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Early Detection of Stroke Using Artificial Intelligence


Description Stroke is a main cause of long-term disability and the one of the leading cause of death in the world. There are several symptoms of a stroke, including word and speech disorder, swallowing disorder (dysphagia), or weakness in the face. For this research topic, we focus on the first symptom, word and speech disorder.
Task In this thesis, the student(s) will use state-of-the-art deep learning approaches to analyse the acoustic characteristics of strokes.
Utilises auDeep, Deep Spectrum System, (Deep Convolutional) Generative Adversarial Networks.
Requirements Preliminary knowledge in Machine Learning, Good programming skills (e.g. Python, C++)
Languages English and German.
Supervisor Shahin Amiriparian, M. Sc. (shahin.amiriparian@informatik.uni-augsburg.de)