Monitoring device and method for estimating blood constituent concentration for tissues with low perfusion

• US 9,687,162 B2
• Filed: 02/28/2012
• Issued: 06/27/2017
• Est. Priority Date: 09/03/2009
• Status: Active Grant

• Current Assignee: CSEM Centre Suisse d'Electronique et de Microtechnique SA Recherche et Développement, CSEM SA
• Original Assignee: CSEM Centre Suisse D'Electronique et de Microtechnique SA
• Inventors: Vetter, Rolf, Rossini, Leopoldo, Ridolfi, Andrea, Sola i Caros, Josep, Correvon, Marc
• Primary Examiner(s): Winakur, Eric
• Assistant Examiner(s): Liu, Chu Chuan (JJ)
• Application Number:
  US13/406,691
• Publication Number:
  US 20120190948A1
• Time in Patent Office: 1,946 Days
• Field of Search: 600300, 600309, 600322, 600323, 600324, 600326, 600336, 600340, 600473, 600476, 600509, 356 41
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/046 in a matrix array
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

The present disclosure relates to a method for estimating blood constituent concentration of a user under low perfusion conditions using a spectrophotometry-based monitoring device; the method comprising: measuring a plurality of photoplethysmographic (PPG) signals; measuring a cardio-synchronous (CV) signal; detecting an instantaneous heart rate and determining a heart rate variability from the CV signal; selecting reliable projected PPG signals; estimating a value of said blood constituent concentration from the magnitude of said reliable projected PPG signals. The disclosed method requires diminished computational load compared to conventional methods based on frequency domain approach as FFT or DCT. The disclosure also pertains to a monitoring device for estimating blood constituent concentration in tissue under low perfusion of a user.

Claims

1. Method for estimating a hemoglobin-related blood constituent concentration of a user under low perfusion conditions:

measuring a plurality of photoplethysmographic (PPG) signals by using a spectrophotometry-based monitoring device comprising a multichannel sensor formed from a plurality of channels, each PPG signal being measured by one of the channels;

measuring a cardio-synchronous (CV) signal by using a cardiovascular sensor of the spectrophotometry-based monitoring device; and

using a signal processor configured for;

detecting an instantaneous heart rate and determining a heart rate variability from the CV signal;

for each detected heart rate, determining projected PPG signals by projecting the measured PPG signals multiplied by a window function on a principal frequency component, and determining a magnitude of the projected PPG signals as the sum of the projected PPG signals;

selecting reliable projected PPG signals, wherein reliable projected PPG signals are projected PPG signals which have a predetermined magnitude and a predetermined phase and/or coherence between the PPG signals and the principal frequency component;

estimating a value of said blood constituent concentration from the magnitude of said reliable projected PPG signals selected over a predetermined time period;

said window function having a window length which is adjusted at each detected heart rate according to the determined heart rate variability; and

the frequency of said principal frequency component being estimated by averaging the heart rate over the window length.

2. The method according to claim 1, wherein said blood constituent concentration comprises blood oxygen saturation, carboxyhemoglobin, met-hemoglobin, or a combination of any of them.

3. The method according to claim 1, wherein the principal frequency component is a harmonic component, said principal frequency component'"'"'s phase being determined by the instantaneous heart rate and said principal frequency component'"'"'s frequency being determined by the averaged heart rate.

4. The method according to claim 1, wherein the principal frequency component is the fundamental wavelet of a wavetable oscillator, said principal frequency component'"'"'s phase being determined by the instantaneous heart rate and said principal frequency component'"'"'s frequency being determined by the averaged heart rate.

5. The method according to claim 1, wherein said averaging the heart rate comprises determining the mean heart rate value of heart rate detected prior to the instantaneous heart rate, over the whole window length.

6. The method according to claim 1, wherein said predetermined coherence is equal or above 0.7.

7. The method according to claim 1, wherein the monitoring device further comprises a motion sensor or measuring a motion signal, and wherein the method further comprises extracting a motion frequency from the motion signal.

8. The method according to claim 7, wherein the window function is designed according to the extracted motion frequency.

9. The method according to claim 8, wherein for the motion artifacts being smaller than large-band background noise, the window function has maximal attenuation of lateral lobes.

