Adil Khan 1 year ago
AdiKhanOfficial #FYP Ideas

Diagnosing Epilepsy using EEG

Epilepsy may stem from changes in the brain?s development, wiring, or chemicals. Doctors don?t know exactly what causes it, but it can start after an illness or damage to the brain. About 1 in 26 people will develop epilepsy at some point during their lifetime. There are around 180,000 new c

Project Title

Diagnosing Epilepsy using EEG

Project Area of Specialization

Computer Science

Project Summary

Epilepsy may stem from changes in the brain’s development, wiring, or chemicals. Doctors don’t know exactly what causes it, but it can start after an illness or damage to the brain.

About 1 in 26 people will develop epilepsy at some point during their lifetime. There are around 180,000 new cases of epilepsy each year. 

Doctors can have a difficult time diagnosing epilepsy. Your doctor may recommend certain expensive tests.

The purpose of this project is to determine epilepsy of a patient using an EEG headset. An electroencephalogram (EEG) can help your doctor diagnose a seizure. The sensors in the headset, will record the brainwaves and determine the changes happening in the brain. The data collected from the headset, will help the doctors examine the seizures. This process can replace the time taking procedure of taking all the tests manually. For the patient, the cost and time will be reduced.

Project Objectives

This project would provide a hardware to diagnose epilepsy using EEG. Patients and Doctors will be able to examine the brain activity of patients every moment. Also they will be able to determine which event triggered the seizure – and would be able prevent that event in future. To sum it up, patients wouldn’t have to take extra expensive tests on just a doubt. They will be able to confirm first that either they have epilepsy and all those expensive tests worth the handsome amount of money for a middle-class person.

Project Implementation Method

Discussing about the methodology, first EEG Sensors will collect the gamma signals. After that those signals will be filtered out or processed to cancel the noise from them. The processed the signals will be evaluated either they are normal or abnormal. The results will be stored on cloud – where complete user profile will be maintained. The doctors will be able to access those profiles when needed, to examine the patient’s conditions at different times.

Benefits of the Project

The benefits include a cost efficient and time saving technique to diagnose epilepsy at an early stage. Mostly, people with epilepsy avoid going to the doctor because of money. Without proper care and any prescribed medication, their condtition gets worse. Our project can save their money. Another benefit is that it will also inform which part of the brain is affected, in that case, surgical operations can cure the disease.

Technical Details of Final Deliverable

  • A wearable prototype
  • A mobile application

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Medical

Core Technology

Wearables and Implantables

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
EEG Sensors Equipment16250040000
Cap for Sensors Equipment170007000
Sensor Controller Board Equipment11000010000
Wifi Module Equipment110001000
Azure Web App Services Equipment11000010000
Battery Equipment120002000
Wires Miscellaneous 150101500
Cables Miscellaneous 3300900
Other Miscellaneous Miscellaneous 125006000
Shipment Miscellaneous 35001500
Total in (Rs) 79900
If you need this project, please contact me on contact@adikhanofficial.com
0
136
Awaaz

Spoken language is the medium of communication among the majority of the people, but perha...

1675638330.png
Adil Khan
1 year ago
Domain Specific Customization for RISC-V

This is an FPGA based project which mainly aims to optimize digital accelerator hardware f...

1675638330.png
Adil Khan
1 year ago
Design of Planar Antenna for 5G Communication

Our final year project focuses on the Design of a Pattern Diversified Microstrip...

1675638330.png
Adil Khan
1 year ago
Polyps Detection Using Image Segmentation Algorithms

Identification of polyps in endoscopic images is critical for the diagnosis of Colorectal...

1675638330.png
Adil Khan
1 year ago
Leaf Disease Detection

Leaf Disease Detection is an intelligent system based mobile application to detect leaf vi...

1675638330.png
Adil Khan
1 year ago