METHOD OF DETECTING SYMPTOMS OF PERITONITIS

Abstract

The invention relates to a method of detecting symptoms of peritonitis, wherein the method comprises the following steps: taking a photo of a drainage solution and/or of a catheter exit site using a smartphone and/or inputting at least one query parameter which is input by a patient through the input zone of a smartphone; and, evaluating the photo and/or the query parameter.

Claims

1. A method of detecting symptoms of peritonitis, wherein the method comprises the following steps: taking a photo of a drainage solution and/or of a catheter exit site using a smartphone and/or inputting at least one query parameter which is input by a patient through the input zone of a smartphone; and, evaluating the photo and/or the query parameter.

2. A method in accordance with claim 1, characterized in that a taking of a photo is carried out using the principle of scattered light measurement in that a brightness value and/or a color value are in particular calculated averaged over the total pixel range or over a part of the total pixel range of the camera of the smartphone.

3. A method in accordance with claim 2, characterized in that the calculated value is correlated with a reference value or threshold value which is, for example, measured at the hose piece which is filled with a clear solution, in particular with the peritoneal dialysis solution supplied to the patient.

4. A method in accordance with claim 2, characterized in that the scattered light measurement takes place in reflection.

5. A method in accordance with claim 1, characterized in that an image recognition of the photos is carried out.

6. A method in accordance with claim 1, characterized in that the photograph is a photo of the drainage solution within a hose and/or a bag of a peritoneal dialysis machine.

7. A method in accordance with claim 6, characterized in that at least one marking is used at the hose and/or at the bag for the evaluation of the photograph of the drainage solution.

8. A method in accordance with claim 1, characterized in that two regions of the hose are evaluated by means of photographs, with one region corresponding to the inflow and one region corresponding to the outflow of a peritoneal dialysis machine.

9. A computer program, in particular an app, for a smartphone having a photo camera and an input zone, for recognizing symptoms of peritonitis, wherein the program evaluates at least one photograph of a drainage solution and/or of a catheter exit site taken by means of the smartphone and/or evaluates query parameters input by a patient via the input zone.

10. A computer program in accordance with claim 9, characterized in that the program caries out a taking of a photograph in accordance with the principle of a scattered light measurement in that it calculates a brightness value and/or a color value in particular averaged over the total pixel range or over a part range thereof of the camera.

11. A computer program in accordance with claim 9, characterized in that the scattered light measurement takes place in reflection.

12. A computer program in accordance with claim 9, characterized in that the program carries out an image recognition of the photographs.

13. A computer program in accordance with claim 9, characterized in that the photograph is a photo of the drainage solution within a hose and/or a bag of a peritoneal dialysis machine.

14. A computer program at least in accordance with claim 13, characterized in that at least one marking is provided at the hose and/or at the bag for the evaluation of the photograph of the drainage solution.

15. A computer program in accordance with claim 9, characterized in that two regions of the hose are evaluated by means of photographs, with one region corresponding to the inflow and one region corresponding to the outflow of a peritoneal dialysis machine.

16. A smartphone having a photo camera, an input zone and having a computer program for detecting symptoms of peritonitis in accordance with claim 9 and/or having a processor for carrying out the method of detecting symptoms of peritonitis, wherein the method comprises the following steps: taking a photo of a drainage solution and/or of a catheter exit site using a smartphone and/or inputting at least one query parameter which is input by a patient through the input zone of a smartphone: and, evaluating the photo and/or the query parameter.

17. A holding apparatus for a smartphone, in particular for a smartphone in accordance with claim 16, having a holding region for holding the smartphone, a hose holding region for holding a hose and a window which is configured to enable the photographing of a hose held in the hose holding region by means the smartphone held by the holding region.

18. A holding apparatus in accordance with claim 17, characterized in that a lightproof hose cover is provided which can be coupled to the holding apparatus such that a region photographed by means of the smartphone is shaded.

Description

[0025] Further advantages and details of the invention are explained with reference to the embodiment shown by way of example in the Figures. There are shown:

[0026] FIG. 1a: a rear view of a smartphone in accordance with the invention;

[0027] FIG. 1b: a rear view of a smartphone in accordance with the invention with a hose;

[0028] FIG. 1c: a holding apparatus in accordance with the invention; and

[0029] FIG. 1d: a lightproof hose seal.

[0030] FIG. 1 a shows a smartphone 1 in accordance with the invention having a camera lens 2 or having a photo camera 2, having an LED light/flash 3 and having an input zone provided at the side typically disposed opposite the camera lens 2 or having a corresponding input zone for inputting information. The input zone can in this respect typically be designed as a touch screen.

[0031] FIG. 1 b shows the smartphone 1 of FIG. 1 a having a hose 4 which is disposed upstream of the camera lens 2 and which can be the hose of a peritoneal dialysis machine for conducting a drainage solution. The hose 4 is here arranged directly in front of the camera lens 2 and can thus be detected by the photo camera. The hose 4 can in particular be arranged such that the total region detected by the photo camera 2 is filled by the hose 4. This can be facilitated by coupling the hose 4 and the smartphone 1 to a holding apparatus 5.

[0032] FIG. 1c shows an apparatus for scattered light measurement at the hose 4 or a holding apparatus 5 mentioned above for holding a smartphone 1. The smartphone 1 can be introduced into the holding apparatus 5, for example, via an opening 6 for receiving the smartphone 1. An embodiment is, however, also conceivable in which the smartphone 1 is not introduced into the holding apparatus 5, but is rather only fastened thereto or coupled thereto. A window 7 can be provided at the holding apparatus 5 and the camera lens 2 and the LED light/flash 3 can be directed through it onto a hose 4 arranged before or next to said LED light/flash. The hose 4 can be held by means of a hose holder 8 in the region of the window 7. A more complex embodiment of the holding region is, however, also conceivable in which two or more hoses 4 or hose sections can be held in the region of the window 7.

