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Non-Invasive Diagnosis of Stress Urinary Incontinence Sub Types Using Wavelet Analysis, Shannon Entropy and Principal Component Analysis

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Abstract

Urinary incontinence is a common female disorder. Although generally not a serious condition, it negatively affects the lifestyle and daily activity of subjects. Stress urinary incontinence (SUI) is the most versatile of several incontinence types and is distinguished by physical degeneration of the continence-providing mechanism. Some surgical treatment methods exist, but the success of the surgery mainly depends upon a correct diagnosis. Diagnosis has two major steps: subjects who are suffering from true SUI must be identified, and the SUI sub-type must be determined, because each sub-type is treated with a different surgery. The first step is straightforward and uses standard identification methods. The second step, however, requires invasive, uncomfortable urodynamic studies that are difficult to apply. Many subjects try to cope with the disorder rather than seek treatment from health care providers, in part because of the invasive diagnostic methods. In this study, a diagnostic method with a success rate comparable to that of urodynamic studies is presented. This new method has some advantages over the current one. First, it is noninvasive; data are collected using Doppler ultrasound recording. Second, it requires no special tools and is easy to apply, relatively inexpensive, faster and more hygienic.

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Acknowledgement

This work is supported by the Scientific Research Fund of Fatih University under the project number P50060901-2.

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Authors and Affiliations

  1. Department of Computer Engineering, Fatih University, Istanbul, 34500, Turkey

    Kadir Tufan

  2. Department of Electrical-Electronics Engineering, Institute of Biomedical Engineering, Fatih University, Istanbul, Turkey

    Sadık Kara

  3. Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey

    Fatma Latifoğlu

  4. Radiology Department, Haseki Training and Research Hospital, Istanbul, Turkey

    Sinem Aydın & Adem Kırış

  5. Urology Department, Haseki Training and Research Hospital, Istanbul, Turkey

    Ünsal Özkuvancı

Authors
  1. Kadir Tufan
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  2. Sadık Kara
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  3. Fatma Latifoğlu
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  4. Sinem Aydın
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Correspondence to Kadir Tufan.

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Tufan, K., Kara, S., Latifoğlu, F. et al. Non-Invasive Diagnosis of Stress Urinary Incontinence Sub Types Using Wavelet Analysis, Shannon Entropy and Principal Component Analysis. J Med Syst 36, 2159–2169 (2012). https://doi.org/10.1007/s10916-011-9680-7

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  • DOI: https://doi.org/10.1007/s10916-011-9680-7

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