Faculty Members Publish Research at International Conference

A team of faculty members from the Electrical Engineering Department, including Dr. Khalida Rajab Shaban, Mr. Eyad Asaad Ibrahim, and Mr. Muhammad Ihsan Safi, presented their research at the 17th Scientific Conference on Biomedical Engineering Systems, held in Berlin, Germany.
The research, titled “Automatic Tuning Frequency Band Noise Removal of Motor Unit Action Potentials,” focused on processing motor unit action potentials in skeletal muscles using a spatial filter (IB2) combined with noisy signals. The study applied a fourth-order Butterworth band-pass filter with automatic frequency band adjustment, calculated dynamically.
Tests were conducted using action potential signals across various individuals, genders, and muscle types. The findings revealed that the optimal transition frequency band cutoff values corresponded to frequencies greater than or equal to 12–14% of the average frequency energy. The proposed system significantly improved the signal-to-noise ratio by 1–3 dB compared to pre-filtering signals.