This dataset provides the ECG signals recorded in ambulatory (moving) conditions of subjects. The ambulatory ECG (A-ECG) data acquired with two different recorders viz. Biopac MP36 Acquisition system and a self-developed wearable ECG recorder are made available. Total 10 subjects' (with avg. age of 27 years, 1 female and 9 males) ECG signals with four body movements- Left & Right arm up/down, Sitting down & standing up and Waist twist are uploaded.

An EEG signals dataset is also provided here.

Dataset Files

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[1] Rahul Kher, "Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/ysnc-gc65. Accessed: Feb. 29, 2024.
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doi = {10.21227/ysnc-gc65},
url = {http://dx.doi.org/10.21227/ysnc-gc65},
author = {Rahul Kher },
publisher = {IEEE Dataport},
title = {Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset},
year = {2020} }
TY - DATA
T1 - Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset
AU - Rahul Kher
PY - 2020
PB - IEEE Dataport
UR - 10.21227/ysnc-gc65
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Rahul Kher. (2020). Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset. IEEE Dataport. http://dx.doi.org/10.21227/ysnc-gc65
Rahul Kher, 2020. Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset. Available at: http://dx.doi.org/10.21227/ysnc-gc65.
Rahul Kher. (2020). "Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset." Web.
1. Rahul Kher. Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/ysnc-gc65
Rahul Kher. "Wearable Ambulatory Electrocardiogram (ECG) and EEG dataset." doi: 10.21227/ysnc-gc65