WO2005086668B1 - Intelligent self-interpreting electroviscerogram system and method - Google Patents
Intelligent self-interpreting electroviscerogram system and methodInfo
- Publication number
- WO2005086668B1 WO2005086668B1 PCT/US2005/006581 US2005006581W WO2005086668B1 WO 2005086668 B1 WO2005086668 B1 WO 2005086668B1 US 2005006581 W US2005006581 W US 2005006581W WO 2005086668 B1 WO2005086668 B1 WO 2005086668B1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- signals
- organ
- analog
- filter
- digital
- Prior art date
Links
- 210000000056 organs Anatomy 0.000 claims abstract 18
- 230000003183 myoelectrical Effects 0.000 claims abstract 8
- 230000035812 respiration Effects 0.000 claims abstract 6
- 230000029058 respiratory gaseous exchange Effects 0.000 claims abstract 6
- 238000004458 analytical method Methods 0.000 claims abstract 4
- 206010003119 Arrhythmia Diseases 0.000 claims 6
- 210000002784 Stomach Anatomy 0.000 claims 5
- 238000003745 diagnosis Methods 0.000 claims 4
- 238000001914 filtration Methods 0.000 claims 4
- 206010007521 Cardiac arrhythmias Diseases 0.000 claims 3
- 206010056819 Gastric disease Diseases 0.000 claims 3
- 208000001492 Stomach Disease Diseases 0.000 claims 3
- 230000002183 duodenal Effects 0.000 claims 3
- 230000000414 obstructive Effects 0.000 claims 3
- 230000036263 tachygastria Effects 0.000 claims 3
- 210000000936 Intestines Anatomy 0.000 claims 1
- 210000003932 Urinary Bladder Anatomy 0.000 claims 1
- 230000001702 transmitter Effects 0.000 claims 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
Abstract
A method detects and interprets myoelectrical activity from an intra-abdominal organ. Electrodes (12) obtain first signals (17’) over time relating to myoelectrical activity of organ. A respiration sensor (14) obtains second signals (19’) relating to resppiration of the patient. An initial parameter range of the first and second signals is established. A processor (28) 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 (38) 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 (12) to obtain first signals (17') over time relating to myoelectrical activity of contractile, hollow internal bodily organ of a patient, providing a respiration sensor (14) to obtain, simultaneously with the first signals, second signals (19') relating to respiration of the patient, establishing an initial parameter range of the first and second signals, determining, via a processor (28), minutes when artifact occurs in both the first and second signals based on the initial parameter range of the first and second signals, determining, via the processor (28), 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 (38), the first and second signals simultaneously for a period of time after changing the condition of the patient, determining, via a processor (28), whether artifact occurs in the recorded first and second signals based on a comparison with the initial parameter range, selecting, via the processor (28), artifact free minutes of the recorded first and second signals for analysis, and analyzing, via a processor (28) and absent manual interpretation, the selected minutes to automatically determine a diagnosis of the 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 diagnosis of the condition of the organ to be one of tachygastria, bradygastria, mixed dysrhythmia, duodenal arrhythmia, obstructive gastropathy and normal.
34 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 to establish, specific to a study being undertaken, a range against which the artifact is determined.
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.
35
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 and during the subsequent steps, the method further includes determining whether a malfunction exists and if a malfunction exists, warning a user of the malfunction so that the user can correct the malfunction and continue with the method.
17. A system for detecting and interpreting myoelectrical activity from a contractile, hollow bodily organ, the system comprising: electrodes (12) constructed and arranged to obtain first analog signals (17) over time relating to myoelectrical activity of a contractile, hollow bodily organ of a patient, a respiration sensor (14) constructed and arranged to obtain, simultaneously with the first signals, second analog signals (19) relating to respiration of the patient, filtering structure (20, 22) constructed and arranged to filter the first and second analog signals, an analog to digital converter (24) constructed and arranged to convert the filtered first and second analog signals to respective first and second digital signals (17', 19"), a processing device (28) 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 automatically, and absent manual interpretation, a diagnosis of a condition of the organ, and a storage device (38) 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
37 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 automatically, and absent manual interpretation, a diagnosis of a condition of the organ, and means for storing data received from the means for receiving.
