Alzhraa Ahmed, M. Sc.
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that is most common in young adulthood resulting in different gait disorders. My research focuses on identifying biomarkers in the form of gait characteristics in patients with multiple sclerosis. Patients are equipped with inertial measurement units (IMU) from which objective spatio-temporal gait parameters can be obtained and analyzed. This can be used both for the assessment of the current state of the disease and for the prediction of the further course of the disease in the form of relapses. Furthermore, this could significantly slow down the course of the disease and possibly delay the accompanying mobility impairment over a very long period of time.
|since 10/2019||PhD Candidate
Machine Learning and Data Analytics Lab, Department of Computer Science
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
|04/2014 – 10/2017||M.Sc. in Computer Science
Master’s Thesis: “Human Activity Recognition from RGB-D videos”
|09/2007 – 06/2011||B.Sc. in Computer Science
Bachelor’s Thesis: “Content based Image Retrieval (CBIR)”
Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis
In: Multiple Sclerosis and Related Disorders 58 (2022), Article No.: 103519
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Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
In: Journal of neuroEngineering and rehabilitation 17 (2020), Article No.: 165
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- 09/2019 – Present: Postgraduate Scholarship at PhD Level from Egyptian Mission Sector