Dataset Information

Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection.

ABSTRACT:

Background

Pelvic floor pressure distribution profiles, obtained by a novel instrumented non-deformable probe, were used as the input to a feature extraction, selection, and classification approach to test their potential for an automatic diagnostic system for objective female urinary incontinence assessment. We tested the performance of different feature selection approaches and different classifiers, as well as sought to establish the group of features that provides the greatest discrimination capability between continent and incontinent women.

Methods

The available data for evaluation consisted of intravaginal spatiotemporal pressure profiles acquired from 24 continent and 24 incontinent women while performing four pelvic floor maneuvers: the maximum contraction maneuver, Valsalva maneuver, endurance maneuver, and wave maneuver. Feature extraction was guided by previous studies on the characterization of pressure profiles in the vaginal canal, where the extracted features were tested concerning their repeatability. Feature selection was achieved through a combination of a ranking method and a complete non-exhaustive subset search algorithm: branch and bound and recursive feature elimination. Three classifiers were tested: k-nearest neighbors (k-NN), support vector machine, and logistic regression.

Results

Of the classifiers employed, there was not one that outperformed the others; however, k-NN presented statistical inferiority in one of the maneuvers. The best result was obtained through the application of recursive feature elimination on the features extracted from all the maneuvers, resulting in 77.1% test accuracy, 74.1% precision, and 83.3 recall, using SVM. Moreover, the best feature subset, obtained by observing the selection frequency of every single feature during the application of branch and bound, was directly employed on the classification, thus reaching 95.8% accuracy. Although not at the level required by an automatic system, the results show the potential use of pelvic floor pressure distribution profiles data and provide insights into the pelvic floor functioning aspects that contribute to urinary incontinence.

SUBMITTER: Carafini A

PROVIDER: S-EPMC6907092 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection.

Carafini Adriano A Sacco Isabel C N ICN Vieira Marcus Fraga MF

PeerJ 20191209

<h4>Background</h4>Pelvic floor pressure distribution profiles, obtained by a novel instrumented non-deformable probe, were used as the input to a feature extraction, selection, and classification approach to test their potential for an automatic diagnostic system for objective female urinary incontinence assessment. We tested the performance of different feature selection approaches and different classifiers, as well as sought to establish the group of features that provides the greatest discri ...[more]

PMID: 31844587

Similar Datasets

Project description:BackgroundStress urinary incontinence (SUI) is a common condition that requires proper evaluation to select a personalized therapy. Vaginal Tactile Imaging (VTI) is a novel method to assess the biomechanical parameters of the pelvic floor.MethodsWomen with SUI were enrolled in this cross-sectional study. Participants completed the Medical, Epidemiologic, and Social Aspects of Aging (MESA) questionnaire and the Patient Global Impression of Severity Question (PGI-S) and underwent a VTI examination. Based on the MESA and PGI-S questionnaires, participants were divided into mild, moderate, and severe SUI groups. Fifty-two biomechanical parameters of the pelvic floor were measured by VTI and compared between the groups (mild vs. moderate and severe). SUI Score and Index were calculated from the MESA questionnaire. Pearson correlation was used to determine the strength of association between selected VTI parameters and the MESA SUI Index and MESA SUI Score.ResultsThirty-one women were enrolled into the study. Significant differences were observed in the VTI parameters 16, 22-24, 38, 39 when the difference between mild and severe subgroups of SUI based on the PGI-S score was examined. Parameter 16 refers to the maximum gradient at the perineal body, parameter 22-24 refers to the pressure response of the tissues behind the vaginal walls, and parameter 38, 39 refers the maximum pressure change and value on the right side at voluntary muscle contraction. VTI parameter 49, describing the displacement of the maximum pressure peak in the anterior compartment, showed a significant difference between the mild SUI and the moderate-severe SUI according to the MESA SUI score (mean ± SD 14.06 ± 5.16 vs. 7.54 ± 7.46, P = 0.04). The MESA SUI Index and SUI Score displayed a positive correlation concerning VTI parameters 4 (the maximum value of the posterior gradient) and 27 (the displacement of the maximum pressure peak in the anterior compartment) (VTI4 vs. MESA SUI Index r = 0.373, P = 0.039; VTI4 vs. MESA SUI Score r = 0.376, P = 0.037; VTI27 vs. MESA SUI Index r = 0.366, P = 0.043; VTI27 vs. MESA SUI Score r = 0.363, P = 0.044).ConclusionsFemale pelvic floor biomechanical parameters, as measured by VTI, correlate significantly with the severity of SUI and may help guide therapeutic decisions.

