METHOD AND SYSTEM FOR MONITORING OXYGENATION LEVELS OF A COMPARTMENT FOR DETECTING CONDITIONS OF A COMPARTMENT SYNDROME

• US 20170027500A1
• Filed: 04/01/2016
• Published: 02/02/2017
• Est. Priority Date: 05/07/2009
• Status: Abandoned Application

• Current Assignee: J&m Shuler, Inc.
• Original Assignee: J&m Shuler, Inc.
• Inventors: SHULER, MICHAEL SIMMS
• Application Number:
  US15/088,242
• Publication Number:
  US 20170027500A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/082 Evaluation by breath analysis, e.g. determination of the chemical composition of exhaled breath A61B5/083, A61B5/091 take precedence
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/413 Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant
• CPC Class Codes: A61B 5/416 the spleen
• CPC Class Codes: A61B 5/4504 Bones A61B5/4547 takes precedence
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/742 : using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 : Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

A method and system for continually monitoring oxygenation levels in real-time in compartments of an animal limb, such as in a human leg or a human thigh or a forearm, can be used to assist in the diagnosis of a compartment syndrome. The method and system can include one or more near infrared compartment sensors in which each sensor can be provided with a compartment alignment mechanism and a central scan depth marker so that each sensor may be precisely positioned over a compartment of a living organism. The method and system may comprise hardware or software (or both) may adjust one or more algorithms based on whether tissue being monitored was traumatized or is healthy. The method and system can also monitor the relationship between blood pressure and oxygenation levels and activate alarms based on predetermined conditions relating to the oxygenation levels or blood pressure or both.

Claims

1-20. -20. (canceled)

21. A method for automatically detecting ischemia in a human body with a computing device, comprising:

automatically monitoring oxygenation levels of damaged tissue of the human body in a continuous manner with the computing device coupled to a non-invasive compartment sensor;

automatically monitoring oxygenation levels of healthy tissue of the human body with the computing device coupled to a non-invasive healthy tissue sensor in a continuous manner, the non-invasive healthy tissue sensor detecting systemic perfusion of the human body from the healthy tissue; and

activating an alarm module with the computing device when oxygenation levels of the non-invasive damaged tissue sensor start decreasing in value compared to the oxygenation levels of the non-invasive healthy tissue sensor for the healthy tissue.

22. The method of claim 21, wherein the damaged tissue comprises a compartment of the human body.

23. The method of claim 21, further comprising:

automatically monitoring blood pressure of the human body in a continuous manner with the computing device coupled to a non-invasive blood pressure device, the blood pressure comprising diastolic and systolic blood pressure values.

24. The method of claim 23, further comprising activating the alarm module when both the blood pressure of the human body comprising the diastolic and systolic blood pressure values decreases and when oxygenation levels of the non-invasive damaged tissue sensor start decreasing in value compared to the oxygenation levels of the non-invasive healthy tissue sensor for the healthy tissue.

25. The method of claim 21, further comprising displaying oxygenation levels of the damaged tissue on a display device;

displaying one or more visuals on the display device comprising anatomical locations in which to position the non-invasive damaged tissue sensor to monitor the damaged tissue; and

receiving confirmation with the computing device that the non-invasive damaged tissue sensor is ready.

26. The method of claim 24, further comprising displaying diastolic and systolic blood pressure values simultaneously with the oxygenation levels of the compartment on a display device.

28. An electronic system for automatically detecting ischemia in a human body, the electronic system comprising:

a non-invasive damaged tissue sensor configured for automatically detecting oxygenation levels of damaged tissue of the human body in a continuous manner;

a non-invasive healthy tissue sensor configured for automatically detecting oxygenation levels of healthy tissue of the human body in a continuous manner; and

a computing device coupled to the non-invasive damaged tissue sensor and the non-invasive healthy tissue sensor, wherein the computing device is configured for;

monitoring oxygenation levels of the damaged tissue with the damaged tissue sensor;

monitoring oxygenation levels of the healthy tissue with the non-invasive healthy tissue sensor that is configured for automatically detecting oxygenation levels of the healthy tissue; and

activating an alarm device when the oxygenation levels of the non-invasive damaged tissue sensor start decreasing in value compared to the oxygenation levels of the non-invasive healthy tissue sensor.

29. The system of claim 28, further comprising:

a non-invasive blood pressure device configured for automatically sensing blood pressure of the human body in a continuous manner, the blood pressure comprising diastolic and systolic blood pressure values.

30. The system of claim 29, wherein the computing device is configured for monitoring the blood pressure of the human body with the non-invasive blood pressure device.

31. The system of claim 30, wherein the computing device determines if the blood pressure of the human body comprising the diastolic and systolic blood pressure values decreases when the oxygenation levels of the non-invasive damaged tissue sensor start decreasing in value.

32. The system of claim 28, further comprising a display device configured for displaying the oxygenation levels.

33. The system of claim 29, further comprising a display device configured for displaying the diastolic and systolic blood pressure values of the human body.

34. The system of claim 28, wherein the display device is further configured for displaying one or more visuals comprising anatomical locations in which to position the non-invasive damaged tissue sensor.

35. The system of claim 34, wherein the anatomical locations correspond to locations on one of a leg and arm of the human body.

36. The system of claim 28, further comprising an array of non-invasive damaged tissue sensors coupled to the computing device, wherein each non-invasive damaged tissue sensor has a different optical wavelength relative to a neighboring non-invasive damaged tissue sensor in order to provide scans of different portions of the human body.

37. The system of claim 28, further comprising at least one of:

a respiration sensor, a pH level sensor, a temperature sensor, a medicine delivery system, a pulse/oxygenation sensor, a heart rate sensor, a ventilation sensor, an ultrasound sensor, an altitude sensor, a tissue firmness sensor, and an intramuscular pressure sensor.

38. The system of claim 32, wherein the display device comprises a computer monitor.

39. The system of claim 28, wherein the computing device is further configured for receiving a pigment value for skin of the human body and calculating an offset value for monitoring the oxygenation levels based on the pigment value.

40. The system of claim 28, wherein the non-invasive damaged tissue sensor comprises a near infrared sensing element.