AI-Powered Alzheimer’s Disease Detection Using EEG Signals
by admin | Oct 22, 2025 | blog | 2 comments
🧠 NeuroDetect: AI-Powered EEG Analysis for Early Detection of Alzheimer’s Disease
Abstract: NeuroDetect is an intelligent EEG-based diagnostic support system designed to identify early neurodegenerative patterns associated with Alzheimer’s disease. By leveraging advanced signal processing and machine learning, the system analyzes EEG biomarkers such as Alpha Power and Coherence to deliver fast, non-invasive, and cost-effective early screening.
ABSTRACT
NeuroDetect bridges the gap between raw EEG signals and clinical decision-making. The system extracts meaningful neural biomarkers using spectral analysis and applies machine learning classification to detect abnormal cognitive patterns. It provides clinicians with interpretable dashboards, automated PDF reports, and confidence scores — enabling early intervention before severe cognitive decline occurs. Alzheimer’s disease is a progressive neurodegenerative disorder that primarily affects memory, cognition, and behavior, often remaining undiagnosed until significant brain damage has already occurred. Conventional diagnostic approaches such as cognitive assessments, MRI, and PET scans are either subjective, expensive, or invasive, making them unsuitable for large-scale early screening. Electroencephalography (EEG) offers a non-invasive and cost-effective alternative by capturing brain electrical activity that reflects early functional changes associated with Alzheimer’s pathology. The proposed NeuroDetect system leverages advanced signal processing and machine learning techniques to analyze EEG biomarkers such as Alpha power reduction and functional connectivity degradation. By automating EEG feature extraction, classification, and report generation through a web-based interface, the system transforms raw neurological data into clinically interpretable insights. NeuroDetect enables fast, reliable, and accessible early detection, supporting timely intervention and improved patient outcomes.
EXISTING SYSTEM
- Relies on clinical interviews and cognitive questionnaires
- Manual EEG interpretation requiring expert neurologists
- High dependency on MRI and PET scans
- Offline analysis using MATLAB/MNE tools
- Late detection of Alzheimer’s symptoms
DISADVANTAGES
- Alzheimer’s often detected at advanced stages
- High cost and limited accessibility of imaging tools
- Subjective diagnosis influenced by education and language
- No standardized or automated EEG analysis
- Lack of differential diagnosis between Depression and Alzheimer’s
PROPOSED SYSTEM
NeuroDetect introduces an automated, non-invasive Alzheimer’s screening system using resting-state EEG signals. The system detects pathological EEG patterns such as reduced Alpha power and weakened functional connectivity between brain regions. A centroid-based machine learning classifier evaluates 10-second EEG epochs and generates a confidence score indicating abnormal cognitive activity. The proposed NeuroDetect system introduces an automated, non-invasive Alzheimer’s screening framework based on resting-state EEG signals. The system focuses on detecting pathological EEG characteristics such as reduced Alpha band power in occipital regions and weakened functional connectivity between frontal and occipital brain areas. By applying signal preprocessing, spectral analysis, and coherence measurement, meaningful neural biomarkers are extracted from raw EEG data. These biomarkers are analyzed using a centroid-based machine learning classifier that evaluates segmented EEG epochs to generate a confidence score indicating abnormal cognitive activity. NeuroDetect provides clinicians with interactive dashboards, waveform visualizations, and auto-generated PDF reports through a secure web interface. The system supports early diagnosis, differential screening for depression, and actionable decision support — making Alzheimer’s detection faster, more accessible, and clinically interpretable.
KEY BIOMARKERS ANALYZED
- Alpha Power (O1 – Left Occipital)
- Alpha Power (O2 – Right Occipital)
- Coherence between O1–Fz
- Coherence between O2–Fz
MODULES
- 📥 EEG Data Upload & Validation Module
- 📊 Signal Preprocessing & Visualization Module
- 📈 Spectral Feature Extraction Module (FFT & PSD)
- 🔗 Connectivity Analysis Module
- 🧠 Alzheimer’s Classification Engine
- 😔 Depression Risk Assessment Module
- 🖥️ Web Interface & Session Management Module
- 📄 Automated Reporting & Decision Support Module
ADVANTAGES
- ✅ Early detection of Alzheimer’s disease
- ✅ Non-invasive and low-cost EEG-based diagnosis
- ✅ Highly interpretable clinical biomarkers
- ✅ Automated PDF diagnostic reports
- ✅ Supports large-scale screening
- ✅ Reduces dependency on expert neurologists
SOFTWARE & TECH STACK
- Backend: Python 3.10.9 (Flask)
- Signal Processing: SciPy, MNE
- Machine Learning: Centroid Classifier
- Frontend: HTML, CSS, JavaScript
- Visualization: Matplotlib
- Reporting: html2pdf.js
- OS: Windows 10 / macOS
DEMO VIDEO
Watch the full demonstration of the Alzheimer’s Disease Detection system:
YouTube:
INCLUDED PACKAGE
- 📘 Base Paper
- 💻 Complete Source Code
- 📄 Project Documentation
- 📊 PPT
- 📐 UML Diagrams
- 🗂️ Dataset & DB Files
- 🖼️ Screenshots
- ⚙️ Execution Steps
- 🎓 Tutorials & Add-ons
SUPPORT & SERVICES
- 📞 Ticket & Chat Support
- 🎥 Video Walkthrough Assistance
- 💻 Remote Installation Support
- 🧩 Code & Document Customization
- 🗂️ Live Technical Consultation
Contact: xpertieee@gmail.com
Explore more AI & ML projects at ieeexpert.com
CONCLUSION
NeuroDetect demonstrates how artificial intelligence and EEG signal analysis can transform early Alzheimer’s diagnosis. By combining machine learning with clinically interpretable biomarkers, the system enables timely intervention, standardized reporting, and accessible cognitive health screening — paving the way for smarter neurodiagnostics.
Disclaimer: This system provides AI-assisted diagnostic support and is not a replacement for certified medical diagnosis. Clinical confirmation by healthcare professionals is recommended.
FAQ
What is NeuroDetect?
An AI-powered EEG analysis system for early detection of Alzheimer’s disease and depression risk.
Is EEG data secure?
Yes. All EEG files are processed in isolated sessions and stored securely.
Can it replace MRI or PET scans?
No. NeuroDetect acts as an early screening and decision-support tool, not a replacement for imaging diagnostics.