PPGSynth

PPGSynth synthesizes regular and arrhythmic photoplethysmography (PPG) waveforms to generate large synthetic datasets for research and validation of cardiovascular monitoring and arrhythmia analysis algorithms.

Key Features:

• Synthesis of Regular and Irregular Heartbeats: Generates PPG waveforms with regular beats and three types of irregular heartbeats: compensation, interpolation, and reset.
• Modeling Approach: Models each PPG pulse as two combined Gaussian functions to approximate physiological waveform morphology.
• Customization Options: Provides adjustable parameters including irregularity level, sampling frequency, and waveform duration.
• Noise Modeling: Adds configurable noise types, specifically Gaussian noise and multi-frequency noise, to simulate real-world signal conditions.
• Robust Testing Capabilities: Produces large, configurable synthetic datasets for testing and validating algorithms that analyze arrhythmic PPG signals.

Scientific Applications:

• Algorithm Development and Validation: Enables creation of extensive labeled datasets for developing and benchmarking arrhythmia detection and PPG-analysis algorithms.
• Research in Cardiovascular Diseases: Provides realistic synthetic PPG signals for studying physiological signatures relevant to cardiovascular diagnostics.
• Digital Health Evaluation: Supports testing of devices and signal-processing software against a range of simulated physiological and noise scenarios.

Methodology:

Each PPG pulse is modeled using two combined Gaussian functions; the generator synthesizes regular and three irregular heartbeat types (compensation, interpolation, reset) with adjustable irregularity level, sampling frequency, waveform duration, and optional Gaussian or multi-frequency noise.