10. The method according to claim 9, wherein the window function is a Hanning window or a Kaiser window.

11. The method according to claim 10, wherein for the motion artifacts being larger than large-band background noise, the window function yields an equivalent frequency response having zeros at the motion frequency and motion frequency harmonics.

12. The method according to claim 11, wherein the window function is a rectangular window.

13. The method according to claim 3, wherein the phase of said principal frequency component is determined by the corresponding instantaneous R-wave location, or instantaneous heart rate, on a CV signal delivered by an ECG-based sensor.

14. The method according to claim 1, wherein each of said plurality of channels comprises at least two radiation sources, each radiation source emitting radiation at a wavelength, and the wavelength of each of said radiation sources is selected in accordance with the hemoglobin-related blood constituent concentration to be estimated.

15. Monitoring device for estimating a hemoglobin-related blood constituent concentration in tissue under low perfusion of a user comprising:

a multichannel sensor formed from a plurality of photoplethysmographic (PPG) sensor channels, each PPG sensor channel configured to measure a PPG signal;

a cardiovascular sensor configured to measure a cardio-synchronous (CV) signal;

and a signal processor configured to;

detect an instantaneous heart rate and determine a heart rate variability from the CV signal;

for each detected heart rate, determining projected PPG signals by projecting the measured PPG signals multiplied by a window function on a principal frequency component, and determining a magnitude of the projected PPG signals as the sum of the projected PPG signals;

select reliable projected PPG signals, wherein reliable projected PPG signals are projected PPG signals which have a predetermined magnitude and a predetermined phase and/or coherence between the PPG signals and the principal frequency component;

estimate a value of said blood constituent concentration from the magnitude of said reliable projected PPG signals selected over a predetermined time period;

said window function having a window length which is adjusted at each detected heart rate according to the determined heart rate variability; and

the frequency of said principal frequency component being estimated by averaging the heart rate over the window length.

16. The monitoring device according to claim 15, further comprising a motion sensor for measuring a motion signal.

17. The monitoring device according to claim 15, wherein each of said plurality of channels comprises an emitter containing a first and second radiation source emitting at the red and infrared wavelengths, respectively, and a receiver for receiving optical radiation emitted by the emitter.

18. The monitoring device according to claim 15, wherein said cardiovascular sensor is an ECG sensor and the CV signal is a surface ECG signal.

19. The monitoring device according to claims 15, wherein said cardiovascular sensor is a PPG sensor and the CV signal is a PPG signal.

20. The monitoring device according to claim 15, wherein each of said plurality of channels comprises at least two radiation sources, each radiation source emitting radiation at a wavelength, and the wavelength of each of said radiation sources is selected in accordance with the hemoglobin-related blood constituent concentration to be estimated.

21. Method for estimating a hemoglobin-related blood constituent concentration of a user under low perfusion conditions, comprising:

measuring a plurality of photoplethysmographic (PPG) signals by using a spectrophotometry-based monitoring device comprising a multichannel sensor formed from a plurality of channels, each PPG signal being measured by one of the channels;

measuring a cardio-synchronous (CV) signal by using a cardiovascular sensor of the spectrophotometry-based monitoring device; and

using a signal processor configured for;

detecting an instantaneous heart rate and determining a heart rate variability from the CV signal;

for each detected heart rate, determining projected PPG signals by projecting the measured PPG signals multiplied by a window function on a principal frequency component, and determining a magnitude of the projected PPG signals as the sum of the projected measured PPG signals;

selecting reliable projected PPG signals, wherein reliable projected PPG signals are projected PPG signals which have a magnitude at least twice the noise floor, or a coherence between the PPG signals and the principal frequency component having a value equal or above 0.7, or the phase being less than a maximal angle resulting in a linear phase relationship between the phase and a maximally elapsed time between the occurrence of the heart beat and PPG pulse wave at the sensor location;

estimating a value of said blood constituent concentration from the magnitude of said reliable projected PPG signals selected over a predetermined time period;

said window function having a window length which is adjusted at each detected heart rate according to the determined heart rate variability; and

the frequency of said principal frequency component being estimated by averaging the heart rate over the window length.

22. The method according to claim 21, wherein each of said plurality of channels comprises at least two radiation sources, each radiation source emitting radiation at a wavelength, and the wavelength of each of said radiation sources is selected in accordance with the hemoglobin-related blood constituent concentration to be estimated.