I will analyze eeg signals using signal processing and machine learning techniques

Are you working with EEG data for research, thesis, or a biomedical project?

I provide professional EEG signal processing and machine learning services tailored for academic and applied research.

As a Biomedical Engineer with hands-on experience in EEG, EMG, ECG, and ML-based analysis, I will help you convert raw EEG data into meaningful insights.

What I Offer:

EEG signal preprocessing (filtering, artifact removal)

Noise removal (EOG, EMG, powerline interference)

Feature extraction (time, frequency, wavelet features)

EEG band analysis (Delta, Theta, Alpha, Beta, Gamma)

Machine learning models (SVM, KNN, Random Forest, Logistic Regression, Neural Networks)

Classification (e.g., seizure detection, mental state, motor imagery)

Visualization (time plots, PSD, spectrograms, topographic maps)

Well-documented MATLAB or Python code

Research-ready results and explanations

Tools & Technologies:

MATLAB  

Python (NumPy, SciPy, MNE, Scikit-learn, TensorFlow/Keras)  

CSV, EDF, MAT EEG formats  

Ideal For:

Undergraduate / Masters / PhD students  

EEG-based research projects  

Brain-computer interface (BCI) work  

Paper or thesis support