AI Stroke Detection and Emergency Response System

Abstract

Deaths caused by stroke from patients failed to seek help increases. Most of them don’t even realize they have a stroke attack in the first place. Before a stroke takes place, an arrythmia of the heartbeat takes place beforehand. Detecting that can bring awareness to an individual beforehand and overcome a stroke attack that leads to death. This research paper has the aim to propose an AI device that immediately alerts the medical authorities before a stroke attack takes place. For the target population, mainly consists of Vascular Neurologists, patients that went through stroke attacks and Telemedicine engineers. The population will be sampled using stratified sampling and dividing them into subgroups. Besides, the data collection method used is the survey approach. In conclusion, it is possible that AI Stroke Detection system which is wearable can be used in telemedicine to provide real-time monitoring and healthcare. For future recommendations, special optimized healthcare plans can be implemented in the system to suggest the patients to change their current lifestyle to a healthy one depending on their medical background.