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Dataset results
117 results for “Electromyography”
The Effect of Prolonged Sugar-Free Chewing Gum Mastication on Self-Reported Fatigue Levels and Changes of Static and Dynamic Surface Electromyography Parameters in Young Individuals With and Without T
ClinicalTrials.gov study NCT07273123. IPD Sharing: YES. Countries: 1. Publications: 0.
Efficacy of Adding Pilates to Postural Correction Exercise on Nerve Root Function and Electromyography Activity in Symptomatic Forward Head Posture: Randomized Controlled Trial
ClinicalTrials.gov study NCT05170776. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparing Electromyography of the Diaphragm With Ultrasound in Neonates and Children With Respiratory Support
ClinicalTrials.gov study NCT05965830. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Ultrasound and Electromyography Biofeedback for Pelvic Floor Muscle Training
ClinicalTrials.gov study NCT07243028. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment by Surface Electromyography in Cerebral Palsy Footballers
ClinicalTrials.gov study NCT06151873. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Correlation Between the Frontal Electromyography Parameter in Patient State Index (PSI) Monitor and Train of Four
ClinicalTrials.gov study NCT03926650. IPD Sharing: NO. Countries: 1. Publications: 0.
Intra Operative Continuous Laryngeal Nerve Monitoring During Thyroid Surgery and Interpretation of the Post-operative Voice Quality in Relation to the Electromyography Data Obtained During Surgery
ClinicalTrials.gov study NCT01413802. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Randomized Controlled Trial to Evaluate the Effectiveness of Electromyography (EMG)-Biofeedback in Patients With Fibromyalgia
ClinicalTrials.gov study NCT02186756. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Vitamin D and Muscle Strength and Surface (Electromyography) EMG
ClinicalTrials.gov study NCT01190683. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of Dysphagia by 6-chnnel Surface Electromyography
ClinicalTrials.gov study NCT03494361. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Effect of Custom-Made Biomechanical Perturbation Platform on Kinetics, Kinematics and Electromyography in Healthy Subjects
ClinicalTrials.gov study NCT00476333. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis of Muscle Activity With Myofunctional Devices, Using Surface Electromyography
ClinicalTrials.gov study NCT03863275. IPD Sharing: NO. Countries: 0. Publications: 0.
How to Study Ventilatory Physiology With the Help of Surface Electromyography (EMG) Recordings
ClinicalTrials.gov study NCT01304056. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of The Effect of Music Therapy on Fear of Needle Electromyography
ClinicalTrials.gov study NCT07026487. IPD Sharing: NO. Countries: 0. Publications: 0.
Surface Respiratory Electromyography Measurements During Treadmill Exercise in Stable Patients With COPD
ClinicalTrials.gov study NCT03238209. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Diagnostic accuracy of voluntary and stimulated single-fiber electromyography in ocular myasthenia gravis
<p>Findings from single-fiber electromyography (SFEMG) during voluntary activation (v-SFEMG) and axonal stimulation (s-SFEMG) in patients with ocular symptoms with and without ocular myasthenia gravis (OMG) and healthy subjects.</p>
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography
<p><strong>Data: EEG contaminated by facial EMG</strong></p> <p> </p> <p>The dataset contains the EMG and EEG signals collected for the study of contamination by facial EMG on EEG.</p> <p> </p> <p>For each volunteer (S1 to S10), there are five “.mat” files, referring to the five muscles activated to generate contamination of facial EMG on EEG.</p> <p>For each muscle there are some variables:</p> <p>1. <strong>amplifier_data</strong>:</p> <p>It is a matrix with the EMG (card A) and EEG (card B) signals collected. The</p> <p>amplifier_channels structure and the t_amplifier vector refere to <strong>amplifier_data</strong></p> <p>matrix.</p> <p>2. <strong>board_dig_in_data</strong>:</p> <p>As expected in the experimental protocol, the collection is performed with the</p> <p>eyes in two states: only open and only closed. The <strong>board_dig_in_data </strong>variable</p> <p>contains digital values (0 or 1). The first moment containing 1s marks the</p> <p>beginning of the eye-open-only state and the second moment indicates the eye-closed-only state. The board_dig_in_channels structure and the t_dig vector refere</p> <p>to <strong>board_dig_in_data </strong>variable.</p> <p>3. <strong>supply_voltage_data</strong>:</p> <p>Data collection is performed by two acquisition cards, A(EMG) and B(EEG). The</p> <p>supply voltage of each card is monitored, and the measured values are stored in</p> <p>this variable. The supply_voltage_channels structure and the t_supply_voltage</p> <p>vector refere to <strong>supply_voltage_data </strong>variable.</p> <p> </p> <p><strong>EMG and EEG data</strong></p> <p>The data of interest for the collection are in the <strong>amplifier_data </strong>variable, a matrix</p> <p>with n rows and m columns, where n is the number of channels (EMG and EEG) and m is the number of data acquired at the sampling frequency for the entire collection time interval. EMG channels are collected by “Port A”, and EEG channels are collected by “Port B”, but all EMG and EEG data are in the same <strong>amplifier_data </strong>variable. The name “Port A” or “Port B” comes from the choice of cable used to connect the acquisition cards to the RHD2000 USB interface system. Thus, based on the choice adopted in connecting the EMG and EEG cards in this research, the <strong>amplifier_data </strong>variable has the first lines belonging to “Port A” (EMG) and the other lines of the matrix being from “Port B” (EEG). The amplifier_channels structure indicates which card was used with the name “Port A” and “Port B” in the port_name field.</p> <p> </p> <p><strong>EMG data</strong></p> <p>The muscle signal data does not have a specific and fixed channel between collections. Thus, the channel number for a muscle must be verified at each data collection. The information for each channel must be consulted in the amplifier_channels structure at the custom_channel_name field.</p> <p> </p> <p><strong>EEG data</strong></p> <p>A bipolar 16-channel acquisition card acquires EEG signals. The channels of each</p> <p>EEG sensor are the same for all collections, thanks to the use of the adapted EEG cap, and the connection of the EEG signals card is always carried out on the same cable B. The EEG cap has bipolar transverse mounting configuration.</p> <p> </p> <p>EEG sensors channel list, channel x EEG sensor:</p> <p>Ch00: F3-Fz; Ch01: F4-F8; Ch02: F7-F3; Ch03: Fp1-Fp2;</p> <p>Ch04: T3-C3; Ch05: C4-T4; Ch06: T5-P3; Ch07: P4-T6;</p> <p>Ch08: Fp2-F8; Ch09: F7-Fp1; Ch10: Fz-F4; Ch11: Cz-C4;</p> <p>Ch12: O1-O2; Ch13: P3-Pz; Ch14: Pz-P4; Ch15: C3-CZ.</p>
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OpenNeuro
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