OPTICAL SENSOR FOR DETECTING INFECTION AND OTHER ANOMALOUS CONDITIONS ASSOCIATED WITH CATHETER SYSTEMS

• US 20090149776A1
• Filed: 12/04/2008
• Published: 06/11/2009
• Est. Priority Date: 12/05/2007
• Status: Abandoned Application

• Current Assignee: Scott C. Adams
• Original Assignee: Scott C. Adams
• Inventors: Adams, Scott C.
• Application Number:
  US12/328,750
• Publication Number:
  US 20090149776A1
• Time in Patent Office: Days
• US Class Current: 600/584
• CPC Class Codes: A61B 2560/0276 Determining malfunction
• CPC Class Codes: A61B 2562/0238 Optical sensor arrangements for performing transmission measurements on body tissue
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/20 for measuring urological functions restricted to the evaluation of the urinary system A61B5/4375 takes precedence
• CPC Class Codes: A61B 5/4261 Evaluating exocrine secretion production A61B3/101 takes precedence
• CPC Class Codes: A61M 1/28 Peritoneal dialysis ; Other peritoneal treatment, e.g. oxygenation
• CPC Class Codes: A61M 1/285 Catheters therefor
• CPC Class Codes: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/3306 Optical measuring means
• CPC Class Codes: A61M 2205/331 used as turbidity change detectors, e.g. for priming-blood or plasma-hemoglubine-interface detection
• CPC Class Codes: A61M 25/0017 specially adapted for long-term hygiene care, e.g. urethral or indwelling catheters to prevent infections

Abstract

A device and method are provided to monitor for early detection of anomalous conditions in a discharge fluid through a catheter tube. A liquid sensor is configured to detect the presence of liquid in the catheter tube. A unique photo-Darlington turbidity sensor may be configured to monitor turbidity of a discharge liquid exiting through the catheter tube. A color sensor may be configured to monitor color of the discharge liquid exiting through the catheter tube. A processing circuit may be coupled to the liquid sensor, photo-Darlington turbidity sensor, and color sensor and configured to determine whether an anomalous condition exists based on readings provided by the liquid sensor, photo-Darlington turbidity sensor, and/or color sensor. A warning device provides an alert if an anomalous condition is detected.

Claims

1. An apparatus for detecting anomalous conditions associated with effluents of catheter systems, comprising:

a refractive liquid sensor to sense the presence of the effluent in a catheter system;

a color sensor adapted to sense a color of the effluent; and

a clarity sensor adapted to sense a clarity of the effluent.

2. The apparatus of claim 1, wherein if the liquid sensor detects the presence of the effluent, color data collected by the color sensor and clarity data collected by the clarity sensor is considered valid, otherwise such data is ignored.

3. The apparatus of claim 1, wherein the liquid sensor includes a light source and a light sensor.

4. The apparatus of claim 1, wherein the liquid sensor detects a difference in displacement of the effluent by refraction when the effluent is present versus when it is absent.

5. The apparatus of claim 1, wherein the clarity sensor includes a sensitive light scattering detector to detect light scattered from a light source passing through the effluent at a right and oblique angle in order to determine the clarity of the effluent.

6. The apparatus of claim 5, wherein the dynamic range of the clarity sensor is between one (1) and five hundred (500) Nephelometric Turbidity Units (NTU) and a resolution sensitivity of at least five (5) NTU.

7. The apparatus of claim 6, wherein the clarity sensor includes a photo Darlington detector that is adapted to achieve a desired absolute signal measurement and a desired signal-to-noise ratio sufficient to achieve the dynamic range and resolution sensitivity.

8. The apparatus of claim 7, wherein the clarity sensor further includes a photo Darlington base drive feedback circuit to control the gain of the photo Darlington detector so as to eliminate non-linearity of gain associated with changes in ambient light and other noise sources.

9. The apparatus of claim 7, wherein the clarity sensor further includes a photo Darlington base drive feedback circuit to adjust absolute gain of the Darlington detector to provide greater overall dynamic range of the clarity sensor.

10. The apparatus of claim 7, wherein a low power laser diode is utilized as the light source.

11. The apparatus of claim 10, wherein the laser diode is positioned at a right and oblique angle to the photo Darlington detector so as to minimize light reflection noise within a test cavity and sense scattered light resulting from the presence of turbidity in the effluent.

12. The apparatus of claim 10, wherein a white light light-emitting diode is utilized to provide a transmitting light source for determining color of the catheter effluent.

13. The apparatus of claim 1, wherein the sensed color and clarity of the effluent are used to determine the occurrence of an anomalous condition.

14. The apparatus of claim 13, wherein a diffuser is utilized to provide a diffuse backlit light source for determining color of the catheter effluent.

15. The apparatus of claim 1, further comprising:

a microprocessor coupled to the liquid sensor, clarity sensor, and color sensor and adapted to collect effluent data and ascertain whether an anomalous condition is present.

16. The apparatus of claim 15, wherein the microprocessor is adapted to:

perform data trending analysis on collected effluent data, and trigger an alarm if the collected effluent data indicates a certain threshold has been exceeded.

17. The apparatus of claim 15, wherein the microprocessor is adapted to detect at least one of:

anomalous conditions associated with the effluent catheter systems,

early on-set of anomalous conditions, and

improvement or degradation of an already existing anomalous condition associated with catheter systems.

18. The apparatus of claim 15, wherein the microprocessor is adapted to perform statistical analysis of collected temporal sensor data to distinguish true alarm events from transient or noise events.

19. The apparatus of claim 15, wherein the microprocessor is adapted to:

measure elapsed time between liquid effluent detections by the liquid sensor, and trigger an alarm if a time threshold between liquid detections is exceeded to indicate un-timely effluent production.

20. The apparatus of claim 15, wherein the microprocessor is adapted to enter into a low power sleep mode when no effluent is sensed by the liquid sensor so as to enable a longer battery life.

21. The apparatus of claim 1, wherein the apparatus is attached to an effluent drain tube which is utilized as both an effluent flow path and a test cell for the sensors.

22. The apparatus of claim 21, wherein the apparatus is permanently attached to the effluent drain tube and is disposable.

23. The apparatus of claim 1, wherein the apparatus is attached to an effluent drain bag which is utilized as both an effluent reservoir and a test cell for the sensors.

24. An effluent monitoring device, comprising:

means for sensing the presence of the effluent in a catheter system;

means for sensing a color of the effluent; and

means for sensing a clarity of the effluent.

25. The effluent monitoring device of claim 24, further comprising:

means for determining whether an anomalous condition exists based on the clarity and color of the effluent; and

means for providing an alert of the anomalous condition.

26. The effluent monitoring device of claim 24, wherein if the presence of the effluent detected, color data for the effluent and clarity data for the effluent is considered valid, otherwise such data is ignored.

27. A method for monitoring for anomalous conditions of a effluent for a catheter system, comprising:

sensing the presence of the effluent in a catheter system;

sensing a color of the effluent; and

sensing a clarity of the effluent.

28. The method of claim 27, further comprising:

determining whether an anomalous condition exists based on the clarity and color of the effluent; and

providing an alert of the anomalous condition.