SYSTEM AND METHOD FOR PREDICTING PATIENT HEALTH WITHIN A PATIENT MANAGEMENT SYSTEM

• US 20100268095A1
• Filed: 06/30/2010
• Published: 10/21/2010
• Est. Priority Date: 01/02/2003
• Status: Active Grant

• Current Assignee: Bruce H. Kenknight, Michael J. Pederson, Richard Fogoros, Scott Thomas Mazar, Yatheendhar Manicka
• Original Assignee: Bruce H. Kenknight, Michael J. Pederson, Richard Fogoros, Scott Thomas Mazar, Yatheendhar Manicka
• Inventors: Fogoros, Richard, KenKnight, Bruce H., Manicka, Yatheendhar, Mazar, Scott Thomas, Pederson, Michael J.
• Granted Patent: US 8,628,471 B2
• Time in Patent Office: Days
• US Class Current: 600/484
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/363 Detecting tachycardia or bradycardia

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.

Claims

1. An implantable device comprising:

an accelerometer to sense at least one of motion or position data;

an impedance sensor to sense transthoracic impedance data; and

a communications component communicatively coupled to the accelerometer and the impedance sensor, and configured to communicate the at least one motion or position data, and the transthorcic impedance data to an analysis component, the analysis component configured to derive an inhalation/exhalation time ratio from the transthorcic impedance data and use the at least one of motion or position data in combination with the inhalation/exhalation time ratio to detect the existence or progression of asthma.

2. An implantable device comprising:

a cardio-activity sensor to sense cardiac data;

an accelerometer to sense at least one of motion or position data;

an impedance sensor to sense transthoracic impedance data; and

a communications component communicatively coupled to the cardio-activity sensor, the accelerometer, and the impedance sensor, and configured to communicate the cardiac data, the at least one motion or position data, and the transthorcic impedance data to an analysis component, the analysis component configured to monitor left and right intracardial R-wave amplitudes derived from the cardiac data and correlate changes with changes in the at least one of motion or position data, and the transthorcic impedance data to detect the existence or progression of pulmonary edema.

3. A analysis device comprising:

a communications component configured to receive cardiac data, accelerometer data, and transthorcic impedance data; and

an analysis component configured to;

monitor left and right intracardial R-wave amplitudes derived from the cardiac data; and

correlate changes in the left and right intracardial R-wave amplitudes with changes accelerometer data and the transthorcic impedance data to detect the existence or progression of pulmonary edema.