Piotr Tojza

Papers

Total Citations

H-Index

About

Piotr Tojza is a researcher in biomedical signal processing and human-machine interaction, with a particular focus on electromyography (EMG) and rehabilitation engineering. His most-cited work, "Arm EMG Wavelet-Based Denoising System" (2014, 24 citations), introduces a sophisticated method for cleaning noisy EMG signals from arm muscles using wavelet transforms. This contribution is critical for improving the accuracy of prosthetic control, gesture recognition, and neuromuscular diagnostics, as noisy EMG data can severely impair system performance. By developing a denoising framework that preserves essential signal features while removing artifacts, Tojza has helped advance the reliability of non-invasive biosignal acquisition. His research sits at the intersection of signal processing, wearable sensors, and assistive technology, aiming to create more intuitive interfaces for individuals with motor impairments. Though his citation count is modest, the practical implications of his work are significant for the growing field of myoelectric control. Tojza’s contributions underscore the importance of robust preprocessing in real-world biomedical applications, making his research a valuable reference for engineers and clinicians developing next-generation rehabilitation devices.