PORTABLE DEVICE WITH MULTIPLE INTEGRATED SENSORS FOR VITAL SIGNS SCANNING

• US 20150313484A1
• Filed: 05/05/2015
• Published: 11/05/2015
• Est. Priority Date: 01/06/2014
• Status: Abandoned Application

• Current Assignee: Scanadu Incorporated
• Original Assignee: Scanadu Incorporated
• Inventors: Burg, Bernard, Clarysse, Ivo, De Brouwer, Walter, Woolsey, Brandon, Sirimitr, Avita
• Application Number:
  US14/704,961
• Publication Number:
  US 20150313484A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0462 Apparatus with built-in sensors
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02433 for infrared radiation
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/1135 by monitoring thoracic expansion
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/347 Detecting the frequency distribution of signals
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6826 Finger
• 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 5/7246 : using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/725 : using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7257 : using Fourier transforms
• CPC Class Codes: A61B 7/003 : Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 : Electric stethoscopes microphones, acoustic transducers therefor H04R

Abstract

In one embodiment of the invention, a portable device with multiple integrated sensors for vital signs scanning and method of using said device is disclosed. The portable personal scanning device includes multiple sensors such as a plurality of ECG, thermometer, PPG, accelerometer, and microphone for determining a user'"'"'s vital signs. The method includes concurrently scanning with one or more sensors, validating and enhancing the results of each sensor scan with other concurrent sensor scan and patient interaction models, processing the sensor scans separately or in combination to extract user'"'"'s vital signs, validating the vital signs extracted by comparison to physiological models, and fusing the similar vital signs extracted from more than one process according to a determination of the measure of quality of the process that produced the vital sign.

Claims

1. A portable vital signs scanner comprising:

a hollow housing;

a base printed circuit board (PCB) mounted in the housing and having a plurality of wire traces;

a processor mounted to the main PCB coupled to one or more of the plurality of wire traces;

a plurality of sensors coupled to the processor to concurrently capture sensor data, the plurality of sensors including

an electrocardiogram (ECG) sensor having a first electrode located at a front side of the housing and a second electrode located at a bottom side of the housing,

one or more photoplethysmogram (PPG) sensors located at the front side of the housing near the first electrode of the ECG sensor, the one or more PPG sensors to capture PPG data, and

a thermometer located in the front side of the housing near the first electrode; and

a storage device coupled to the processor, the storage device to store instructions for execution by the processor to concurrently capture a plurality of different sensor data with the plurality of sensors.

2. The portable vital signs scanner of claim 1, wherein the plurality of sensors further include

an accelerometer mounted to the housing, the accelerometer to capture motion of the scanner.

3. The portable vital signs scanner of claim 2, wherein the storage device stores further instructions for execution by the processor to

analyze the captured motion of the scanner to determine noise being coupled to one or more of the plurality of sensors and the quality of sensor data captured by the one or more of the plurality of sensors.

4. The portable vital signs scanner of claim 2, wherein the storage device stores further instructions for execution by the processor to

reduce the noise from the signal data that is being coupled to the one or more of the plurality of sensors due to the captured motion.

5. The portable vital signs scanner of claim 1, wherein the plurality of sensors further include

a microphone located under an opening in the housing, the microphone to capture sounds around the scanner.

6. The portable vital signs scanner of claim 4, wherein the storage device stores further instructions for execution by the processor to

analyze the captured sounds around the scanner to determine noise being coupled to one or more of the plurality of sensors and the quality of sensor data captured by the one or more of the plurality of sensors.

7. The portable vital signs scanner of claim 6, wherein the storage device stores further instructions for execution by the processor to

reduce the noise from the signal data that is being coupled to the one or more of the plurality of sensors.

8. The portable vital signs scanner of claim 7, wherein

some signal noises are shared across the plurality of sensors due to at least one of:

physical locations of the plurality of sensors;

or

a mechanical link in the hollow housing and shared among the plurality of sensors.

