AryaKoureshi/Revolutionizing-EEG-Signal-Analysis-Advanced-Noise-Reduction-Techniques

Stars
1
Language
Python
License
MIT License
Created 11 months ago
Updated 11 months ago

AryaKoureshi/Revolutionizing-EEG-Signal-Analysis-Advanced-Noise-Reduction-Techniques

AryaKoureshi

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Welcome to my repository dedicated to enhancing the clarity and quality of EEG (Electroencephalography) data through innovative noise reduction methodologies. This project lies at the confluence of neuroscience and data science, representing a significant leap in EEG signal processing.

Brain-tumor-detection

Implementation of medical image segmentation and deep learning framework with CNN and U-net

Jupyter Notebook

Advanced-Topics-in-Neuroscience

This repository contains homework assignments and projects completed for the course "Advanced Topics in Neuroscience" instructed by Dr. Ali Ghazizadeh at Sharif University of Technology.

SolSudo

SolSudo is a deep learning-based sudoku solver that solves sudoku by using images, using an intelligent prediction method to fill in blank digits one by one. It features image-based sudoku detection with tesseract-ocr but also has a manual input method.

Signal-Processing-and-Analysis-of-EEG-Data-Using-Python

This project demonstrates various signal processing techniques, such as signal generation, window functions, filtering, downsampling, zero-padding, and the application of time-frequency analysis using the Short-Time Fourier Transform (STFT).

Jupyter Notebook

Emotion-Detection

This repository contains the code for an Emotion Detection project using deep learning models and real-time processing. The project is implemented in Python using the TensorFlow framework and focuses on detecting human emotions from images and real-time video streams.

Jupyter Notebook

Experiment-and-Computational-Fluid-Dynamics-Simulation

This repository contains the code and data for simulating and analyzing the hydrodynamics of gas bubbles in tapered fluidized beds using CFD and image processing methods.

RBD

The project is an autoencoder convolutional network built with Keras and TensorFlow, capable of recognizing images of different sizes by converting them into 64x64 pieces and then piecing them back together.

EEG-Signal-Processing-GEVD-DSS

This repository contains my project focused on exploring and implementing Generalized Eigenvalue Decomposition (GEVD) and Denoising Source Separation (DSS) methods in signal processing.

Jupyter Notebook

SSVEP-Frequency-Analysis

This repository contains code for analyzing Steady-State Visually Evoked Potential (SSVEP) signals recorded from EEG data. The goal of this analysis is to determine the stimulation frequency from the EEG signals recorded in each test. Two methods are employed: Frequency Content Plotting and Canonical Correlation Analysis (CCA).

Jupyter Notebook

EEG-Signal-Analysis-for-P300-Extraction

Welcome to the EEG Signal Analysis repository, focusing on the extraction of P300 signals using synchronous averaging techniques. This project aims to provide insights into the optimal number of repetitions required to reliably capture the P300 response, a crucial component in various applications such as BCIs and cognitive neuroscience research.

Jupyter Notebook

IPM-AI

This repository contains quizzes and projects completed for the course "Artificial Intelligence" at IPM.

Jupyter Notebook

FIR-IIR-filters

FIR (Finite Impulse Response) and IIR (Infinite Impulse Response) are two types of filters commonly used in digital signal processing.

MCP

"Movement of Charged Particles" is a new project that uses Python to stimulate the movement of charged particles. This project was developed in collaboration with @aliejabbari.

Drug-Diffusion-Mathematical-Models

Mathematical models for drug diffusion through the compartments of blood and tissue medium.

python-mini-projects

This repository showcases a collection of my python mini projects. Each project showcases my skills in using Python programming language to solve real-world problems. From data analysis to web development, these projects cover a range of topics. Browse through the projects to see how I apply Python to tackle different challenges.

Artificial-Neural-Networks

This repository contains homework assignments and projects completed for the course "Artificial Neural Neworks" instructed by Dr. Saeed Bagheri at Sharif University of Technology.

CryptoPredictor-DL

Brain-Resource-Localization

This project aims to address the challenge of accurately locating brain resources using a three-layer spherical head model based on Maxwell's equations.

EEG-Signal-Classification-using-CSP-Features

This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.

Jupyter Notebook

AryaKoureshi

BTC-Predictor

Jupyter Notebook

JSL

Jupyter Notebook

Einsteins-Riddle

The Einstein Riddle, also known as the Zebra Puzzle, is a logic puzzle that consists of a grid of houses with different attributes such as nationality, color, drink, pet, and smoke. The challenge is to determine the correct arrangement of these attributes based on a set of clues.