plenzjr / NR2-UFPR-PPG-Dataset

PPG dataset

NR2/UFPR PPG Datasets

Suggested Citation If you use this dataset in a publication, please credit the author(s) using the following citation:

Fernando Nakayama, Paulo Lenz, Stella Banou, Michele Nogueira, Aldri Santos, and Kaushik R. Chowdhury, “A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health,” Wireless Communications and Mobile Computing, vol. 2019, Article ID 9361017, 11 pages, 2019.

Backgound: This PPG (Photoplethysmogram) dataset was build with an experimental environment within the context of the NSF/RNP U.S.-Brazil HealthSense project. https://www.healthsenseproject.net/

This dataset was employed to test the BEAT - (Biosignal Enhanced Authenticator) authentication system. An authentication system based on PPG Biosignals.

Sensor employed in captures - Gravity: Heart Rate Monitor

Sensor technical details are available at:Gravity: Heart Rate Monitor - Datasheet

Sensor Schematic is available at:Gravity: Heart Rate Monitor - Schematic

MCU employed in captures is - Arduino Uno

Datasets encompass data from 30 healthy individuals from 23 to 53 years old and with no record of cardiac issues. Each individual had their PPG signal collected and recorded in two positions: standing and sitting. The NR2/UFPR#1 dataset contains data from the seated individuals, whereas the NR2/UFPR#2 dataset contains data from standing individuals. User registrations were made at different time as would occur in a real situation. Datasets hold three-minute sample per individual.

Additional information is available in the Readme files in each folder.