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>
ShareScore
12/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- September 30, 2022
- License
- Not reported
- DOI
- 10.5281/zenodo.7133258
Scored with release 0.9.0
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