MBI Spring Lecture will go ONLINE and it's open to all registered participants worldwide. Check the time difference (Taiwan GMT+8; Time Zone Converter) and join us. Registration is needed in order to be granted with the access. To join the webinar, please enter your name, email address and password.
The event is closed.
09:00am - 09:10am Preparation
09:10am - 09:20am Opening (Kuan-Pin Su)
09:20am - 10:10am Speech (Paola Pedrelli)
10:10am - 10:30am Discussion
-MODERATOR: Kuan-Pin Su, MD, PhD
-SPEAKER: Paola Pedrelli, PhD
-TALK TITLE: From Machine to Mind: Leveraging Smart Phones and Wearable Sensors to Assess Depressive Symptoms
-ABSTRACT: Unlike other fields of medicine, psychiatry does not rely on objective indices to diagnose mental health disorders and to assess symptoms severity. Recent advances in the fields of engineering, computer science, and computational science have led to the development of novel methods to quantify and measure behavioral phenotypes of mental health disorders. In this presentation, Dr. Pedrelli will describe the concept of digital phenotyping and outline research measuring depressive symptoms severity by passively collecting objective behavioral and physiological data with wearable and mobile sensors.