[0033] FIG. 1d shows a lightproof hose cover 9 which can be coupled to the holding apparatus 5 and/or to the hose 4 such that a region of the hose 4 photographed by means of the smartphone 1 is shaded. More stable light conditions in the imaged region and thus better evaluations of the photographs can hereby be provided.

[0034] In the embodiment of the invention, the measurement principles of scattered light measurement and image recognition are possible.

[0035] With scattered light measurement, the camera 2 of the smartphone 1 is held directly toward the measured object, for example the hose or the bag. The LED or the flash 3 lights up for the measurement and their light is scattered at the cloudy solution located in the measured object and is incident onto the camera. A brightness value or color value is evaluated while averaged over the total pixel range of the camera 2.

[0036] The determined value is correlated with a reference value or threshold value which is measured, for example, at the hose piece which is filled with a clear solution, e.g. the supplied peritoneal dialysis solution.

[0037] The intensity of the light or color is proportional to the cloudiness/coloring of the solution. Since the LED 3 and the camera 2 are directly adjacent with a smartphone 1, the scattered light measurement can take place in reflection.

[0038] A photo is taken for image recognition (with or without LED/flash 3). Individual regions of the image are evaluated using image recognition.

[0039] The hose or the bag are possible as measurement sites with both measurement principles. Possible embodiments therefore comprise:

[0040] a combination of a scattered light measurement with a measurement at the hose, with there ideally being an auxiliary apparatus or holding apparatus 5 which ensures a fixed position of the smartphone 1 with respect to the hose 4 by clips 8 or hose holding regions 8 at the hose 4. In addition, the auxiliary means 5 has a reception opening 6 through which the smartphone 1 is pushed, whereby it can be fixed at the hose 4 such that the LED 3 and the camera 3 directly contact the hose 4. The apparatus has a window 7 which allows light to pass to the hose 4 for the LED 3 and the camera 2. The auxiliary apparatus 5 is composed of a light-impermeable material and screens external light from the measurement path. A hose cover 9 serves for screening the hose 4 from external light in the region of the measurement path and beyond.

[0041] A calibration at an empty hose 4 can take place before the measurement at the outflowing drainage.

[0042] A combination of image recognition with a measurement or with a photograph at the bag is also conceivable. The patient photographs the bag after a complete drainage. There are the following options for an evaluation:

[0043] on the one hand, an automated comparison of the image with a library of images can be carried out. On the other hand, there can be markings on the lower side of the bag, optionally of different line thicknesses. The degree of visibility of the markings is automatically evaluated and is deemed a measurement for the cloudiness. In addition, markings can likewise be attached to the upper side of the bag; they facilitate the image recognition and minimize the influence of the spacing of the camera 2 from the bag and the orientation of the camera 2 relative to the bag. In addition, the cloudiness could be evaluated by the difference of the sharpness/brightness between the markings on the upper side and on the lower side.

[0044] A further measure may be the application of a white field for the white balance to be able to evaluate color information in order, for example, to detect a color change of the dialyzate.

[0045] A combination of a scattered light measurement with a measurement at the bag is furthermore conceivable. Due to the flexibility of the bag, a direct placing of the smartphone 1 onto the bag is, however, not as easily reproducible as the attachment to the hose 4. In addition, the screening of external light is more difficult due to the size and properties of the bag.

[0046] A combination of image recognition with a measurement at the hose is furthermore conceivable. In this respect, the smartphone 1 can be fixed to a point at which it detects both the inflow and the outflow. The inflow can in this respect serve as a reference value and the cloudiness of the outflow can be measured relative thereto.

[0047] The following combinations are possible for validating the suspicion of peritonitis:

[0048] a trend analysis of the degree of cloudiness, with an increase in cloudiness over consecutive bag changes being a strong indication of peritonitis.

[0049] A combination of a measurement of the cloudiness with queries of symptoms of the patient.

[0050] A comparison of the degree of scattered light or of the level of cloudiness with a threshold value or with a transition region, e.g. there may be a histogram of values in patients without peritonitis and a histogram of patients with peritonitis. Both histograms may overlap. The transition region or a fixed threshold value would then be in the overlap region.

[0051] Symptoms such as abdominal pain, nausea, rising body temperature or feeling of a fever, constipation and diarrhea can be regularly queried by the smartphone 1 or by the computer program or method to obtain an initial suspicion of peritonitis. These symptoms can thus represent the query parameters in accordance with the invention. In accordance with the invention, a single symptom or a combination of the named symptoms can be queried in this context.

[0052] In addition, on suspicion of peritonitis due to a positive cloudiness measurement, the symptom query can be carried out ad hoc to validate the suspicion.

[0053] Provision can furthermore be made that the catheter exit site of the peritoneal dialysis machine is photographed and evaluated by means of the computer program or in accordance with the method, for example on a justified suspicion of the patient. The photograph of the catheter exit site can here be evaluated automatically via an image comparison with stored images and can alternatively or additionally be sent as a telemedical application to a supervising physician or nurse for evaluation. In particular exit-site infections can be recognized. An exit-site infection is typically characterized by reddening, swelling and tenderness on palpitation in the region of the catheter exit site. These infections may only be superficially present or may also extend into subcutaneous areas.