motion data from an accelerometer; receiving transthoracic impedance data from an impedance sensor; receiving cardiac data from a cardio-activity sensor; obtaining a transthoracic impedance variation pattern from the transthoracic impedance data; identifying a possible illness from the transthoracic impedance variation pattern, with the possible illnesses including an onset of asthma, an occurrence of chronic obstructive pulmonary disease, and a progression of heart failure; obtaining an accelerometer data patter from the body motion data; obtaining an inhalation/exhalation time ratio measured by the transthoracic impedance data; and determining whether the possible illness is likely a progression of heart failure by removing the possibility of the possible illness being asthma based on the inhalation/exhalation time ratio and the accelerometer data pattern. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification