PPGDalia Dataset (Q6690067)
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Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | PPGDalia Dataset |
Dataset published at Zenodo repository. |
Statements
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).
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21 June 2020
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