Dataset Open Access

PPGDalia Dataset

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

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <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:description>This dataset is part of the Monash, UEA &amp; UCR time series regression repository.

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.

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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:subject>time series</dc:subject>
  <dc:title>PPGDalia Dataset</dc:title>
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