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Professor Dr Katarzyna Wac Distinguished Speaker Biosensors for Telemonitoring of the Patients

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11:00am New Jersey Time 17:00 Geneva Time Professor Dr Katarzyna Wac Distinguished Speaker IEEE Computer Society with PACE SIGHT Group and Women in Engineering Biosensors for Telemonitoring of the Patients The availability of miniaturized, wearable, personalized sensors and powerful mobile phones (smartphones) enable the development of a magnitude of services for ubiquitous monitoring of behavioral markers of individuals in daily life environments, i.e., outside strict clinical settings. A behavioral marker is defined as a specific behavior in any of the three domains—physical, psychological or social, leveraged to indicate/measure the change in individual’s condition (e.g., for a purpose of diagnosis), the effects of preventive, treatment or rehabilitation activities, or a progress of disease. The technologies for behavioral marker assessment are ready—hardware and software technologies are available at affordable prices and research on advanced algorithms for state assessment is ongoing. In this presentation, we give an example of ubiquitous technologies for the ambulatory assessment of an individual’s behavioral markers related to his/her – physical state (heart rate, body temperature, blood pressure, respiration, etc.), physical activity, medication intake, fatigue and pain, sleep quality – psychological state in terms of moods, feelings, memory and concentration, – social state in terms of relationships and social interactions, including social relationships with fellow patients suffering from the same disease. We will also give an example of environmental state assessment technologies for noise, pollution, or transportation usage, influencing the individual’s state and behaviors in all three above-mentioned domains. We discuss these technologies in terms of their design space and provided features, and their strengths and barriers for user adoption and scaling. The challenge lies in the methodological aspects of the approach, where the data collected in the individual’s daily life environments must be of a particular quality to inform the clinical decisions taken. The questions are raised about where, when and what to measure, how to make sense of data, how to extract and fuse relevant features, how to use the data in individual cases (“personalized analytics”), what to consider as constituting the evidence on effectiveness of a given treatment or rehabilitation activity, and how to link that to clinical outcomes for a given patient. Co-sponsored by: Computer Chapter, PACE SIGHT, WIE Speaker(s): Professor Dr Katarzyna Wac, Agenda: Introductions Presentation Questions and Discussion Virtual: https://events.vtools.ieee.org/m/349801

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