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

Z
zafarahmad577
Z
zafarahmad577
Zafar Ahmad

Level 1

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

About this gig

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

  • AI engine

    • GPT
    • TensorFlow
    • PyTorch

  • Programming language

    • Python
    • Keras
    • Other

Get to know Zafar Ahmad

Zafar Ahmad

Spectral, Biomedical and Audio Signal Processing Engineer

5.0(6)

Level 1

  • FromPakistan
  • Member sinceFeb 2022
  • Avg. response time1 hour
  • Last delivery6 days

  • Languages

    English, Arabic
Signal processing engineer with an MS in Electrical Engineering from NUST. My research has been published at EUSIPESCO and ICAI, with two abstracts accepted at ESC Congress 2026. I help researchers, engineers and product teams get reliable answers from messy real-world signals: spectral and time-frequency analysis, denoising, feature extraction and machine learning for audio, biomedical (ECG, PCG, PPG, EEG) and vibration data, in MATLAB or Python. Every result comes with documented parameters and code. Send me a sample before ordering.

My Portfolio