Step into the forefront of biomedical signal processing with my expert capabilities. With a robust background in this field, I've successfully tackled numerous classification challenges, including Phonocardiogram for both pediatric and adult heart sounds, stress analysis from ECG signals, and sleep stage classification using ECG and EEG.
But that's just the start. I excel in enhancing audio signals for deep learning applications, specializing in tracking, pitch-shifting, denoising, preprocessing, and data augmentation. My expertise shines in handling biomedical signals within the sensitive range of 0.075 Hz to 20k HZ, ensuring precision and accuracy in low-frequency, high-sensitivity environments.
Let's harness the power of cutting-edge signal processing to unlock new potentials in biomedical research and technology!
I will do analysis of:
- Phonocardiogram Signal (PCG)
- ECG Signal
- EEG Signals
- Audio Signals (.wav, mp3, mp4)
- Video Signals
Preprocessing of signals includes.
- Denoising
- Pitch-shifting
- Frequency Alterations
- Data augmentation
- Spectral Analysis
Please note, I accept files in .wav, mp3, mp4 or video form. Images, PDF and word files are also acceptable for manual analysis.