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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: 30 September 2024 | Viewed by 1110

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
Special Issues, Collections and Topics in MDPI journals

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Published Papers (1 paper)

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Research

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 882
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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