HemiPhysioData vs OpenPPG

HemiPhysioData serves as an Apple Watch app designed to gather both raw and processed data from the watch's built-in sensors, such as the accelerometer and gyroscope. Its user-friendly interface allows users to effortlessly select different activities and preferences. The collected sensor data, along with additional specified values, is then neatly stored in a CSV file. These CSV files can be easily transferred to the user's iPhone for further processing and analysis. The app is specifically tailored for individuals seeking to collect movement data or Range of Motion (ROM) measurements, with the added benefit of utilizing the data for analytics and machine learning. Users have the flexibility to choose the activity type, movement type, sampling rate (samples per second), and indicate which wrist they wear the watch on, as well as whether it's their dominant or non-dominant side. Some details on screenshots: UID: Predefined twenty users (U01-U20) Activity: Movements (upper limb), Walking, Running, Misc Move Type: It corresponds to the selected activity Interval-Hertz: Samples per second (up to 100 samples per second) Dominant Side: Enable it when watch is on wrist of dominant arm Right Wrist: Enable it when watch is on right wrist Haptic-Feedback: When enabled, the user can set the ‘Starts In’ time and the logging ‘Duration'. The user gets the alert when the logging starts (when the starts-in time finishes) and ends (when the duration finishes). Use this option to log activity related data only. It saves from data cleaning later. Logged Files: Shows all saved CSV files on watch. The user can select a file to send to the iPhone or delete from watch. The following sensor data of the Apple Watch (WatchOS) is saved in the CSV file: - Device Motion Processed Data: roll, pitch, yaw, rotation rate x, rotation rate y, rotation rate z, gravity x, gravity y, gravity z, user acceleration x, user acceleration y, user acceleration z, quaternion x, quaternion y, quaternion z, quaternion z. -Accelerometer Raw Data: Acceleration x, y, and z

OpenPPG is a free, research-oriented iOS application designed to close the gap in accessible and transparent PPG data acquisition. Built by researchers for researchers, it enables recording of raw, high-quality photoplethysmography (PPG) signals directly from the smartphone camera, with full export for scientific analysis. Key Features • Raw signal access – capture unprocessed PPG waveforms with complete control over export (CSV format). • Flexible preprocessing – raw signals, basic and advanced filtering, signal quality assessment or fully calculated metrics in one app to enhance your research • Feature extraction – access directly over 11 automatically calculated temporal and morphological metrics without need for advanced signal processing • Metadata & annotations – mark events while taking measurements in real time and customise forms to fit your study protocol • Explainable pipeline – reproducible acquisition process with transparent documentation to ensure research reliability. Why OpenPPG? Most mobile tools restrict access to raw data, hide acquisition details, or require payment. OpenPPG removes these barriers by providing a free, standardised, and reproducible way to acquire PPG signals. It supports innovation in signal processing, machine learning, and digital biomarker discovery. Important: OpenPPG is intended solely for research purposes. It is not a medical device and must not be used for diagnosis, treatment, or patient self-monitoring.