10.5281/zenodo.3902728
https://zenodo.org/records/3902728
oai:zenodo.org:3902728
Chang Wei Tan
Chang Wei Tan
0000-0001-8377-3241
Monash University
Christoph Bergmeir
Christoph Bergmeir
0000-0002-3665-9021
Monash University
Francois Petitjean
Francois Petitjean
0000-0001-5334-3574
Monash University
Geoffrey I Webb
Geoffrey I Webb
0000-0001-9963-5169
Monash University
PPGDalia Dataset
Zenodo
2020
time series
regression
2020-06-21
10.5281/zenodo.3902727
https://zenodo.org/communities/ts_regression
Creative Commons Attribution 4.0 International
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/
This dataset is created from the publicly available PPG-DaLiA dataset for PPG-based heart rate estimation. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects while performing a wide range of activities under close to real-life conditions. The included ECG data provides heart rate ground truth. The included PPG- and 3D-accelerometer data can be used for heart rate estimation, while compensating for motion artefacts. The dataset contains 64700 time series with 4 dimensions.
Please refer to https://archive.ics.uci.edu/ml/datasets/PPG-DaLiA for more details.
Citation request
[1] Attila Reiss, Ina Indlekofer, Philip Schmidt, and Kristof Van Laerhoven. 2019. Deep PPG: Large-scale Heart Rate Estimation with Convolutional Neural Networks. MDPI Sensors, 19(14).