DEVICE OF IMPROVING AUTOMATIC REAL-TIME HEART RATE VARIABILITY ANALYSIS USING ACCELEROMETER

• US 20100049070A1
• Filed: 08/18/2009
• Published: 02/25/2010
• Est. Priority Date: 08/19/2008
• Status: Abandoned Application

• Current Assignee: Hungkuang University
• Original Assignee: Hungkuang University
• Inventors: KAO, TSAIR, TSAI, CHING-WEI
• Application Number:
  US12/543,180
• Publication Number:
  US 20100049070A1
• Time in Patent Office: Days
• US Class Current: 600/521
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval

Abstract

The present invention provides a mobile ECG device by using accelerometer to improve real-time automatic analysis of heart rate variability, comprising: a data storage module; a microprocessor (MCU) module in which data are stored and accessed in the data storage module; an analog-to-digital converter module in which the data are transmitted to the microprocessor (MCU) module; an accelerometer peripheral hardware module in which the data are transmitted to the analog-to-digital converter module; and an electrocardiogram peripheral hardware module in which the data are transmitted to the analog-to-digital converter module.

Claims

1. A mobile ECG device by using accelerometer to improve real-time automatic analysis of heart rate variability, comprising:

a data storage module;

a microprocessor (MCU) module in which data are stored and accessed in the data storage module;

an analog-to-digital converter module in which the data are transmitted to the microprocessor (MCU) module;

an accelerometer peripheral hardware module in which the data are transmitted to the analog-to-digital converter module; and

an electrocardiogram peripheral hardware module in which the data are transmitted to the analog-to-digital converter module.

2. The device of claim 1, further comprising a power supply module.

3. The device of claim 2, wherein the power supply module is connected to an external power source or a battery or a combination of the power source and battery.

4. The device of claim 1, wherein the accelerometer peripheral hardware module further comprises a tri-axial accelerometer.

5. The device of claim 1, wherein the ECG peripheral hardware module further comprises an electrocardiogram and electrodes.

6. The device of claim 1, wherein the analog-to-digital converter module converses analog signal to digital signal and is used for operations in the microprocessor (MCU) module.

7. The device of claim 1, wherein the microprocessor (MCU) module further comprises:

R-wave detection computation where the data are used for computation of heart rate variability parameters;

computation of heart rate variability parameter where the data are used for integrating determination computation;

movement determination computation where the data are used for integrating determination computation;

integrated determination computation where the data are used for data storage peripheral control; and

data storage peripheral control where the data are stored and accessed in the data storage module.

8. The device of claim 7, wherein the R-wave detection computation is the R-wave interval of the heart beat cycle.

9. The device of claim 7, wherein the parameter computation of heart rate variability is the heart beat interval obtained using ECG or pulse measurement to obtain time domain and frequency spectrum parameters of continuous heart beat in velocity change.

10. The device of claim 7, wherein the movement determination computation uses the data from the accelerometer to process the posture and level of exercise intensity of the current state.

11. The device of claim 7, wherein the integrated determination computation utilizes personal movements as parameters to calibrate the errors in heart rate variability caused by different postures and the HF and LF of various level of exercise intensity.

12. The device of claim 7, wherein the data storage peripheral control is a control chip.

13. The device of claim 1, wherein the data storage module is a flash memory.