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Evaluation of Pelvic Floor Muscles in Pregnancy and Postpartum With Non-Invasive Magnetomyography

Authors :
S. Oliphant
Hari Eswaran
Diana Escalona-Vargas
Eric R. Siegel
Source :
IEEE Journal of Translational Engineering in Health and Medicine, Vol 10, Pp 1-6 (2022), IEEE Journal of Translational Engineering in Health and Medicine
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

Objective: To record and characterize features of levator ani muscles (LAM) activity in pregnancy and postpartum using non-invasive and novel Magnetomyography (MMG) technique with amplitude and spectral parameters. Methods: Nulliparous women with uncomplicated pregnancies participated in the MMG data collection during rest and voluntary LAM contractions (Kegels) with modulated intensity in third trimester and approximately 2 months postpartum (PP). Simultaneous surface electromyography was recorded to document the recruitment of accessory muscles. Moderate strength Kegel (MK) MMG trials were analyzed. Amplitude and spectral parameters including root-mean square (RMS) amplitude, power spectrum density (PSD) and normalized PSD (rPSD) in three frequency bands (low, middle, high) were computed on MK epochs. Statistical comparisons between pregnancy and postpartum were calculated. Results: MMG recordings were measured from 10 pregnant women. Results showed decreased RMS and power between third trimester and postpartum, trending towards significance. rPSD values in the low frequency band decreased significantly (p = 0.028) from third trimester to postpartum, while significant increase was observed in the middle frequency band (p = 0.018). Conclusions: This study shows that MMG as non-invasive tool has the ability to detect and characterize changes of LAM activity with amplitude and spectral parameters during pregnancy and postpartum.

Details

Language :
English
ISSN :
21682372
Volume :
10
Database :
OpenAIRE
Journal :
IEEE Journal of Translational Engineering in Health and Medicine
Accession number :
edsair.doi.dedup.....3c425fa8612f4afb84071a509e80fb27