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    • ST1 - Ambient Assisted Living based on IoT Technologies
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Christos Frantzidis
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Christos Frantzidis

Aristotle University of Thessaloniki (GR)
  • @chfrantz
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Christos A. Frantzidis received the Diploma degree in electrical and computer engineering, in 2006, and the M.Sc. degree in medical informatics, in 2008, both from Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. He recently received from the same university (November 2014) his Ph.D. degree in the neurophysiological evaluation of non-pharmaceutical cognitive and/or physical interventions aiming to promote healthy aging. He is also collaborating with the Greek Association of Alzheimer Disease and Related Disorders and the Laboratory of Medical Physics, School of Health Sciences, Aristotle University of Thessaloniki towards the early detection of dementia-related neurophysiological patterns based on synchronization and brain-network analysis. He is also studying the effects of both physiological and pathological aging on emotional processing. His involvement in the FP7 EU funded project Long Lasting Memories / LLM (http://www.longlastingmemories.eu/) and the PharmaCog project (http://www.alzheimer-europe.org/Research/PharmaCog) lied on the data acquisition of EEG recordings and particularly for the LLM project on the neuro-physiological estimation of the cognitive decline of the elderly. He is the first author of the paper entitled as “What are the symbols of Alzheimer? A Permutation Entropy based symbolic analysis for the detection of early changes of the electroencephalographic complexity due to mild Alzheimer” gained the 3rd prize in the best student paper competition on the 12th IEEE Conference on BioInformatics and BioEngineering (BIBE 2012) held in Larnaca, Cyprus, 11-13 November, 2012.

Chair in

  • GT5 Biomedical Signal

    CBMS 2017
    Friday, June 23, 2017 - 14:00 to 15:30

Presentations

Session Title Presentation
GT5 Biomedical Signal

Towards multi-parametric hub scoring of functional cortical brain networks: An electroencephalographic (EEG) study across lifespan

Friday, June 23, 2017 - 14:00 to 15:30
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Posters II

Automatic Sleep Stage Classification Applying Machine Learning Algorithms on EEG Recordings

Saturday, June 24, 2017 - 09:00 to 15:45
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Posters II

Are elderly less responsive to emotional stimuli? An EEG-based study across pleasant, unpleasant and neutral Greek words

Saturday, June 24, 2017 - 09:00 to 15:45
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© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
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