Conferencia Ralf Seepold (Universidad HTWG Konstanz, Germany): “Parameter set selection and classification of sleep phases tracing biovital data”.

Resumen:Sleep is an important part of our life, since we spend, on average, one third of it sleeping. Studies have shown that essential health functions like memory consolidation, organ repair and growth occur almost completely during sleep. To evaluate the quality of a person´s sleep it is necessary to identify the sleep stages and their durations. It is a known fact that changes in brain activity and physiological functions are quite profound during sleep. Nowadays there is a rich diversity of sleep monitoring systems available on the market. They promise to offer information about sleep quality of a user by recording a limited number of vital signals, mainly heart rate and body movement. Currently, the gold standard in terms of sleep analysis is overnight polysomnography (PSG), during which several techniques like EEG (eletroencephalogram), EOG (electrooculogram), EMG (electromyogram), ECG (electrocardiogram), SpO2 (blood oxygen saturation) and for example respiratory airflow and respiratory effort are recorded. These expensive and complex procedures, applied in sleep laboratories, are invasive and unfamiliar for the subjects and it is a reason why it might have an impact on the recorded data. One goal is to find a reduced complexity method to process a minimum number of bio vital signals, while providing accurate sleep classification results. The presentation will give an inside into the current status of research and application of techniques suited to make more accurate statements about sleep-wake phases or even the classification into the different stages.

Bio: Ralf Seepold is professor for Ubiquitous Computing at HTWG Konstanz (Germany). Ralf obtained his MSc from the University of Paderborn and his Ph.D. from the University of Tübingen. He has been working as an Associate Professor for Telecommunication Engineering and Telematics at the University Carlos III of Madrid Currently, Ralf is heading the UC-Lab (@UCLabHTWG) research group. Biomedical computing is one competence area of his Lab. This area is dedicated to biometric sensors and sensor integration, bio vital signal processing, embedded systems and prototyping platforms, telemedicine, eHealth/eCare and body area networks. Ralf is member of the Faculty of the IEEE EMBS Summer School on Emerging Applications and Technologies in Telemedicine, elected Topic Group Leader of the working group on 'Interfaces' in the Smart Home & Living cluster and organizer of many sessions in international conferences like IEEE EMBS International Conference on Biomedical and Health Informatics, Mediterranean Conference on Medical and Biological Engineering and Computing or International Work-Conference on Bioinformatics and Biomedical Engineering. More information.

Fecha: 19 de Mayo de 2016.