CIME PPG dataset

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.