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Seizure Police

Prizes won:

  • Runner up of the title "Most Ethical Hack/ For-good app" awarded by the gold sponsor: VISA, in the largest hackathon of the United Kingdom, Imperial College Hackathon 2019.

Inspiration & introduction:

In this hackathon, we aimed to solve the problem of lack of peer support during serious medical condition with technology. Every year in the UK, more than half a million people die from seizure and around 600 people die from seizure solely because of lack of lack of availability of other humans. Their lives could be saved if someone were around them and called the emergency services at the right time.

Using Java, we created an android app that notifies the NHS and the user's emergency contacts that they are currently suffering from a seizure. The application uses motion sensors of the phone, analysis the pace triggered by the movement of the user and tries to observe any abnormal behaviour that occurs in a short period of time. A concerned warning message pops up when an abnormal behavioural pattern is detected. If the user fails to respond to the message, it texts the user's information and location to the NHS's SMS services and also notifies the user's emergency contact. Connecting the patient to proper health services is the core idea of our application. This app also aims to replace the physical seizure sensor used in the medical industry which costs around 500$. Our application works on precise statistical analysis which reads the pedometer data when linked with fitness device and apps.

Based on testing in the hackspace, we came to the conclusion that our app is around 75% accurate, we believe that its accuracy will rise as we implement a machine learning algorithm in the app as one of the updates, and once we collect enough data. We aimed to implement a few more features.

Prerequisites:

To edit or reproduce the functionality of the app it is required to use Android Studio or InteLLiJ idea and Android Phone version 4.0 or higher with gyroscope, acceleration and gravity sensors.

Authors:

  • Kacper Kapusniak
  • Gagan Devagiri
  • Tan Dun Yuan
  • Jiang Jim
  • Ziyou Zhang

Screenshot of the application:

E

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Data-Driven Android app that detects seizures. Runner up at IC Hack '19

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