Biomedical signal processing, health and disease
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Biomedical signal processing, health and disease
Wed, 27/11/2013 - 14:15 to 15:15
Location:
Speaker:
Dr. Javier Escudero
Affiliation:
University of Edinburgh, School of Engineering
Synopsis:
Arguably, the brain is the most complex organ of the human body. Electrophysiological techniques such as the electroencephalogram provide an excellent opportunity to monitor the brain activity non-invasively with high temporal resolution in diverse mental diseases and states. In many cases, the brain diseases have a prodromal phase in which the brain is suffering pathological changes but the clinical symptoms have not appeared yet. Therefore, the patient’s quality of life is already affected by the time clinical diagnosis is made. The processing of the brain recordings may contribute to meet the need for objective means to monitor the brain diseases. Moreover, such techniques can be transferred to other applications, such as brain-computer interface and myoelectric control of prostheses. In this talk, results of previous research are presented in this context and potential future research lines are described.
Biography:
Dr. Javier Escudero is a recently appointed Chancellor’s Fellow in the School of Engineering at the University of Edinburgh. Previously, he was a research fellow at the School of Computing and Mathematics of Plymouth University. He received his PhD in 2010 from University of Valladolid, Spain. The thesis, which dealt with the processing of electromagnetic brain recordings with blind source separation techniques, was awarded a distinction by the Spanish Telecommunications Engineering Council. In 2009, he was a visiting researcher in the Centre for Digital Signal Processing at Cardiff University. His current research interests include the processing of biomedical recordings for clinical decision support and rehabilitation.
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