Adil Khan 1 year ago
AdiKhanOfficial #FYP Ideas

EEG signals based user authentication

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in lat

Project Title

EEG signals based user authentication

Project Area of Specialization

Artificial Intelligence

Project Summary

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in late detection. Our system will automate the process of diagnosis with higher precision in early stage of encephalitis and encephalopathy. With the help of this automated system, the patient can be treated well and will more likely recover because of early detection. The goal is to detect the encephalitis and encephalopathy at the early stages and to make the better with higher chances of recovery. Our system will analyze the EEG brain signals of the patient and will diagnose the disorders on the basis of EEG signals. This process can take time if done manually, our product will make the process faster and may save lives. Our product will make the job of doctors easier by assisting them and make the process efficient and faster.
 

Project Objectives

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in late detection. Our system will automate the process of diagnosis with higher precision in early stage of encephalitis and encephalopathy. With the help of this automated system, the patient can be treated well and will more likely recover because of early detection. The goal is to detect the encephalitis and encephalopathy at the early stages and to make the better with higher chances of recovery. Our system will analyze the EEG brain signals of the patient and will diagnose the disorders on the basis of EEG signals. This process can take time if done manually, our product will make the process faster and may save lives. Our product will make the job of doctors easier by assisting them and make the process efficient and faster.
 

Project Implementation Method

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in late detection. Our system will automate the process of diagnosis with higher precision in early stage of encephalitis and encephalopathy. With the help of this automated system, the patient can be treated well and will more likely recover because of early detection. The goal is to detect the encephalitis and encephalopathy at the early stages and to make the better with higher chances of recovery. Our system will analyze the EEG brain signals of the patient and will diagnose the disorders on the basis of EEG signals. This process can take time if done manually, our product will make the process faster and may save lives. Our product will make the job of doctors easier by assisting them and make the process efficient and faster.
 

Benefits of the Project

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in late detection. Our system will automate the process of diagnosis with higher precision in early stage of encephalitis and encephalopathy. With the help of this automated system, the patient can be treated well and will more likely recover because of early detection. The goal is to detect the encephalitis and encephalopathy at the early stages and to make the better with higher chances of recovery. Our system will analyze the EEG brain signals of the patient and will diagnose the disorders on the basis of EEG signals. This process can take time if done manually, our product will make the process faster and may save lives. Our product will make the job of doctors easier by assisting them and make the process efficient and faster.
 

Technical Details of Final Deliverable

We are creating the "Post Dengue Brain Abnormality Detection System" to help patients and assist doctors diagnose the implications of dengue on nervous system causing encephalitis and encephalopathy which can further lead to epilepsy. Currently, the diagnosis is done manually which can result in late detection. Our system will automate the process of diagnosis with higher precision in early stage of encephalitis and encephalopathy. With the help of this automated system, the patient can be treated well and will more likely recover because of early detection. The goal is to detect the encephalitis and encephalopathy at the early stages and to make the better with higher chances of recovery. Our system will analyze the EEG brain signals of the patient and will diagnose the disorders on the basis of EEG signals. This process can take time if done manually, our product will make the process faster and may save lives. Our product will make the job of doctors easier by assisting them and make the process efficient and faster.
 

Final Deliverable of the Project

Hardware System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
EEG headset Equipment000
Total in (Rs) 0
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