I'm looking to develop an image classifier model to detect and classify patient ventilator asynchrony events, specifically trigger asynchrony, cycle asynchrony, and flow asynchrony. Currently, I don't have any data for training the model. I need to generate synthetic waveforms using a combination of mathematical models and rule-based algorithms. Key Requirements: - Generate synthetic waveforms for training - Use a combination of mathematical models and rule-based algorithms - Classify three types of asynchrony events: trigger, cycle, and flow Ideal Skills and Experience: - Proficiency in Python - Experience with synthetic data generation - Knowledge of image classification and machine learning - Familiarity with ventilator waveforms and asynchrony events