Project description:BackgroundPelvic floor muscle training is recommended as first line treatment for urinary incontinence in women based on three proposed theorized mechanisms: 'Enhanced Pelvic Floor Muscle Strength,' 'Maximized Awareness of Timing,' and 'Strengthened Core Muscles'. The purpose of this scoping review was to systematically map evidence for and against theorized mechanisms through which pelvic floor muscle training interventions work to reduce urinary incontinence in women.MethodsThe scoping review is based upon a comprehensive search of relevant literature published from 1990 to 2020 in PubMed, CINAHL, PsycINFO, ClinialTrials.gov, reference lists from review articles, and hand searches of articles by known researchers in the field. We included English-language, peer-reviewed articles on pelvic floor muscle training as an intervention for adult women if they provided empirical evidence to testing the theorized intervention mechanisms. Two independent reviewers screened articles for inclusion and extracted data to describe details of each study (author, year, country, design, sampling), measures of pelvic floor muscle strength and urinary incontinence, statistical analysis of linkage between changes in the measures, and pelvic floor muscle training regimens. Data were summarized to facilitate the integration of diverse evidence to draw conclusions on supporting or refuting the three proposed theorized mechanisms for managing urinary incontinence in women.ResultsOf the 278 articles identified with the search, 13 (4.7%) met inclusion criteria. There was weak to no evidence for the mechanism of enhanced pelvic floor muscle strength, equivocal support for maximized awareness of timing, and no evidence for strengthened core muscles.ConclusionsThis review revealed extremely limited data supporting the proposed theorized mechanisms underlying pelvic floor muscle training programs to manage urinary incontinence in women. Such evidence is needed to help women and clinicians understand how, why and when a woman benefits from pelvic floor muscle training. Future studies should specifically state and report statistical analysis that relates the theorized mechanisms to the training outcomes observed.

Project description:BACKGROUND:Childbirth is a major risk factor for urinary incontinence (UI). As a result, pelvic floor muscle training (PFMT) is commonly recommended during and after pregnancy to prevent the onset of UI. PFMT is often classed as a physical activity (PA) behaviour, hence PA guidelines for postnatal women encourage PFMT alongside aerobic activities. However, postnatal lifestyle interventions tend to overlook PFMT which can be detrimental to women's health and future health risks, including urinary incontinence. This study aimed to explore perceptions and acceptability of a postnatal physical activity and PFMT intervention with postnatal women in Scotland. METHODS:We recruited women who had given birth within the last 5 years by displaying posters in health centres and community centres in Stirling and through Facebook. Data was gathered via online and face-to-face focus groups, that were audio recorded and transcribed verbatim. Analytic themes were initially organised under related concepts derived from the topic guide and thematic analysis conducted. Subsequent analysis was by the Framework technique. RESULTS:A total of seven online and face-to-face focus group discussions with 31 women identified there was a clear intention behaviour gap for engagement in PA, with both psychological and logistical barriers identified such as motivation and childcare. This was distinct from PFMT where there was a feeling of helplessness around not knowing how to perform a correct PFMT contraction subsequently resulting in women not adhering to PFMT guidance. Women felt there was no accessible PFMT advice available through the NHS. Some participants had received PFMT advice after childbirth and spoke of the Squeezee app being useful in adhering to a PFMT regimen but they did require additional teaching on how to do correct contractions. There was need for clarity and practical support for PFMT in the postnatal period with an approved intervention incorporating an accessible app being suggested by participants. CONCLUSIONS:Women would like to be trained on postnatal PFMT but face barriers to accessing adequate information and education on how to do a PFMT contraction. An intervention combining PFMT training and an app would be the most useful for their needs and circumstances.

Dataset Information

Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection.

Background

Methods

Results

Publications

Pelvic floor pressure distribution profile in urinary incontinence: a classification study with feature selection.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets