Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Smartphone-based analysis of biochemical tests for health monitoring support at home

In the context of home-based healthcare monitoring systems, it is desirable that the results obtained from biochemical tests – tests of various body fluids such as blood and urine – are objective and automatically generated to reduce the number of man-made errors. The authors present the StripTest reader – an innovative smartphone-based interpreter of biochemical tests based on paper-based strip colour using image processing techniques. The working principles of the reader include image acquisition of the colour strip pads using the camera phone, analysing the images within the phone and comparing them with reference colours provided by the manufacturer to obtain the test result. The detection of kidney damage was used as a scenario to illustrate the application of, and test, the StripTest reader. An extensive evaluation using laboratory and human urine samples demonstrates the reader's accuracy and precision of detection, indicating the successful development of a cheap, mobile and smart reader for home-monitoring of kidney functioning, which can facilitate the early detection of health problems and a timely treatment intervention.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 13. Velikova, M., Lucas, P.J.F., Spaanderman, M.: ‘e-MomCare: a personalised home-monitoring system for pregnancy disorders’, LNICST, 2011, 69, pp. 267274.
    5. 5)
    6. 6)
    7. 7)
      • 14. Velikova, M., Lucas, P.J.F., Smeets, R.L., Terwisscha van Scheltinga, J.: ‘Fully-automated interpretation of biochemical tests for decision support by smartphones’. Proc. 25th IEEE Int. Symp. CBMS, 2012.
    8. 8)
    9. 9)
      • 5. Dell, N., Venkatachalam, S., Stevens, D., Yager, P., Borriello, G.: ‘Towards a point-of-care diagnostic system: automated analysis of immunoassay test data on a cell phone’. Proc. Fifth ACM Workshop on Networked Systems for Developing Regions, 2011.
    10. 10)
    11. 11)
      • 3. Loh, B.Y., Vuong, N.K., Chan, S., Lau, C.T.: ‘Robust classification of pH levels on a camera phone’. Proc. IMECS, 2011, pp. 600604.
    12. 12)
    13. 13)
      • 6. OpenCV (Open Source Computer Vision), Accessed April 2014, http://www.opencv.org.
    14. 14)
      • 1. Tighe, P.: ‘Improving the quality of urine strip testing: the Clinitek 50 urine chemistry analyser’, Euro Clin. Lab., 1997, pp. 1620.
    15. 15)
    16. 16)
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2014.0059
Loading

Related content

content/journals/10.1049/htl.2014.0059
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address