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Class How to measure behavior in e-health?

  • Presentation

    Presentation

    The curriculum unit (UC) in question focuses on understanding and application of methods for quantification and observation of human behavior in the context of e-health and digital therapy. The course is structured to provide students with a basic knowledge of relevant tools and techniques, through a theoretical and practical focus.
  • Code

    Code

    ULHT6802-1-25369
  • Syllabus

    Syllabus

    1.Introduction : How to measure behavior in e-health?  2.Measurement tools in e-health : 2.1.Sensory-motricity platform  2.2.Sensors/ IoT 3.Ergonomics of the cyberspace 3.1.Clinical observation tools 4.Introduction to VR, ER and the metaverse:  4.1.In design  4.2.Second Life and the metaverse 
  • Objectives

    Objectives

    To acquire a basic understanding of human behavior quantification methods in the context of e-Health (O1) To acquire a basic understanding of human behavior observation methods  in the context of e-Health (O2)  
  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    This course  leans on learner-centered methods, where students are invited to play an active role, by solving problems related to measurement and observations of human behavior. Students will work in teams of 2 (CYBER-T) within a context of independent problem-solving of several exercises assigned in the course of the semester. 
  • References

    References

    Andreassi, J.L. (2009). Psychophysiology: Human Behavior and Physiological Response. London: Lawrence Erlbaum Associates, Publishers. Aminoff, M.J., Simon, R.R., Greenberg, D. (2005). Clinical Neurology. New York, McGraw-Hill Medical; 6 edition. ISBN-10: 0071423605 Blumenfeld, H. (2010). Neuroanatomy through clinical cases. Sunderland, Mass: Sinauer Associates. Cage., N. M. & Baars. B. J. (2018). Fundamentals of Cognitive Neuroscience: A beginner ¿s guide (2th Ed). Academic Press. Petrescu L, Petrescu C, Mitru¿ O, Moise G, Moldoveanu A, Moldoveanu F, Leordeanu M. Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection. Sensors (Basel). 2020 Dec 10;20(24):7088. doi: 10.3390/s20247088 Weibel RP, Grübel J, Zhao H, Thrash T, Meloni D, Hölscher C, Schinazi VR. Virtual Reality Experiments with Physiological Measures. J Vis Exp. 2018 Aug 29;(138):58318. doi: 10.3791/58318  
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