METHOD AND APPARATUS FOR QUANTIFICATION AND MONITORING OF CARDIOVASCULAR FUNCTION DURING INDUCED STRESS OR PHYSICAL ACTIVITY AND AT REST

• US 20140288442A1
• Filed: 06/03/2014
• Published: 09/25/2014
• Est. Priority Date: 02/25/2010
• Status: Abandoned Application

• Current Assignee: Tonino Bombardini
• Original Assignee: Tonino Bombardini
• Inventors: BOMBARDINI, Tonino
• Application Number:
  US14/295,117
• Publication Number:
  US 20140288442A1
• 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 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• 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 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/329 Load diagnosis, e.g. cardiac stress tests
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts

Abstract

Method and apparatus for the quantification and monitoring of cardiovascular function comprising continuous determination of significant individual cardiovascular function parameters through an operator-independent accelerometer during a sample period at rest, recording the data determined, continuously monitoring these data during pharmacological stress or exercise activity, comparing the memorized data with those determined during the same time span of the sample period and comparing the changes in cardiovascular function occurring during stress or exercise vs rest, and comparing the changes in cardiovascular function occurring during recovery vs rest and vs stress or exercise.

Claims

1. Method for quantifying and monitoring cardiovascular function comprising continuous determination of significant individual cardiovascular function parameters through at least one, operator-independent platform during a sample period at rest, the method comprising:

recording the data determined, continuously monitoring these data during pharmacological stress or exercise activity,

comparing the memorized data with those determined during the same time span of the sample period and comparing the cardiovascular function changes occurring during stress or exercise vs rest, and

comparing the cardiovascular function changes occurring during recovery vs rest and vs. stress or exercise, the memorized parameters comprising at least one curve of a cardiovascular function selected from the group consisting of;

a systemic blood pressure-frequency relation, a force-frequency relation, a respiratory rate-frequency relation, a diastolic left ventricular active relaxation-frequency relation, a diastolic right ventricular active relaxation-frequency relation, a pulmonary artery pressure-frequency relation, an anaerobic threshold-frequency relation, a recovery contractility and a diastolic function overshoot-frequency relation, wherein the sensor is an accelerometer measuring the vibrations produced by the cardiovascular system and physiologically transferred from the inside of the body to the chest surface.

2. The method as claimed in claim 1, wherein the memorized parameters are the heart rate, activity level, cardiovascular function, and the curve of the cardiovascular function variation as a function of heart rate and/or activity.

3. The method as claimed in claim 2, further comprising expressing the cardiovascular function as a set of physiological parameters obtained by algebraic calculations through obtained measurements.

4. The method as claimed in claim 2, further comprising deriving effective measurements of the cardiovascular function-frequency relation by a multi-sensorial, simultaneous, monitoring strategy with a mobile priority intelligent algorithm;

the mobile priority intelligent algorithm gives priority to the best sensor information in a time-mobile information flux and blind non-effective measurements to obtain continuously intelligible outputs of the cardiovascular function-frequency relation.

5. An apparatus for implementing the method as claimed in claim 1 comprising at least one accelerometer emitting cardiovascular function-indicative signals associated with an ECG sensor and/or an activity sensor arranged to measure cardiac electrical activity and/or body activity and to emit electrical signals indicative thereof wherein means are provided for transforming the signals emitted by said sensors from analog to digital, and to feed the signals to a processor to obtain a cardiovascular function-frequency relation curve, and the variations thereof over time, a memory for memorizing the digital data in an ordered manner being associated to the processor, the memorized data can be also read remotely by a telemetric connection.

6. The apparatus as claimed in claim 5, wherein the accelerometer monitors a systolic force-frequency relation.

7. The apparatus as claimed in claim 5, wherein the accelerometer monitors a diastolic force-frequency relation and filling function of the heart.

8. The apparatus as claimed in claim 5, wherein the accelerometer monitors a systemic blood pressure-frequency relation.

9. The apparatus as claimed in claim 5, wherein the accelerometer is configured to assess a respiratory rate and function, and monitors respiratory-frequency relation.

10. The apparatus as claimed in claim 5, wherein the accelerometer provides information on active relaxation of a left ventricle in diastole trough monitoring a pressure gradient across an aortic valve at the time of closure and the left ventricle and giving information on active relaxation of the right ventricle in diastole trough monitoring the pressure gradient across the pulmonary valve at the time of closure and the right ventricle, and for the monitoring of the diastolic left and right ventricular active relaxation-frequency relation.

11. The apparatus as claimed in claim 5, wherein the accelerometer monitors the anaerobic threshold-frequency relation.

12. The apparatus as claimed in claim 5, wherein the accelerometer monitors continuously a time gap between the aortic valve opening and pulmonary valve opening, and a time gap between aortic valve closure and pulmonary valve closure;

providing information on pulmonary artery pressure, and the pulmonary artery pressure-frequency relationship.

13. The apparatus as claimed in claim 5 wherein sensor emitting cardiovascular function-indicative signals is a vibration sensor configured to detect a contractility overshoot and/or a diastolic function overshoot in a post stress or post-exercise recovery period.

14. The apparatus as claimed in claim 5, wherein the accelerometer is associated with an ECG sensor and is configured to measure cardiac electrical activity and to emit electrical signals indicative thereof and is associated with an activity and position sensor to evaluate activity or body position.

15. The apparatus as claimed in claim 5, further comprising at least one microprocessor, with at least one sensor, and at least one calculation program to derive the cardiovascular function-frequency relation, configured to automatically calculate a set of physiological parameters, using data obtained by the sensor, or data quantified by standard methods and digitized by operators, or both sensor data and standard quantified data, creating a cardiovascular function-frequency relationship;

at least one of the automatically calculated parameters are selected from the group consisting of;

body surface area, stroke volume, cardiac output, mean arterial pressure, pulse pressure, end systolic pressure, LV elastance (E_es) index, effective arterial elastance index (Eai), ventricular-arterial coupling, systemic vascular resistance, systemic arterial compliance, mitral E/E′

, diastolic mean filling rate, diastolic time/systolic time ratio, pulmonary artery systolic pressure, pulmonary artery end-diastolic pressure, mean pulmonary pressure, pulmonary artery pulse pressure, pulmonary vascular resistance, pulmonary vascular capacitance, and pulmonary capillary wedge pressure (PCWP);

at rest, during stress or physical activity, in recovery period, as values or value changes vs rest.