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Advances in Electrophysiology Monitoring and Analysis

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 2197

Special Issue Editor


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Guest Editor
Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Pisana, 00163 Rome, Italy
Interests: electroencephlogram (EEG); functional connectivity; neuroscience
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Special Issue Information

Dear Colleagues,

Over the last few years, several new electrophysiological data analysis techniques have emerged, addressing the study of both healthy and pathological conditions. In fact, given their highly accessible, low-invasive, and widespread nature, electrophysiological tools are very useful instruments that are used to record the electrical activity of the central and peripheral nervous system.

This Special Issue aims to present the latest developments and achievements made by researchers that can potentially lead to significant advances in the monitoring and analysis of electrophysiological data in both healthy and diseased conditions. Topics of interest include, but are not limited to, the application of the following electrophysiological tools:

  • magneto/electroencephalography (M/EEG);
  • electromyography (EMG);
  • transcranial magnetic stimulation (TMS);
  • transcranial direct current stimulation (tDCS);
  • transcranial alternating current stimulation (tACS);
  • TMS-EEG;
  • tDCS-EEG;
  • tACS-EEG.

Dr. Francesca Miraglia
Guest Editor

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Keywords

  • magneto/electroencephalography (M/EEG)
  • electromiography (EMG)
  • transcranial magnetic stimulation (TMS)
  • transcranial direct current stimulation (tDCS)
  • transcranial alternating current stimulation (tACS)
  • TMS-EEG
  • tDCS-EEG
  • tACS-EEG

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Published Papers (2 papers)

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Research

15 pages, 2721 KiB  
Article
Does Muscle Pain Induce Alterations in the Pelvic Floor Motor Unit Activity Properties in Interstitial Cystitis/Bladder Pain Syndrome? A High-Density sEMG-Based Study
by Monica Albaladejo-Belmonte, Michael Houston, Nicholas Dias, Theresa Spitznagle, Henry Lai, Yingchun Zhang and Javier Garcia-Casado
Sensors 2024, 24(23), 7417; https://doi.org/10.3390/s24237417 - 21 Nov 2024
Viewed by 162
Abstract
Several studies have shown interstitial cystitis/bladder pain syndrome (IC/BPS), a chronic condition that poses challenges in both diagnosis and treatment, is associated with painful pelvic floor muscles (PFM) and altered neural drive to these muscles. However, its pathophysiology could also involve other alterations [...] Read more.
Several studies have shown interstitial cystitis/bladder pain syndrome (IC/BPS), a chronic condition that poses challenges in both diagnosis and treatment, is associated with painful pelvic floor muscles (PFM) and altered neural drive to these muscles. However, its pathophysiology could also involve other alterations in the electrical activity of PFM motor units (MUs). Studying these alterations could provide novel insights into IC/BPS and help its clinical management. This study aimed to characterize PFM activity at the MU level in women with IC/BPS and pelvic floor myalgia using high-density surface electromyography (HD-sEMG). Signals were recorded from 15 patients and 15 healthy controls and decomposed into MU action potential (MUAP) spike trains. MUAP amplitude, firing rate, and magnitude-squared coherence between spike trains were compared across groups. Results showed that MUAPs had significantly lower amplitudes during contractions on the patients’ left PFM, and delta-band coherence was significantly higher at rest on their right PFM compared to controls. These findings suggest altered PFM tissue and neuromuscular control in women with IC/BPS and pelvic floor myalgia. Our results demonstrate that HD-sEMG can provide novel insights into IC/BPS-related PFM dysfunction and biomarkers that help identify subgroups of IC/BPS patients, which may aid their diagnosis and treatment. Full article
(This article belongs to the Special Issue Advances in Electrophysiology Monitoring and Analysis)
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16 pages, 3666 KiB  
Article
Surface Electromyography Data Analysis for Evaluation of Physical Exercise Habits between Athletes and Non-Athletes during Indoor Rowing
by Tomasz Grzejszczak, Anna Roksela, Anna Poświata, Anna Siemianowicz, Agnieszka Kiełboń and Michał Mikulski
Sensors 2024, 24(6), 1964; https://doi.org/10.3390/s24061964 - 19 Mar 2024
Viewed by 1604
Abstract
In this paper, surface electromyography (sEMG) is used to gather the activation neural signal from muscles during an indoor rowing exercise. The exercise was performed by professional athletes and amateur non-athletes. The data acquisition and processing are described to obtain a set of [...] Read more.
In this paper, surface electromyography (sEMG) is used to gather the activation neural signal from muscles during an indoor rowing exercise. The exercise was performed by professional athletes and amateur non-athletes. The data acquisition and processing are described to obtain a set of parameters: number of cycles, average cycle time, cycle time standard deviation, fatigue time, muscle activation time, and muscle energy. These parameters are used to draw conclusions on common non-athletes’ mistakes during exercise for better training advice and a way of statistically distinguishing an athlete from a non-athlete. Full article
(This article belongs to the Special Issue Advances in Electrophysiology Monitoring and Analysis)
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