Advances in multisensor information fusion: A Markov–Kalman viscosity fuzzy statistical predictor for analysis of oxygen flow, diffusion, speed, temperature, and time metrics in CPAP

摘要: The efficacies of continuous positive airway pressure (CPAP) are well documented in decreasing the apnoea–hypopnoea index patients with obstructive sleep apnoea. To guarantee these efficacies, CPAP manufacturers must thoroughly test devices to ensure flow oxygenated air patient at various temperatures during a prescribed time frame. calculation percent oxygen “bimixture” gas can be done by measuring travel sound wave through gas, and is proportional density air. We utilized existing multisensor tubes that were developed collect measure flow, diffusion, speed, temperature, metrics. Then metrics analysed using Markov fuzzy, statistical, artificial neural network, nearest-neighbour predictive approach determine interactions between variables. An improved Kalman filter method was employed reduce noise, increase viscosity, obtain correct data from system.