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I will eeg signal processing and feature extraction for your research
About this Gig
Working with raw EEG data but stuck on turning it into usable features for your model or research paper? I can help.
I specialize in EEG signal processing and feature extraction for research, machine learning pipelines, and BCI (brain-computer interface) applications. Whether you need clean, well-documented features for a classifier or a full preprocessing-to-extraction pipeline, I'll deliver accurate, reproducible results.
What I offer:
Preprocessing (filtering, artifact removal, ICA, referencing) Time-domain features (mean, variance, Hjorth parameters, etc.) Frequency-domain features (band power: delta, theta, alpha, beta, gamma) Time-frequency features (wavelet transform, STFT, spectrogram-based) Nonlinear/entropy features (sample entropy, Lyapunov exponent, fractal dimension) Connectivity features (coherence, PLV, correlation) on request Clean, documented Python (MNE, SciPy, NumPy) or MATLAB (EEGLAB) code Feature matrix export ready for ML (CSV/Excel/NumPy array)
Who this is for:
- Researchers / grad students who need features for a paper or thesis
- ML engineers building EEG classifiers (emotion, seizure, sleep stage, motor imagery, etc.)
- Startups building BCI prototypes
My Portfolio
FAQ
Q: What file formats do you accept?
A: EDF, BDF, CSV, .mat, .set (EEGLAB), and most common EEG formats.
Q: Can you also build a classifier using the extracted features?
A: Yes — that's available as an add-on or you can order my ML classification gig separately.
Q: Do you sign NDAs for research data?
A: Yes, happy to sign an NDA before you share sensitive datasets.
Q: What if I don't know which features I need?
A: Message me your research goal (e.g. "classify sleep stages" or "detect seizures") and I'll recommend the right feature set before you order.