28. The system of claim 27, 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.
38
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ES05724176.2T ES2684507T3 (en) | 2004-03-08 | 2005-03-02 | Intelligent electroviscerogram system with automatic interpretation |
| EP05724176.2A EP1740093B1 (en) | 2004-03-08 | 2005-03-02 | Intelligent self-interpreting electroviscerogram system |
| KR1020067018423A KR100971341B1 (en) | 2004-03-08 | 2005-03-02 | Intelligent self-interpreting electroviscerogram system and method |
| JP2007502854A JP4783782B2 (en) | 2004-03-08 | 2005-03-02 | Intelligent self-interpreting visceral electromyogram system and method |
| IL177908A IL177908A0 (en) | 2004-03-08 | 2006-09-06 | Intelligent self-interpreting electroviscerogram system and method |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US55033304P | 2004-03-08 | 2004-03-08 | |
| US60/550,333 | 2004-03-08 | ||
| US11/067,926 US7160254B2 (en) | 2004-03-08 | 2005-03-01 | Intelligent self-interpreting electroviscerogram system and method |
| US11/067,926 | 2005-03-01 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| WO2005086668A2 WO2005086668A2 (en) | 2005-09-22 |
| WO2005086668A3 WO2005086668A3 (en) | 2006-02-23 |
| WO2005086668B1 true WO2005086668B1 (en) | 2006-04-20 |
Family
ID=34976076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2005/006581 WO2005086668A2 (en) | 2004-03-08 | 2005-03-02 | Intelligent self-interpreting electroviscerogram system and method |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US7160254B2 (en) |
| EP (1) | EP1740093B1 (en) |
| JP (1) | JP4783782B2 (en) |
| ES (1) | ES2684507T3 (en) |
| IL (1) | IL177908A0 (en) |
| WO (1) | WO2005086668A2 (en) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1888598A4 (en) * | 2005-05-11 | 2009-11-18 | Medical Technologies Unltd Inc | Apparatus for converting electromyographic (emg) signals for transference to a personal computer |
| CN100466966C (en) * | 2005-10-08 | 2009-03-11 | 周常安 | Physiological signal extracting and monitoring device and system |
| JP2012500663A (en) * | 2008-08-22 | 2012-01-12 | エル． フォーペル、マーク | Method and apparatus for disease diagnosis and screening using extremely low frequency electromagnetic fields |
| US10499829B2 (en) | 2010-11-01 | 2019-12-10 | G-Tech Medical, Inc. | Wearable wireless patches containing electrode pair arrays for gastrointestinal electrodiagnostics |
| US9474482B2 (en) * | 2010-11-01 | 2016-10-25 | G-Tech Medical, Inc. | Method for diagnosis and treatment of disorders of the gastrointestinal tract, and apparatus for use therewith |
| US9943264B2 (en) | 2012-10-10 | 2018-04-17 | G-Tech Medical, Inc. | Wearable wireless patches containing electrode pair arrays for gastrointestinal electrodiagnostics |
| US8753340B2 (en) * | 2012-03-01 | 2014-06-17 | Mark D Noar | Catheter structure and method for locating tissue in a body organ and simultaneously delivering therapy and evaluating the therapy delivered |
| US11826170B2 (en) | 2012-10-10 | 2023-11-28 | G-Tech Medical, Inc. | Artificial intelligence models for wireless patch data acquisition for gastrointestinal electrodiagnostics |
| EP3900618A1 (en) | 2014-10-17 | 2021-10-27 | G-Tech Medical, Inc. | Systems and methods for processing electromyographic signals of the gastrointestinal tract |
| US10512414B2 (en) | 2015-08-29 | 2019-12-24 | G-Tech Medical, Inc. | Apparatus and method for detecting gastrointestinal motor activity during post-operative recovery |
