Photoplethysmography Device Data: Hardware and Participant Study Insights

Data and timestamp files are paired, such that timestamps for ONSM_GREEN_data_IR_1.txt are located in ONSM_GREEN_time_IR_1.txt. 2. Participants Folder: This folder contains a metadata file for each participant (001–110, excluding 056) with the following fields: - No: Participant number. - Age: Age in years. - Sex: Biological sex (M/F). - BMI: Body Mass Index classification (Normal, Underweight, Overweight). - MST: Monk Skin Tone scale (1–10, where 10 indicates the darkest skin tone). - CVH: Presence of known cardiovascular health problems. - Blood Pressure: Blood pressure readings (mmHg). - Seconds, SpO2, BPM: Time-stamped blood oxygen saturation (percent) and heart rate (beats per minute).

Key Features and Applications: This dataset is relevant for researchers and developers working on: 1. PPG Device Design and Optimization: Includes raw hardware configuration data such as light source wavelength, brightness, photodetector lens shape, and sensor-to-skin contact pressure. 2. Participant Study Analysis: Provides cardiovascular metrics collected from a demographically diverse group, facilitating investigations into the effects of factors like skin tone (MST) and BMI on PPG signal quality. 3.

Neural Network Training: Contains data that can be used to train and validate neural networks for applications like blood pressure estimation. Intended Use: The dataset is designed to support reproducibility of findings from the study and encourage further research in PPG-based vital sign monitoring, particularly in diverse clinical and demographic settings. For more context and details about the methodology, please refer to the associated publication.