![]() Three types of irregular PPG signals also can be generated by the PPGSynth tool. PPGSynth is developed to generate PPG signals across a wider range of sampling frequencies and time lengths. Additionally, it is still a challenge to evaluate the performance of these algorithms under different PPG types and different signal-to-noise ratios (SNR). The sampling frequency and time length of PPG signals are different in different databases however, most algorithms designed for these databases are signal-independent. In the past decade, some studies have used PPG to calculate heart rate, oxygen saturation, blood pressure, cardiac output, cardiac index, peripheral vascular resistance, and other indicators of cardiovascular function, and many algorithms were developed to calculate these indices ( 2).įour PPG databases, at time of writing, are publicly available: Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) ( 3), the University of Queensland Vital Signs Dataset ( 4), Vortal Dataset ( 5), and PPG-BP ( 6). Photoplethysmogram (PPG) signal contains rich information about the cardiovascular system ( 1). Our PPG synthesis tool is publicly available. The generation for large PPG datasets that simulate PPG collected from real humans could be used for testing the robustness of developed algorithms that are targeting arrhythmic PPG signals. The user can generate a large amount of PPG data with a certain irregularity, with different sampling frequency, time length, and a range of noise types (Gaussian noise and multi-frequency noise) can be added to the synthesized PPG which can all be modified from the interface, and different types of arrhythmic PPGs (as calculated by the model) generated. This toolbox supports synthesizing PPG waveform with regular heartbeats and three irregular heartbeats: compensation, interpolation, and reset. The model of a single PPG pulse in this toolbox utilizes two combined Gaussian functions. Unfortunately, to our knowledge, there is no arrhythmic PPG dataset publicly available-this paper attempt to provide a toolbox that can generate synthesized arrhythmic PPG signals. The PPG signal contains valuable information about heart activity, and there is lots of research interest in its means and analysis for cardiovascular diseases. Photoplethysmography (PPG) is increasingly used in digital health, exceptionally in smartwatches. ![]()
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