| EP3457920A4 (en) | 2016-05-18 | 2019-10-16 | Mark D. Noar | Method and system for predicting successful treatment methods and outcomes of bodily tissue disorders based on energy activity of the tissue |
| JP6738969B2 (en) * | 2016-09-07 | 2020-08-12 | カーディアック ペースメイカーズ， インコーポレイテッド | Bradycardia Pause Detection for Implantable Heart Monitor |
| US10751534B2 (en) | 2016-10-24 | 2020-08-25 | Boston Scientific Scimed, Inc. | Systems and methods for obesity diagnosis and/or treatment |
| US20190350483A1 (en) * | 2018-05-21 | 2019-11-21 | Mark D. Noar | Wireless Electrode Device |
| US11806161B2 (en) | 2021-06-04 | 2023-11-07 | Endosure Inc. | Method and system for monitoring internal bodily disorders by detecting and analyzing tissue frequencies |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4171696A (en) | 1978-01-30 | 1979-10-23 | Roy John E | Prevention of distortion of brainwave data due to eye movement or other artifacts |
| JPS6112969Y2 (en) * | 1979-07-30 | 1986-04-22 | ||
| US4846190A (en) * | 1983-08-23 | 1989-07-11 | John Erwin R | Electroencephalographic system data display |
| US5144554A (en) * | 1989-03-04 | 1992-09-01 | Xueshan Zhang | Apparatus for diagnosing and providing therapy for gastrointestinal diseases without causing patient discomfort and injury |
| SE464557B (en) * | 1989-07-31 | 1991-05-13 | Biolin Ab | ELECTROMYOGRAPHY SETTING AND DEVICE |
| US5301680A (en) * | 1992-12-09 | 1994-04-12 | Hygeia Biomedical Research Inc. | Apparatus and method for the diagnosis of labor |
| JP3235632B2 (en) * | 1994-06-17 | 2001-12-04 | グラム株式会社 | Apparatus for measuring electrogastrogram and electrogram and method for producing the same |
| US5623925A (en) * | 1995-06-05 | 1997-04-29 | Cmed, Inc. | Virtual medical instrument for performing medical diagnostic testing on patients |
| US5701894A (en) * | 1995-11-09 | 1997-12-30 | Del Mar Avionics | Modular physiological computer-recorder |
| US5857980A (en) * | 1997-01-06 | 1999-01-12 | Beneva, Ltd. | Method and apparatus for detecting onset of gastric dysrhythmias and imminent nausea |
| US6159147A (en) | 1997-02-28 | 2000-12-12 | Qrs Diagnostics, Llc | Personal computer card for collection of real-time biological data |
| US5827179A (en) | 1997-02-28 | 1998-10-27 | Qrs Diagnostic, Llc | Personal computer card for collection for real-time biological data |
| US5876351A (en) | 1997-04-10 | 1999-03-02 | Mitchell Rohde | Portable modular diagnostic medical device |
| US6171244B1 (en) * | 1997-12-31 | 2001-01-09 | Acuson Corporation | Ultrasonic system and method for storing data |
| JP2000000219A (en) * | 1998-06-15 | 2000-01-07 | Gram Kk | Stomach electric meter and analysis of data obtained by the same |
| JP2000259318A (en) * | 1999-03-08 | 2000-09-22 | Agency Of Ind Science & Technol | Portable myoelectric detection device |
| IL129508A (en) * | 1999-04-19 | 2006-12-31 | Medisense Technologies Interna | System for detecting smooth muscle motor activity and method therefor |
| US6351665B1 (en) * | 1999-05-07 | 2002-02-26 | Kenneth L Koch | Method and apparatus for evaluating myoelectric signals and identifying artifact |
-
2005
- 2005-03-01 US US11/067,926 patent/US7160254B2/en active Active
- 2005-03-02 ES ES05724176.2T patent/ES2684507T3/en active Active
- 2005-03-02 JP JP2007502854A patent/JP4783782B2/en not_active Expired - Fee Related
- 2005-03-02 EP EP05724176.2A patent/EP1740093B1/en not_active Not-in-force
- 2005-03-02 WO PCT/US2005/006581 patent/WO2005086668A2/en active Application Filing
-
2006
- 2006-09-06 IL IL177908A patent/IL177908A0/en active IP Right Grant
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