Page 63 - tech fest 2025 ב״ש חוברת תקצירים

Assessing Delivered Pulse Energies by a Nonlinear Model
EEE-A-03
Yosef Avrahamovich; yosis3822@gmail.com
Advisor: Dr. Doron Bronstein
SCE - Shamoon College of Engineering, Be’er-Sheva
Atrial fibrillation is a common cardiac arrhythmia where the heart quivers and fails to contract efficiently. While not immediately dangerous, if untreated, it can lead to some serious health problems. Treatment options include medications, electrical cardioversion (shock therapy), electrical ablation (a highly focused, intense electrical pulse), and cardiac pacing. Unfortunately, many patients do not respond to medications well and require electrical treatments for better outcomes. Recent studies focus on using very short, high-intensity electrical pulses for cardiac pacing to reduce the energy delivered to the cells, minimizing cellular damage. This project was based on a nonlinear delivery model by Fitz-Hugh Nagumo, combined with rectangular pulses to eliminate the arrhythmia. This model provides deeper insights into an electric system in cells.
Keywords: atrial fibrillation, Fitz-Hugh Nagumo, minimum energy, nonlinear model
Fingerprint Identification
EEE-A-04
Ariel Cohen; arie.chn1@gmail.com Ofir Bar; ofirbar97@gmail.com
Advisor: Dr. Meir Yaakov
SCE - Shamoon College of Engineering, Be’er-Sheva
Fingerprint technology has become a crucial tool for citizen identification, replacing traditional methods. It analyzes the unique ridge and bifurcation patterns on fingertips to recognize identities. Clear ridge quality ensures accurate identification, while poor-quality images, caused by dry or wet ridges, pose challenges. Medium-quality images, although better, still require improvements. Developers work on enhancing image quality to address these issues.
Three algorithms were proposed to improve fingerprint identification. First, image quality is enhanced using brightness adjustments and convolutional filters to binarize ridgelines. Second, ridge thinning is performed to extract minutiae before final analysis. This step identifies and counts minutiae locations. Lastly, a matching algorithm compares the processed data with database templates. If a match exists, the system confirms the identity by a percentage of validation.
Keywords: binarizing ridgelines, fingerprint, identification, matching algorithm
Book of Abstracts | 2025
63