A Non-invasive device and automated monitoring system using peak flow meter for asthma patients

摘要

Our propose system is a Non-invasive device and automated monitoring system to assist patients and healthcare provider in tracking the patient condition. Asthma patients need to constantly perform self-monitoring at home using a device called "peak flow meter". The device results are recorded during a period to be reviewed later with a doctor. The application uses the collected PEF scores and determine the patient’s status, then shows recommendations based on the action plan. The system also implements machine learning (ML) to predict if the patient will decline then sending him alerts, it also helps the patient adhere to his treatment plan by reminding him of his medications times and recording if he took it.