Projects

Developed MU decoding algorithms and implemented NMF clustering techniques for robust human-machine interfacing.
Analyzed the impact of signal perturbations on motor unit identification and clustering performance.

Conducted experiments at University of Stuttgart investigating blood flow restriction effects on motor neurons.
Implemented HD-EMG signal processing and analyzed motor unit coherence and performance changes.

Advised students on experimental design and developed machine learning algorithms for prosthetic control.
Created real-time GUI using PyQt for data acquisition and improved prosthetic hand control systems.

Contributed to experimental design and participated in comprehensive data collection protocols.
Analyzed EMG, kinematic, and MEG data to identify correlations between brain dynamics and handwriting performance.

Contributed to experimental design and participated in high-frequency stimulation data collection.
Analyzed HD-EMG data and extended MEP analysis to cover spatial-temporal neural dynamics.

Contributing to experimental design and development of the innovative Dextrimeter device.
Integrated force measurements with TMS system and analyzed force patterns across different MVC levels.

Contributed to experimental design integrating high-density EMG and force measurements with mTMS.
Analyzed force output and HD-EMG spatial maps across different mTMS stimulation conditions.