Physio-PPG: A Multi-Parameter Annotated Dataset for Biometric Recognition and Physiological Impact Analysis
- Citation Author(s):
-
Zexing ZhangHuimin Lu
- Submitted by:
- Zexing Zhang
- Last updated:
- DOI:
- 10.21227/7gkk-e142
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Abstract
The dataset corresponding to the paper "A Time-Frequency Disentanglement Framework with Liquid Neural Networks for Biometric Identification and Physiological Interference Analysis from PPG Sensor Data"
Instructions:
After decompression, use numpy.load to read the files. The signals.npy contains PPG signals sampled at 100 Hz, and the label.xlsx file includes labels in the following order: systolic blood pressure, diastolic blood pressure, heart rate, blood glucose, and BMI.
