Cardiovascular Physiological Signal Acquisition and Emergency Rescue System Design and Development

The Department of Health announced that the heart disease is ranked the second out of the top ten causes of death. The cause of most deaths is that the rescue time of the disease is too short, typically only within a few minutes which usually cannot be completed by medical staffs start from hospital to the emergency scene. Over the past decade of development, the medical device, called AED (Automated External Defibrillator), can perform the emergency rescue operation by the general public before the arrival of medical staffs. AED can be allocated to any public place. When an emergency event occurs, any helper nearby can take an AED to the emergency scene and let the device start automatically. AED can diagnose the specific arrhythmia and give defibrillation shock automatically for the patient with heart disease. According to previous outcomes on the smart clothes and the ECG signal quality and data format standard package, the purpose of this study focuses on the extraction of features, the model construction by using incremental learning method, the design of network protocols for the emergency events, and the shortest path design from helper to the AED location and then to the patient location. Finally we will implement the emergency rescue system including server cite and the apps on Android/iOS smartphones for free download.

Project ID:PC10408-1259
External Project ID:MOST104-2221-E182-032