Intelligent self-interpreting electroviscerogram system and method

• US 20050215917A1
• Filed: 03/01/2005
• Published: 09/29/2005
• Est. Priority Date: 03/08/2004
• Status: Active Grant

• Current Assignee: Endosure Incorporated
• Original Assignee: Mark Noar
• Inventors: Noar, Mark
• Granted Patent: US 7,160,254 B2
• Time in Patent Office: Days
• US Class Current: 600/546
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/392 Detecting gastrointestinal contractions

Abstract

A method detects and interprets myoelectrical activity from an intra-abdominal organ. Electrodes obtain first signals over time relating to myoelectrical activity of organ. A respiration sensor obtains second signals relating to respiration of the patient. An initial parameter range of the first and second signals is established. A processor determines minutes when artifact occurs in both the first and second signals based on the initial parameter range. It is then determined whether there are artifact free minutes of the first and second signals. A condition of the patient is changed after determining that there are sufficient artifact free minutes. The first and second signals are recorded in memory simultaneously for a period of time after changing the condition of the patient. A processor determines whether artifact occurs in the recorded first and second signals. Artifact free minutes of the recorded first and second signals are selected for analysis. Via the processor, the selected minutes are analyzed to automatically determine a condition of the organ.

Claims

1. A method of detecting and interpreting myoelectrical activity from a contractile, hollow internal bodily organ, the method including:

using electrodes to obtain first signals over time relating to myoelectrical activity of contractile, hollow internal bodily organ of a patient,

providing a respiration sensor to obtain, simultaneously with the first signals, second signals relating to respiration of the patient,

establishing an initial parameter range of the first and second signals,

determining, via a processor, minutes when artifact occurs in both the first and second signals based on the initial parameter range of the first and second signals,

determining whether there are artifact free minutes of the first and second signals,

changing a condition of the patient after determining that there are sufficient artifact free minutes,

recording, in memory, the first and second signals simultaneously for a period of time after changing the condition of the patient,

determining, via a processor, whether artifact occurs in the recorded first and second signals based on a comparison with the initial parameter range,

selecting artifact free minutes of the recorded first and second signals for analysis, and

analyzing, via the computer, the selected minutes to automatically determine a condition of the organ.

2. The method of claim 1, wherein the step of changing a condition of the patient includes establishing a water load in the stomach of the patient.

3. The method of claim 2, wherein the organ is the stomach and the step of analyzing includes determining a condition of the organ to be one of tachygastria, bradygastria, mixed dysrhythmia, duodenal arrhythmia, obstructive gastropathy and normal.

4. The method of claim 1, wherein the organ is one of the stomach, bladder and intestine.

5. The method of claim 1, wherein the first signals are filtered prior to the step of determining minutes when artifact occurs.

6. The method of claim 5, wherein the first signals are converted from analog signals to digital signals, the filtering includes using at least one analog filter with a certain cut-off frequency range to filter the analog signal and using a digital filter, with a cut-off frequency range that is narrower than the certain cut-off frequency range, to filter the digital signals.

7. The method of claim 6, wherein the digital filter is provided on a computer readable medium.

8. The method of claim 1, wherein the first signals are amplified by an amplifier and a controller is associated with the amplifier, the method further includes a calibration step wherein the controller sends a calibration signal to the amplifier with the processing device analyzing a waveform based on the calibration signal.

9. The method of claim 8, wherein the calibration signal is a sine wave of a certain frequency within a pass band of a filter that filters the first signals.

10. The method of claim 8, wherein the calibration signal is at a frequency within a frequency range that that defines one of tachygastria, bradygastria, mixed dysrhythmia, duodenal arrhythmia, obstructive gastropathy and normal condition of the stomach.

11. The method of claim 8, wherein the calibration signal simulates a first signal.

12. The method of claim 1, wherein the initial parameter range is a voltage parameter range.

13. The method of claim 1, wherein the step of determining minutes when artifact occurs includes monitoring a ten-minute period of time.

14. The method of claim 1, wherein the step of selecting artifact free minutes includes selecting consecutive artifact free minutes.

15. The method of claim 1, wherein the memory is a storage device associated with the processing device and the method further includes storing obtained data associated with the organ in the storage device.

16. The method of claim 1, wherein prior to the establishing step, the method further includes performing a test to determine whether a malfunction exists and if a malfunction exists, warning a user of the malfunction so that the user can correct the malfunction.

17. A system for detecting and interpreting myoelectrical activity from a contractile, hollow bodily organ, the system comprising:

electrodes constructed and arranged to obtain first analog signals over time relating to myoelectrical activity of a contractile, hollow bodily organ of a patient,

a respiration sensor constructed and arranged to obtain, simultaneously with the first signals, second analog signals relating to respiration of the patient,

filtering structure constructed and arranged to filter the first and second analog signals,

an analog to digital converter constructed and arranged to convert the filtered first and second analog signals to respective first and second digital signals,

a processing device constructed and arranged to receive the first and second digital signals, the processing device being configured for executing instructions for

     1) determining whether artifact occurs in the first and second digital signals based on an analysis of the first and second digital signals, and

     2) analyzing artifact free minutes of the first and second signals thereby determining a condition of the organ, and

a storage device associated with the processing device constructed and arranged to store data received from the processing device.

18. The system of claim 17, wherein the organ is the stomach and the sequence of instructions includes instructions for determining a condition of the organ to be one of tachygastria, bradygastria, mixed dysrhythmia, duodenal arrhythmia, obstructive gastropathy, and normal.

19. The system of claim 17, wherein the filtering structure includes analog filter structure constructed and arranged to filter the analog signals that are within a certain frequency range, the system further comprising a digital filter constructed and arranged to filter the digital signals that are within a frequency range that is narrower than the certain frequency range.

20. The system of claim 19, wherein the analog filter structure includes a high pass analog filter and a low pass analog filter.

21. The system of claim 17, further comprising an amplifier constructed and arranged to amplify the first analog signals and a controller associated with the amplifier such that the controller provides a calibration control signal to the amplifier, the processing device including a processor constructed and arranged to analyze a waveform based on the calibration control signal.

22. The system of claim 21, wherein the filter structure, the analog to digital converter and the processing device are part of a module, the module communicating with the storage device via one of a universal serial bus (USB) connection and a wireless signal transmitter.

23. The system of claim 17, wherein the storage device is a digital memory card.

24. The system of claim 17, further comprising a battery to power components of the system.

25. The system of claim 17, wherein the processing device is a portable, hand-held device.

26. The system of claim 17, wherein the processing device is a host computer.

27. A system for detecting and interpreting myoelectrical activity from a contractile, hollow bodily organ, the system comprising:

means for obtaining first analog signals over time relating to myoelectrical activity of a contractile, hollow bodily organ of a patient,

means for obtaining, simultaneously with the first signals, second analog signals relating to respiration of the patient,

means for filtering filter the first and second analog signals,

means for converting the filtered first and second analog signals to respective first and second digital signals,

means for receiving the first and second digital signals, determining whether artifact occurs in the first and second digital signals based on an analysis of the first and second digital signals, and for analyzing artifact free minutes of the first and second signals thereby determining a condition of the organ, and

means for storing data received from the means for receiving.

28. The system of claim 28, wherein the means for receiving is a portable, hand-held processing device, and the means for storing is a digital memory card separate from the processing device.