Technologies for Evaluation of Pelvic Floor Functionality: A Systematic Review.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
20 Jun 2024
Historique:
received: 23 02 2024
revised: 14 06 2024
accepted: 18 06 2024
medline: 27 6 2024
pubmed: 27 6 2024
entrez: 27 6 2024
Statut: epublish

Résumé

Pelvic floor dysfunction is a common problem in women and has a negative impact on their quality of life. The aim of this review was to provide a general overview of the current state of technology used to assess pelvic floor functionality. It also provides literature research of the physiological and anatomical factors that correlate with pelvic floor health. This systematic review was conducted according to the PRISMA guidelines. The PubMed, ScienceDirect, Cochrane Library, and IEEE databases were searched for publications on sensor technology for the assessment of pelvic floor functionality. Anatomical and physiological parameters were identified through a manual search. In the systematic review, 114 publications were included. Twelve different sensor technologies were identified. Information on the obtained parameters, sensor position, test activities, and subject characteristics was prepared in tabular form from each publication. A total of 16 anatomical and physiological parameters influencing pelvic floor health were identified in 17 published studies and ranked for their statistical significance. Taken together, this review could serve as a basis for the development of novel sensors which could allow for quantifiable prevention and diagnosis, as well as particularized documentation of rehabilitation processes related to pelvic floor dysfunctions.

Identifiants

pubmed: 38931784
pii: s24124001
doi: 10.3390/s24124001
pii:
doi:

Types de publication

Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : INTERREG Bavaria - Czechia 2021-2027
ID : BYCZ01-014

Auteurs

Nikolas Förstl (N)

OTH Regensburg-Ostbayerische Technische Hochschule Regensburg, Seybothstraße 2, 93053 Regensburg, Germany.

Ina Adler (I)

OTH Regensburg-Ostbayerische Technische Hochschule Regensburg, Seybothstraße 2, 93053 Regensburg, Germany.

Franz Süß (F)

OTH Regensburg-Ostbayerische Technische Hochschule Regensburg, Seybothstraße 2, 93053 Regensburg, Germany.

Sebastian Dendorfer (S)

OTH Regensburg-Ostbayerische Technische Hochschule Regensburg, Seybothstraße 2, 93053 Regensburg, Germany.
RCBE-Regensburg Center of Biomedical Engineering, Seybothstraße 2, 93053 Regensburg, Germany.

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Classifications MeSH