Abstract
SMART STROKE PREDICTION
Suresh M.*, Vani S. Badiger and Vinodha G.
ABSTRACT
This IoT project aims to develop a comprehensive Brain Stroke Detection and Notification System utilizing an ARM microcontroller and machine learning techniques. The system collects vital health data, including ECG values from an ECG sensor, heartbeat data from a heartbeat sensor, temperature measurements using a temperature sensor, and blood pressure (BP) and SpO2 data from a MAX3050 sensor. These real-time data streams are displayed on an LCD for immediate monitoring and are wirelessly transmitted through Zigbee communication to a central hub.
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