2020
DOI: 10.1002/nau.24332
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Reliability of different electromyographic normalization methods for pelvic floor muscles assessment

Abstract: Aims: To evaluate the reliability of different methods to normalize pelvic floor muscles (PFM) electromyography (EMG).Methods: Thirty nulliparous women (23.9 ± 3.2 years), free from PFM dysfunction, completed two test sessions 7 days apart. For EMG normalization, signals were acquired during four different tasks using a vaginal probe in situ:PFM maximal voluntary contraction (MVC) and three daily activities with increased intra-abdominal pressure (coughing, Valsalva maneuver, and abdominal contraction). The in… Show more

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Cited by 9 publications
(4 citation statements)
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“…The mean and peak RMS values represent the mean and peak EMG activity during exercise, respectively. The combination of the two can objectively and reliably reflect the detected muscle contraction [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…The mean and peak RMS values represent the mean and peak EMG activity during exercise, respectively. The combination of the two can objectively and reliably reflect the detected muscle contraction [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…The EMG data were processed with a Butterworth High-pass filter (cutoff: 5Hz), full wave rectification and a Butterworth Low-pass filter (cutoff: 400 Hz). Data were smoothed using 50-ms root mean square envelopes and normalized to the peak of the maximum voluntary contraction according to Pereira-Baldon et al 23 Normalized amplitude was recorded as a mean across all trials.…”
Section: Methodsmentioning
confidence: 99%
“…Only lower sensors of SARA channel array were used for further analysis, as these sensors were positioned closest to the muscles of interest.The clean MMG data was split into epochs in the window ranging from -3s to +10s with respect to the trigger when voluntary contraction started. We considered the 3s of data before the voluntary contraction as baseline which was then used to apply baseline correction to the 10s data, a common practice in EMG studies [18]. For the accompanying EMG data, the same pre-processing methods were applied as described above for MMG and the cardiac artifact was removed using SUBTR with reference data from maternal ECG electrode.…”
Section: B Signal Processingmentioning
confidence: 99%