Real-World PPG dataset

Photoplethysmograph (PPG) is a physiological signal used to describe the volumetric change of blood flow in peripherals with heart beats. A hardware configuration is employed to capture PPG signals from a number of persons using an IoT sensor. This dataset contains PPG signals from 35 healthy persons , with 50 to 60 PPG signal for each one. The age range of participants is 10-75 years, with an average age of 28.4 years. Each PPG signal contains 300 samples (6 seconds recording) with 50 sample/second sampling rate. The dataset is split into two files: one for training the classifier which contains 1374 PPG signal (about 66% of complete dataset), and the other file to test the classifier which contains 700 PPG signal (about 34% of complete dataset).