Portable detector for measuring movements of a person wearing the detector, and method

• US 20050027216A1
• Filed: 06/30/2004
• Published: 02/03/2005
• Est. Priority Date: 07/02/2003
• Status: Abandoned Application

• Current Assignee: Commissariat a L'Energie Atomique (AES Corporation)
• Original Assignee: Commissariat a L'Energie Atomique (AES Corporation)
• Inventors: Guillemaud, Regis, Caritu, Yanis
• Application Number:
  US10/879,303
• Publication Number:
  US 20050027216A1
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 2562/166 the sensor is mounted on a specially adapted printed circuit board
• 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 5/1116 Determining posture transitions
• 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

Abstract

This detection device comprises processing means (6) for distinguishing the movements of a person wearing a detector due to an external activity from movements due to his physiological activity. Movement sensor signals (4, 5) are filtered in different ways. The external activity is estimated and a subtraction gives the results for the physiological activity. Special processing is done to take account of exceptional states of the activity, such as sudden movement variations. Results can also be improves by discerning the type of activity being performed by the wearer. Finally, it is advantageous if several different sensors measure movements in different directions and if the most important measurements are chosen.

Claims

1. ) Portable detector (1) comprising at least one sensor (4, 5) collecting a movement signal from a person (2) wearing the detector, characterized in that it comprises signal processing means (6) for distinguishing a component of the signal due to an external activity of the wearer and at least one component of the signal due to a physiological activity of the wearer.

2. ) Detector according to claim 1, characterized in that it comprises a filter receiving the movement signal, to estimate the component due to external activity, and a subtracting module (17), receiving the movement signal at a positive terminal and the signal output from the filter (16) at a negative terminal to estimate the component due to the physiological activity.

3. ) Detector according to either claim 1 or 2, characterized in that it comprises an invalidation decision module (15) for estimating the component due to the physiological activity based on a criterion that depends on the external activity component.

4. ) Detector according to any one of claims 1 to 3, characterized in that it comprises three sensors (4 or 5) collecting three perpendicular movement signals of the person, including one forward movement, one sideways movement and one upward movement.

5. ) Detector according to any one of claims 1 to 4, characterized in that it comprises several sensors collecting corresponding movement signals including magnetometers, a wearer posture estimating module (14), and a sensor selection means to select some movement signals, that will be applied to processing means, and discard other movement signals, as a function of the wearer'"'"'s posture.

6. ) Detector according to claim 2, characterized in that the filter is non-stationary.

7. ) Fall sensor characterized in that it comprises a detector according to any one of claims 1 to 6.

8. ) Process for detecting the activity of a person, characterized in that it consists of measuring the movements of the person, and separating movements due to external activity from movements due to a physiological activity.

9. ) Process according to claim 8, characterized in that it includes filtering of a signal measured to estimate the movements due to the external activity and subtraction of the measured signal for the signal resulting from filtering to estimate the movements due to physiological activity.