Neurological Analyzer

The beneficiary of the project will be the small clinics where the device will be available easily due to its lesser price and at homes as well. Enabling immediate and cheap checkups for patients and get rid of expensive tests.

Project Title

Neurological Analyzer

Project Area of Specialization

Computer Science

Project Summary

• Causes of natural deaths may include brain diseases like brain tumor and hemorrhage. Patients suffering from these diseases require immediate checkups
• Unfortunately, machines for the checkup of brain are not available in every clinic due to high prices and homes as well.
• The project will detect whether the patient have tumor or hemorrhage as well as due to lesser price (comparatively) it will be available in most clinic.

Project Objectives

• The project will detect whether the patient have tumor or hemorrhage as well as due to lesser price (comparatively) it will be available in most clinic.

Project Implementation Method

1. EEG device will generate brainwaves of patient then output is integrated with UI design of mobile application and it will detect the type and level of brain illness through DEEP learning algorithms.
2. Python, React Native, MATLAB, Visual code.
3. - Dataset for the model is available on different websites like Kaggle, OpenBCI etc                     - Neuroscience Hospitals

Benefits of the Project

The beneficiary of the project will be the small clinics where the device will be available easily due to its lesser price and at homes as well. Enabling immediate and cheap checkups for patients and get rid of expensive tests.

Technical Details of Final Deliverable

• Project is based on neurosciences. Human brain consists of more than ten billion neurons and all activities of human being based on neurons.
• These neurons send electrical signals.
• Our brainwaves change according to what we’re doing and feeling. When slower brainwaves are dominant, we can feel tired, slow, sluggish, or dreamy. The higher frequencies are dominant when we feel wired, or hyper-alert. These waves can be carried out through BCI (Brain – Computer Interface) technology and EEG (Electro-Encephalogram). 

1. Algorithm Or technique:

Dataset of brainwaves can handle through AI and the suitable algorithm is NEURAL NETWORK which is the algorithm of DEEP LEARNING because application will be dealing with large amount of data.

Final Deliverable of the Project

Hardware System

Core Industry

Health

Other Industries

Medical

Core Technology

NeuroTech

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com