ECG, EEG and IMU data for local motion artefact removal

This is to enable improved motion artefact removal. Please see paper for description of the device, placement of the electrodes and testing procedure. </div><div><br></div><div>Data is in CSV format, with a sample rate of 220 Hz.</div><div><br></div>If using this data please cite:<div>C. Beach, M. Li, E. Balaban, and A. J. Casson, “Motion artefact removal in electroencephalography and electrocardiography by using multichannel inertial measurement units and adaptive filtering,” <i>Healthc.

Technol. Lett.</i>, vol. 8, no. 5, pp. 128–138, 2021, doi: 10.1049/htl2.12016.</div><div><br><div><div>The columns of the csv files correspond as follows:<br></div><div><b>ECG:</b></div><div>x: Internal system timestamp</div><div>eeg1: V1 electrode</div><div>eeg2: V2 electrode</div><div>ax1: x-axis of accelerometer on V1</div><div>ay1: y-axis of accelerometer on V1</div><div>az1: z-axis of accelerometer on V1</div><div><div>gx1: x-axis of gyroscope on V1</div><div>gy1: y-axis of gyroscope on V1</div><div>gz1: z-axis of gyroscope on V1</div><div><div>ax2: x-axis of accelerometer on V2</div><div>ay2: y-axis of accelerometer on V2</div><div>az2: z-axis of accelerometer on V2</div><div><div>gx2: x-axis of gyroscope on V2</div><div>gy2: y-axis of gyroscope on V2</div><div>gz2: z-axis of gyroscope on V2</div><div><div>ax3: x-axis of accelerometer on REF</div><div>ay3: y-axis of accelerometer on REF</div><div>az3: z-axis of accelerometer on REF</div><div><div>gx3: x-axis of gyroscope on REF</div><div>gy3: y-axis of gyroscope on REF</div><div>gz3: z-axis of gyroscope on REF</div></div></div><div><div>ax4: x-axis of accelerometer on DRL</div><div>ay4: y-axis of accelerometer on DRL</div><div>az4: z-axis of accelerometer on DRL</div><div><div>gx4: x-axis of gyroscope on DRL</div><div>gy4: y-axis of gyroscope on DRL</div><div>gz4: z-axis of gyroscope on DRL</div></div></div><div><br></div></div></div><div><div><b>EEG:</b></div><div>x: Internal system timestamp</div><div>eeg1: T3 electrode</div><div>eeg2: T5 electrode</div><div>ax1: x-axis of accelerometer on T3</div><div>ay1: y-axis of accelerometer on T3</div><div>az1: z-axis of accelerometer on T3</div><div><div>gx1: x-axis of gyroscope on T3</div><div>gy1: y-axis of gyroscope on T3</div><div>gz1: z-axis of gyroscope on T3</div><div><div>ax2: x-axis of accelerometer on T5</div><div>ay2: y-axis of accelerometer on T5</div><div>az2: z-axis of accelerometer on T5</div><div><div>gx2: x-axis of gyroscope on T5</div><div>gy2: y-axis of gyroscope on T5</div><div>gz2: z-axis of gyroscope on T5</div><div><div>ax3: x-axis of accelerometer on REF</div><div>ay3: y-axis of accelerometer on REF</div><div>az3: z-axis of accelerometer on REF</div><div><div>gx3: x-axis of gyroscope on REF</div><div>gy3: y-axis of gyroscope on REF</div><div>gz3: z-axis of gyroscope on REF</div></div></div><div><div>ax4: x-axis of accelerometer on DRL</div><div>ay4: y-axis of accelerometer on DRL</div><div>az4: z-axis of accelerometer on DRL</div><div><div>gx4: x-axis of gyroscope on DRL</div><div>gy4: y-axis of gyroscope on DRL</div><div>gz4: z-axis of gyroscope on DRL</div></div></div></div></div></div></div></div><div><br></div><div>In our paper we take plot the following sections of data:<br></div><div><b>ECG:</b></div><div>Lines 1939:5039 (for the good filtering case)</div><div>Lines 7100:10200 (for the poor filtering case)</div><div><b>EEG:</b></div><div>Lines 7279:10439<br><div><br></div><div><br></div></div></div></div>