9. The portable vital signs scanner of claim 2, wherein the plurality of sensors further include

a microphone located under an opening in the housing, the microphone to capture sounds around the scanner.

10. The portable vital signs scanner of claim 9, wherein the storage device stores further instructions for execution by the processor to

analyze the captured sounds around the scanner and the captured motion of the scanner to determine noise being coupled to one or more of the plurality of sensors and the quality of sensor data captured by the one or more of the plurality of sensors;

and

reduce the noise from the signal data that is being coupled to the one or more of the plurality of sensors.

11. A non-invasive method of measuring vital signs with a portable multi-sensor vital signs scanner, the non-invasive method of measuring vital signs comprising:

during a first measurement period, concurrently scanning for ECG data by forming an electronic circuit with a user'"'"'s body by contacting a first electrode of the scanner to the user'"'"'s temple and a second electrode of the scanner to the user'"'"'s finger/thumb holding the scanner;

during the first measurement period, concurrently scanning for PPG data with a PPG sensor of the scanner placed near the user'"'"'s temple;

during the first measurement period, concurrently scanning for temperature data with a temperature sensor of the scanner placed near the user'"'"'s temple; and

determining a plurality of vitals signs for the user in response to the ECG data, the PPG data, and the temperature data obtained from the concurrent scanning during the first measurement period.

12. The non-invasive method of claim 11, wherein

at least one vital sign is determined for the user by fusing the ECG data and the PPG data together.

13. The non-invasive method of claim 11, further comprising

repeating the concurrent scanning for ECG data, PPG data, and temperature data for at least one or more measurement periods;

determining a measure of quality of the scanned sensor data for at least two or more measurement periods; and

wherein the determining of the plurality of vitals signs for the user is further in response to fusing results of two or more concurrent scans together and weighting the results of the two or more concurrent scans in response to the measure of quality of the scanned sensor data for the at least two or more measurement periods.

14. The non-invasive method of claim 11, further comprising:

during a second measurement period, determining a measure of chest movement of the user breathing with an accelerometer of the scanner placed near the user'"'"'s chest;

during the second measurement period, recording the user'"'"'s respiration sounds with a microphone of the scanner placed near the user'"'"'s chest; and

determining a vital sign of respiration rate in response to the measure of chest movement and the recording of the user'"'"'s respiration sounds captured during the second measurement period.

15. The non-invasive method of claim 11, further comprising:

prior to the determining of the plurality of vitals signs,

validating the PPG data, the ECG data, and the temperature data captured by the concurrent scanning with one or more patient interaction models.

16. The non-invasive method of claim 11, further comprising:

prior to the determining of the plurality of vitals signs,

validating the PPG data, the ECG data, and the temperature data captured by the concurrent scanning with physiological models.

17. The non-invasive method of claim 15, further comprising:

prior to the determining of the plurality of vitals signs,

validating the PPG data, the ECG data, and the temperature data captured by the concurrent scanning with physiological models.

18. The non-invasive method of claim 11, further comprising:

prior to the determining of the plurality of vitals signs,

detecting noise in one scanned sensor data, and

reducing noise in another scanned sensor data in response to the one scanned sensor data.

19. The non-invasive method of claim 11, wherein the determining a plurality of vitals signs comprises:

applying signal processing to the ECG signal and the PPG signal, including a correlation, to obtain values that include a pulse width transit time (PWTT) result;

applying additional signal processing to the values that include the PWTT, wherein the additional signal processing includes applying a regression algorithm to the values that include the PWTT; and

generating a diastolic blood pressure and a systolic blood pressure based on a result of the regression algorithm.

20. The non-invasive method of claim 19, wherein the signal processing of the ECG signal and the PPG signal comprises:

extracting features from the ECG signal, wherein extracted features include ECG peaks;

extracting features from the PPG signal, wherein extracted features include PPG peaks;

calculating a time difference between the ECG peaks and the PPG peaks representing a second PWTT value; and

merging the second PWTT value with the first PWTT value to improve the resultant PWTT value, the generated systolic blood pressure value, and the generated systolic blood pressure value.

