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Dr. Athanasios Tsanas (‘Thanasis’), EPSRC post-doctoral research fellow, Oxford Centre for Industrial and Applied Mathematics & Institute of Biomedical.

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Presentation on theme: "Dr. Athanasios Tsanas (‘Thanasis’), EPSRC post-doctoral research fellow, Oxford Centre for Industrial and Applied Mathematics & Institute of Biomedical."— Presentation transcript:

1 Dr. Athanasios Tsanas (‘Thanasis’), EPSRC post-doctoral research fellow, Oxford Centre for Industrial and Applied Mathematics & Institute of Biomedical Engineering, University of Oxford Current issues in healthcare 2. Probabilistic Parkinson’s disease detection using speech signals Centre for Doctoral Training in Healthcare Innovation

2 The Problem Death of dopaminergic cells in basal ganglia  Dopaminergic cells facilitate motor control  60-80% dopaminergic cells have died before clinical diagnosis  too late to intercept Parkinson’s disease symptom progression No known biomarker of Parkinson’s disease (PD)  Difficult diagnosis: 100% only post-mortem  Speech may be one of the earliest indicators of PD onset Early diagnosis can improve the quality of life of PD subjects  Optimized treatment (hitherto no known cure available)  Possibly surgery at later stages

3 Speech signals & PD problems  Lungs: inefficient control of expiration  Vocal folds: incomplete collision, vortices, aperiodicity  Vocal tract: loss of muscle co-ordination

4 General methodology Speech signal Extract feature vector Feature selection Report results Statistical machine learning (mapping features  PD) Sustained vowel “ahh…”

5 Questions  What sort of speech characteristics should we be aiming to extract from the signals?  Which are the state of the art speech signal processing algorithms, and can you suggest some ways to extend/improve them?  Who are the leading researchers/research groups on the topic of mining speech signals for medical information?  Hint: background information, and check some useful references: http://people.maths.ox.ac.uk/tsanas/Preprints/DPhil%20thesis.pdf http://people.maths.ox.ac.uk/tsanas/Preprints/DPhil%20thesis.pdf


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