1. Mobile Application based detection of Seizures using Inertial Measurement Units and Emergency Care

This project involves the emulation of seizure event (using a foot massager) and using a wearable sensor's reading to discern the event of seizure and alert near and dear ones of the patient to prevent SUDEP (Sudden Unexpected Death in the event of epileptic seizure). 

• Configured a Raspberry Pi processor to detect an event of seizure using inputs from motion sensor strapped to an epilepsy patient.

•  Used Embedded Python to obtain samples from 3 axis accelerometer and designed algorithm to discern seizure events in patients.

• Configured the system to hold patient information in a cloud-based database (Google Firestore) and send notification to close ones when a seizure event is detected so as to enable swift action.