Dataset Open Access

PPGDalia Dataset

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb


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  <dc:creator>Chang Wei Tan</dc:creator>
  <dc:creator>Christoph Bergmeir</dc:creator>
  <dc:creator>Francois Petitjean</dc:creator>
  <dc:creator>Geoffrey I Webb</dc:creator>
  <dc:date>2020-06-21</dc:date>
  <dc:description>This dataset is part of the Monash, UEA &amp; 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).</dc:description>
  <dc:identifier>https://zenodo.org/record/3902728</dc:identifier>
  <dc:identifier>10.5281/zenodo.3902728</dc:identifier>
  <dc:identifier>oai:zenodo.org:3902728</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3902727</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ts_regression</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>time series</dc:subject>
  <dc:subject>regression</dc:subject>
  <dc:title>PPGDalia Dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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