IMAGE-BASED PWV MEASUREMENT DEVICE AND METHOD

• US 20130046192A1
• Filed: 11/30/2011
• Published: 02/21/2013
• Est. Priority Date: 08/19/2011
• Status: Abandoned Application

• Current Assignee: Chung-Yuan Christian University
• Original Assignee: Hen Hong Chang, Kang Ping Lin, Shih Fan Wang, Yung Ching Chang
• Inventors: LIN, Yue-Der, TSAI, Ching Che, HO, Hu Ying, WANG, Shih Fan, LIN, Kang Ping, CHANG, Hen Hong, CHANG, Yung Ching
• Application Number:
  US13/307,883
• Publication Number:
  US 20130046192A1
• Time in Patent Office: Days
• US Class Current: 600/500
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0285 Measuring or recording phase velocity of blood waves

Abstract

An image-based PWV measurement device and method are provided. The measurement device comprises at least two light emitting units respectively projecting light beams to at least two detected regions on body surface; at least two light transmitting units respectively receiving and transmitting light signals measured at the different detected regions; an image sensing unit converting the light signals measured at the detected regions into image signals; a length measurement unit used to measure the distance between the detected regions; and an image analysis unit analyzing the image signals to obtain PPG signals for the detected regions. According to the PPG signals, the image analysis unit calculates the physiological parameters, including the perfusion index, respiration rate, pulse rate, stiffness index, reflection index, and PWV between the detected regions, which is derived according to the distance and the pulse transit time from the PPG signals of the two detected regions.

Claims

1. An image-based pulse wave velocity measurement device comprising:

at least two light emitting units respectively projecting light beams to at least two detected regions;

at least two light transmitting units respectively receiving and transmitting light signals measured at the detected regions;

an image sensing unit arranged corresponding to the at least two light transmitting units and converting the light signals measured at the detected regions into image signals;

a length measurement unit, for measuring a distance between the detected regions; and

an image analysis unit connected with the image sensing unit, for analyzing the image signals to obtain two photoplethysmography (PPG) signals for the detected regions, and working out a pulse wave velocity (PWV) between the detected regions according to the distance between the two detected regions and a pulse transit time (PTT) from the two PPG signals.

2. The image-based pulse wave velocity measurement device according to claim 1, wherein the image analysis unit obtains the pulse transit time (PTT) according to the two PPG signals, and wherein the PWV is equal to the distance between the two detected regions divided by the PTT.

3. The image-based pulse wave velocity measurement device according to claim 1, wherein each of the light emitting units includes

a light source module projecting a light beam to one of the detected regions;

and

a control module controlling the light source module to project the light beam of different intensities to different detected regions.

4. The image-based pulse wave velocity measurement device according to claim 3, wherein the light source module emits a monochromatic or multi-wavelength light beam, and wherein the light source module is a light emitting diode (LED), a laser diode, or an incandescent lamp.

5. The image-based pulse wave velocity measurement device according to claim 1, wherein each of the light transmitting units is an optical fiber, a reflector, or a refractor.

6. The image-based pulse wave velocity measurement device according to claim 1, wherein the image sensing unit is a CCD (charge coupled device)-based or CMOS (complementary metal oxide semiconductor)-based digital camera device.

7. The image-based pulse wave velocity measurement device according to claim 1 further comprising a data processing unit connected with the image analysis unit and using a parametric algorithm to analyze the two PPG signals to obtain a perfusion index, a respiration rate, a pulse rate, a stiffness index, a reflection index and PWV.

8. The image-based pulse wave velocity measurement device according to claim 7, wherein the data processing unit is a computer, a personal digital assistant, or a mobile phone.

9. An image-based pulse wave velocity measurement method comprising the following steps:

providing at least two detected regions and measuring a distance between the two detected regions;

providing at least two light emitting units respectively projecting light beams to the detected regions;

receiving and transmitting light signals measured at the detected regions, and converting the light signals into image signals;

analyzing the image signals to obtain two photoplethysmography (PPG) signals for the detected regions; and

working out a pulse wave velocity (PWV) between the two detected regions according to the distance between the two detected regions and a pulse transit time (PTT) from the two PPG signals.

10. The image-based pulse wave velocity measurement method according to claim 9 further comprising a step:

obtaining the pulse transit time (PTT) according to the two PPG signals, wherein the PWV is equal to the distance between the two detected regions divided by the PTT.

11. The image-based pulse wave velocity measurement method according to claim 9 further comprising a step:

using a parametric algorithm to perform an image feature analysis and a filtering process on the PPG signals to work out a perfusion index, a respiration rate, a pulse rate, a stiffness index, a reflection index and PWV.

12. The image-based pulse wave velocity measurement method according to claim 11, wherein the parametric algorithm includes the following steps:

using an image filter to process the image signals;

obtaining pixels of a region of interest (ROI) and converting the pixels into time-domain signals;

using a filter to process the time-domain signals; and

using a peak-trough detection process to find out the features of the time-domain signals for calculating the physiological parameters.

13. The image-based pulse wave velocity measurement method according to claim 11, wherein the parametric algorithm includes the following steps:

using an autoregressive (AR) model for the analysis of PPG signals;

finding out a dominant pole in a specified frequency range of respiration according to the autoregressive (AR) coefficients; and

finding out a frequency corresponding to the dominant pole in the specified frequency range of respiration and deriving the respiratory rate per minute.