I will build and train ai models for eeg, ecg and pcg biomedical signal classification

Are you looking for cutting-edge AI solutions to analyze and classify biomedical signals like EEG, ECG, or PCG?

You are in the right place!

With expertise in Deep Learning, Machine Learning, and Signal Processing, I will design and train custom classification models tailored to your dataset and research goals. Whether you need models for healthcare research, academic projects, diagnostics, or real-time monitoring applications, I can deliver accurate and reliable results.

What I Offer

• Preprocessing and feature extraction of EEG, ECG, and PCG signals
• Training deep learning models (CNN, RNN, Attention, Hybrid architectures)
• State-of-the-art techniques for biomedical signal classification
• Comparative analysis with traditional ML models
• Performance metrics: Accuracy, Sensitivity, Specificity, Precision, F1-Score
• Well-documented code and detailed reports

Why Choose Me?

• Strong academic & research background in biomedical signal processing
• Hands-on experience with TensorFlow, PyTorch, MATLAB, and Python
• Customizable solutions for researchers, PhD/MS students, healthcare startups, and labs
• Professional delivery with clear explanations