Dataset Open Access

PPGDalia Dataset

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

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3902728", 
  "author": [
      "family": "Chang Wei Tan"
      "family": "Christoph Bergmeir"
      "family": "Francois Petitjean"
      "family": "Geoffrey I Webb"
  "issued": {
    "date-parts": [
  "abstract": "<p>This dataset is part of the Monash, UEA &amp;&nbsp;UCR time series regression repository.&nbsp;<a href=\"\"></a></p>\n\n<p>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.&nbsp;The included ECG data provides heart rate ground truth.&nbsp;The included PPG- and 3D-accelerometer data can be used for heart rate estimation, while compensating for motion artefacts.&nbsp;The dataset contains 64700 time series with 4 dimensions.</p>\n\n<p>Please refer to <a href=\"\"></a> for more details.<br>\n&nbsp;<br>\nCitation request<br>\n[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).</p>", 
  "title": "PPGDalia Dataset", 
  "type": "dataset", 
  "id": "3902728"
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