Photoplethysmography Device Data: Hardware and Participant Study Insights
Description
This dataset accompanies the study "Investigating the Design of a Photoplethysmography Device for Clinical Applications" conducted by Anneri Appel (Aspeling) and Dr. Rensu P. Theart. It includes raw and processed data collected from 110 participants (participant 056 excluded due to a measurement error) and is intended to support reproducibility, further research, and development in photoplethysmography (PPG) device design and performance evaluation. Structure of the Dataset: 1. Data Folder: This folder contains PPG data recorded for each participant (except 056) using both green-LED and red-LED devices. Each participant has 8 text files named using the following convention: ONSM_{GREEN/RED}_{data/time}_{IR/RG}_{participant number}.txt - ONSM refers to the Onsemi photodiode used to capture the data. - {GREEN/RED} indicates whether the data was captured using the green-LED or red-LED PPG device. - {data/time} specifies whether the file contains ADC data (range: 0–65536) or timestamps (in milliseconds). - {IR/RG} indicates the LED type used (infrared or red/green). - {participant number} identifies the participant (001–110, excluding 056). 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.