Method for measuring movements of a person wearing a portable detector

• US 10,231,628 B2
• Filed: 12/21/2007
• Issued: 03/19/2019
• Est. Priority Date: 07/02/2003
• Status: Active Grant

• Current Assignee: Commissariat a L'Energie Atomique (French Alternative Energies and Atomic Energy Commission)
• Original Assignee: Commissariat a L'Energie Atomique (French Alternative Energies and Atomic Energy Commission)
• Inventors: Guillemaud, Regis, Caritu, Yanis
• Primary Examiner(s): Towa, Rene
• Assistant Examiner(s): Nguyen, H. Q.
• Application Number:
  US11/962,944
• Publication Number:
  US 20080214963A1
• Time in Patent Office: 4,106 Days
• Field of Search: 600595, 607 19
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• 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 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/02444 Details of sensor A61B5/02427 takes precedence
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• 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 5/113 occurring during breathing
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/7214 using signal cancellation, e.g. based on input of two identical physiological sensors spaced apart, or based on two signals derived from the same sensor, for different optical wavelengths

Abstract

A process for detecting activity of a person, in which movements of the person are measured by at least one sensor attached to the person, and respective components of the movements due to external activity and due to physiological activity are separated. The process obtains a signal of the sensor, filters the signal to derive a filtered signal, the filtering including partitioning the signal of the center into a low frequency component and high frequency component, and subtracts the filtered signal from the signal of the sensor. The filtering further variably extracts portions of the high frequency component according to a criterion of either a minimal level or a minimal instability of the signal of the sensor, and the filtered signal includes the low frequency component and the extracted portions of the high frequency components.

Claims

1. A process for detecting an external activity signal and a separated physiological activity signal of a person, the process comprising:

obtaining a signal from a sensor measuring movements of a person to which the sensor is attached, the signal composed of a first component due to physiological activity of the person and a second component due to external activity of the person;

repeatedly computing a value of a criterion of either a minimal level or a minimal instability of the signal obtained from the sensor; and

filtering, in a filter, the signal from the sensor to derive a filtered signal representative of the person'"'"'s external activity, the filtering comprising a partition of the signal from the sensor into a low frequency component and a high frequency component, the filtered signal comprising the low frequency component of the signal of the sensor and a portion of the high frequency component, the portion being variable in the signal obtained from the sensor and depending, in each time portion of the filtered signal, on the value of the criterion, the portion of the high frequency component being greater when either the minimal level or the minimal instability of the signal of the sensor is reached; and

subtracting the filtered signal from the signal obtained from the sensor, to obtain the first component of the signal due to physiological activity separated from the external activity signal.

2. A process according to claim 1, wherein the portion of the high frequency component results from a variable weighting of the high frequency component according to the criterion.

3. A process according to claim 2, wherein the filtered signal is expressed by α

·

S+(1−

α

) Flp(S), in which S is the signal obtained from the sensor, Flp(S) is a low pass filtering of the signal obtained from the sensor, and a is a variable weighting coefficient associated either to the level of the signal obtained from the sensor or to the instability of the signal obtained from the sensor.

4. A process according to claim 1, wherein the criterion of a minimal instability of the signal obtained from the sensor is estimated according to inversions of direction of movements between two instants separated by a determined duration.

5. A process according to claim 1, wherein the obtaining a signal from the sensor obtains signals along X, Y, and Z axes as a function of a direction of gravity and as a function of earth'"'"'s magnetic field.

6. A process according to claim 1, further comprising determining a posture of the person, and controlling the subtracting based on the determined posture.

7. A process according to claim 6, wherein the determining the posture of the person determines whether the person is standing up, seated, or lying down.

8. A process according to claim 1, further comprising outputting the component of the signal due to physiological activity to a display device or diagnosis device external to the sensor.

9. A process for detecting an external activity signal and a separated physiological activity signal of a person, the process comprising:

obtaining a signal from a sensor measuring movements of a person to which the sensor is attached, the signal composed of a first component due to physiological activity of the person and a second component due to external activity of the person;

repeatedly computing a value of a criterion of a minimal instability of the signal obtained from the sensor; and

filtering, in a filter, the signal from the sensor to derive a filtered signal representative of the person'"'"'s external activity, the filtering comprising a partition of the signal from the sensor into a low frequency component and a high frequency component, the filtered signal comprising the low frequency component of the signal of the sensor and a portion of the high frequency component, the portion being variable in the signal obtained from the sensor and depending, in each time portion of the filtered signal, on the value of the criterion, the portion of the high frequency component being greater when the minimal instability of the signal of the sensor is reached; and

subtracting the filtered signal from the signal obtained from the sensor, to obtain the first component of the signal due to physiological activity separated from the external activity signal.

10. A process according to claim 9, wherein the portion of the high frequency component results from a variable weighting of the high frequency component according to the criterion.

11. A process according to claim 10, wherein the filtered signal is expressed by α

·

S+(1−

α

) Flp(S), in which S is the signal obtained from the sensor, Flp(S) is a low pass filtering of the signal obtained from the sensor, and a is a variable weighting coefficient associated either to the level of the signal obtained from the sensor or to the instability of the signal obtained from the sensor.

12. A process according to claim 9, wherein the criterion of a minimal instability of the signal obtained from the sensor is estimated according to inversions of direction of movements between two instants separated by a determined duration.

13. A process according to claim 9, wherein the obtaining a signal from the sensor obtains signals along X, Y, and Z axes as a function of a direction of gravity and as a function of earth'"'"'s magnetic field.

14. A process according to claim 9, further comprising determining a posture of the person, and controlling the subtracting based on the determined posture.

15. A process according to claim 14, wherein the determining the posture of the person determines whether the person is standing up, seated, or lying down.

16. A process according to claim 9, further comprising outputting the component of the signal due to physiological activity to a display device or diagnosis device external to the sensor.