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Basheer Qolomany part of NU team studying peripheral artery disease Post Views: 931 Research project title: Machine learning applications for gait signatures in patients with peripheral artery disease Grant award: University of Nebraska Collaboration Initiative Grant. This project has been funded for a two-year total of $149,405. Project description: In this project we propose a novel approach for the detection and monitoring of peripheral artery disease (PAD) progression using wearable devices and machine learning to analyze human gait. The long-term goal of this project is to use wearable devices in concert with machine learning to improve the diagnosis and treatment of functional problems in patients with PAD outside the clinical setting.

University of nebraska at omahaUnited statesUniversity of nebraska at kearneyUniversity of nebraska medical centerBasheer qolomanyJianghu dongIraklis pipinosFadi alsaleemSara myersMichigan universityDepartment of biomechanicsUniversity of nebraskaUniversity of nebraska collaboration initiative grantDepartment of cyber systemsDepartment of biostatisticsPost views