21. A non-invasive method of measuring vital signs with a portable multi-sensor vital signs scanner, the non-invasive method of measuring vital signs comprising:

training a user in usage of the portable multi-sensor vital signs scanner;

during a first measurement period, concurrently scanning for a plurality of vital signs data with the vital signs scanner against a user'"'"'s temple in a first usage configuration; and

during a second measurement period, concurrently scanning for a plurality of vital signs data with the vital signs scanner adjacent a user'"'"'s chest in a second usage configuration.

22. The non-invasive method of claim 21, further comprising:

signal processing a plurality of sensor signals captured during the first measurement period with a signal processing model to reduce noise and to obtain a value for one or more vital signs.

23. The non-invasive method of claim 21, further comprising:

signal processing the plurality of sensor signals captured during the first measurement period with a first interaction model to correct and improve the vital signs measurement results in response to the user interaction with the vital signs scanner.

24. The non-invasive method of claim 23, further comprising:

comparing the vital signs measurement results with a physiological model to validate the vital signs measurement results.

25. The non-invasive method of claim 21, further comprising:

signal processing the plurality of sensor signals captured during the second measurement period with a second interaction model to correct and improve the vital signs measurement results in response to the user interaction with the vital signs scanner.

26. The non-invasive method of claim 25, further comprising:

comparing the vital signs measurement results with a physiological model to validate the vital signs measurement results.

27. The non-invasive method of claim 21, further comprising:

signal processing a sensor signal captured by a first sensor during the first measurement period with a first signal processing model to reduce noise and to obtain a first value for a vital sign;

signal processing the sensor signal captured the first sensor during the first measurement period with a second signal processing model to reduce noise and to obtain a second value for the vital sign; and

fusing the first value and the second value of the vital sign together to generate a vital sign output value for the vital sign.

28. The non-invasive method of claim 27, wherein

the vital sign is pulse width transit time (PWTT).

29. A non-invasive method of measuring vital signs with a portable vital signs scanner, the non-invasive method of measuring vital signs comprising:

receiving a chest sound signal captured from a microphone pressed against a chest of a user, wherein the microphone is coupled to the portable vital signals scanner;

removing some noise from the chest sound signal by executing a signal processing algorithm having a fast Fourier transform/inverse fast Fourier transform (FFT/IFFT); and

extracting an initial respiration rate from the chest sound signal that has some noise removed.

30. The non-invasive method of claim 29, further comprising:

identifying a noise signal captured from the microphone pressed against the chest of the user, wherein the noise signal is classified into one or more categories of a microphone-patient interaction model;

removing more noise from the chest sound signal by removing the identified noise signal; and

extracting an intermediate respiration rate the chest sound signal that has more noise removed.

31. The non-invasive method of claim 30, wherein the one or more categories of the microphone-patient interaction model include at least one of:

vesicular;

crackles;

wheeze;

rhonchi;

bronchial;

pleural rubs;

or bronchovesicular.

32. The non-invasive method of claim 30, further comprising:

receiving an electrocardiogram (ECG) signal captured from an ECG sensor;

generating a physiological respiration model based on the electrocardiogram (ECG) signal; and

comparing the physiological respiration model to the intermediate respiration rate to check for physiological validity of the intermediate respiration rate.

33. The non-invasive method of claim 32, further comprising:

determining the intermediate respiration rate is valid based on the comparing of the physiological respiration model with the intermediate respiration rate;

accepting the intermediate respiration rate as an overall respiration rate.

35. The non-invasive method of claim 32, wherein the signal processing of the ECG signal comprises:

applying a finite impulse response (FIR) or fast Fourier transform/inverse fast Fourier transform (FFT/IFFT) filter;

applying a band pass filter; and

applying a peak detection algorithm.

