Device, system and method for motility measurement and analysis

• US 7,724,928 B2
• Filed: 04/11/2006
• Issued: 05/25/2010
• Est. Priority Date: 06/20/2001
• Status: Expired due to Fees

• Current Assignee: Given Imaging Limited (Medtronic Plc)
• Original Assignee: Given Imaging Limited (Medtronic Plc)
• Inventors: Gilad, Zvika, Glukhovsky, Arkady, Frisch, Mordechai, Levy, Daphna
• Primary Examiner(s): Johns; Andrew W
• Application Number:
  US11/401,328
• Publication Number:
  US 20060193505A1
• Time in Patent Office: 1,505 Days
• Field of Search: 382/100, 382/107, 382/128, 382/276, 382/286, 348/65, 600/101, 600/103, 600/117, 600/118, 600/160
• US Class Current: 382/128
• CPC Class Codes: A61B 1/00016 using wireless means
• CPC Class Codes: A61B 1/041 Capsule endoscopes for imaging
• CPC Class Codes: A61B 1/042 characterised by a proximal camera, e.g. a CCD camera
• CPC Class Codes: A61B 5/0013 Medical image data A61B1/00011, A61B6/56, A61B8/56 take precedence
• CPC Class Codes: A61B 5/06 Devices, other than using radiation, for detecting or locating foreign bodies for removing same A61B17/50 ; determining position of probes within or on the body of the patient
• CPC Class Codes: A61B 5/065 Determining position of the probe employing exclusively positioning means located on or in the probe, e.g. using position sensors arranged on the probe
• CPC Class Codes: A61B 5/073 Intestinal transmitters

Abstract

A device, system and method for motility measurement and analysis. For example, a system includes a processor to determine contractile activity within a body lumen based on an analysis of data received from an autonomous in-vivo device.

Claims

1. A system comprising:

a processor to determine contractile activity within a body lumen based on an analysis of data received from an autonomous in-vivo device;

wherein said processor calculates a velocity of said in-vivo device within a pre-defined period of time, identifies a pattern in a plurality of calculated velocities, and determines said contractile activity based on said pattern of calculated velocities.

2. The system of claim 1, wherein said processor is to determine said contractile activity based on an analysis of localization data of said in-vivo device.

3. The system of claim 1, wherein said processor is to calculate a displacement of said in-vivo device within a pre-defined period of time and to determine said contractile activity based on said displacement.

4. The system of claim 3, wherein said processor is to determine a low contractile activity based on a small displacement of said in-vivo device within said pre-defined period of time.

5. The system of claim 1, wherein said processor is to determine said contractile activity based on a change of said velocity within said pre-defined period of time.

6. The system of claim 1, wherein said in-vivo device comprises a swallowable capsule.

7. The system of claim 1, wherein said processor is to determine said contractile activity based on an analysis of at least one image captured by said in-vivo device.

8. The system of claim 7, wherein said processor is to determine said contractile activity based on a brightness level of said at least one image.

9. The system of claim 1, wherein said processor is to determine said contractile activity based on modulation of light intensity of a plurality of images acquired by said in-vivo device.

10. A system comprising:

a processor to determine contractile activity within a body lumen based on an analysis of data received from an autonomous in-vivo device, wherein said processor identifies a pattern in localization data of said in-vivo device and determines said contractile activity based on said pattern.

11. A system comprising:

a processor to determine contractile activity within a body lumen based on an analysis of data received from an autonomous in-vivo device, wherein said processor calculates localization data of said in-vivo device based on a Radio Frequency signal received from said in-vivo device and determines said contractile activity based on an analysis of localization data of said in-vivo device.

12. A method comprising:

receiving data from an autonomous in-vivo device, said data including localization data;

identifying a pattern in said localization data; and

determining contractile activity within a body lumen based on an analysis of said pattern of localization data of said in-vivo device.

13. The method of claim 12, wherein determining comprises:

calculating a displacement of said in-vivo device within a pre-defined period of time; and

determining said contractile activity based on said displacement.

14. The method of claim 12, comprising determining said contractile activity based on an analysis of at least one image captured by said in-vivo device.

15. A method comprising:

receiving data from an autonomous in-vivo device;

calculating a velocity of said in-vivo device within a pre-defined period of time;

identifying a pattern in a plurality of calculated velocities; and

determining contractile activity within a body lumen based on said pattern of calculated velocities.

16. The method of claim 15, further comprising calculating a plurality of velocities of said in-vivo device.