CIME PPG dataset
The CIME PPG dataset is described in two papers by Ke Xu et al., serving as training and testing sets respectively. It is primarily used for research on motion‑artifact removal and pulse‑rate variability extraction from photoplethysmography (PPG) signals.
Dataset description and usage context
Dataset Overview
Dataset Name
CIME‑PPG‑dataset‑2018
Dataset Description
The dataset consists of two parts:
- Training set: Described in the paper "Ke Xu et al., Photoplethysmography Motion Artifacts Removal based on Signal‑Noise Interaction Modeling Utilizing Envelope Filtering and Time‑Delay Neural Network, IEEE Sensors Journal, vol. 20, no. 7, pp. 3732‑3744, Apr. 2020."
- Testing set: Described in the paper "Ke Xu et al., Deep Recurrent Neural Network for Extracting Pulse Rate Variability from Photoplethysmography During Strenuous Physical Exercise, 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), Nara, Japan, 2019, pp. 1‑4."
Citation Requirement
When publishing work that uses this dataset (both training and testing sets), please cite the two papers above.
Detailed Description
A full description is available in the attached file dataset_description.pdf.
Data Access
Because the files exceed GitHub's size limit, they can be downloaded from the following Dropbox link: https://www.dropbox.com/sh/6np4q7dg9iz46ki/AACZd58eD8iVVOHIR-9vEUbRa?dl=0
Usage Restrictions
For research purposes only.
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