36. A non-invasive method of measuring vital signs with a portable vital signs scanner, the non-invasive method of measuring vital signs comprising:

receiving a chest motion signal captured from an accelerometer pressed against a chest of a user, wherein the accelerometer is coupled to the portable vital signals scanner;

removing some noise from the chest motion signal by applying a fast Fourier transform/inverse fast Fourier transform (FFT/IFFT);

detecting peaks in the chest motion signal by using an average peak detector; and

extracting an initial respiration rate from the chest motion signal that has some noise removed, wherein the extracting of the initial respiration rate includes using the detected peaks.

37. The non-invasive method of claim 36, further comprising:

identifying a noise signal captured from the accelerometer pressed against the chest of the user, wherein the noise signal is part of an accelerometer-patient interaction model;

removing more noise from the chest motion signal by removing the identified noise signal;

calculating peak-to-peak times intervals from the detected peaks of the chest motion signal that has more noise removed; and

extracting an intermediate respiration rate from the chest motion signal that has more noise removed, wherein the extracting of the intermediate respiration rate includes using the peak-to-peak time intervals.

38. The non-invasive method of claim 37, further comprising:

receiving an electrocardiogram (ECG) signal captured from an ECG sensor;

generating a physiological respiration model based on the electrocardiogram (ECG) signal; and

comparing the physiological respiration model to the intermediate respiration rate to check for physiological validity of the intermediate respiration rate.

39. The non-invasive method of claim 38, further comprising:

determining the intermediate respiration rate is valid based on the comparing of the physiological respiration model to the intermediate respiration rate;

accepting the intermediate respiration rate as an overall respiration rate.

40. A non-invasive method of measuring vital signs with a portable multi-sensor vital signs scanner, the non-invasive method of measuring vital signs comprising:

receiving a chest sound signal captured from a microphone pressed against a chest of a user, wherein the microphone is coupled to the portable vital signals scanner;

receiving a chest motion signal captured from an accelerometer pressed against a chest of a user, wherein the accelerometer is coupled to the portable vital signals scanner;

removing some noise from the chest sound signal by executing a signal processing algorithm having a fast Fourier transform/inverse fast Fourier transform (FFT/IFFT); and

removing some noise from the chest motion signal by applying a fast Fourier transform/inverse fast Fourier transform (FFT/IFFT);

extracting an initial respiration rate from a combination of the chest sound signal and the chest motion signal, wherein the extracting of the initial respiration rate includes using the detected peaks.

41. The non-invasive method of claim 40, wherein

some signal noises are shared across the microphone and the accelerometer due to at least one of:

physical locations of the plurality of the microphone and the accelerometer;

or

a mechanical link in the hollow housing and shared among the microphone and the accelerometer.

42. A non-invasive method of measuring vital signs with a portable vital signs scanner, the non-invasive method of measuring vital signs comprising:

sensing a temperature captured from a thermometer pressed against a temple of a user, wherein the thermometer is coupled to the portable vital signals scanner;

removing some noise from the temperature by using a signal processing module;

extracting an initial temperature from the temperature that has some noise removed.

43. The non-invasive method claim 42, further comprising:

identifying a noise signal captured from the thermometer pressed against the temple of the user, wherein the noise signal is classified into one or more categories of a thermometer-patient interaction model;

removing more noise from the temperature by removing the identified noise signal; and

extracting an intermediate temperature based on the temperature that has more noise removed.

44. The non-invasive method claim 43, further comprising:

receiving an electrocardiogram (ECG) signal captured from an ECG sensor;

generating a temperature physiological model based on a core temperature range of a human being; and

comparing the temperature physiological model to the intermediate temperature to check for physiological validity of the intermediate temperature.

45. The non-invasive method claim 44, further comprising:

determining the intermediate temperature is valid based on the comparing of the temperature physiological model with the intermediate temperature;

accepting the intermediate temperature as an overall temperature.