Biostatistical Methods for Wearable and Implantable Technology by Prof. Ciprian Crainiceanu, Johns Hopkins University

Statistics Class of 60s Speaker

Abstract: Wearable and Implantable Technology (WIT) is rapidly changing the Biostatistics data analytic landscape due to their reduced bias and measurement error as well as to the sheer size and complexity of the signals.  In this talk I will review some of the most used and useful sensors in Health Sciences and the ever expanding WIT analytic environment.  I will describe the use of WIT sensors including accelerometers, heart monitors, glucose monitors and their combination with ecological momentary assessment (EMA).  This rapidly expanding data eco-system is characterized by  multivariate densely sampled time series​ with complex and highly non-stationary structures.  I will introduce an array of scientific problems that can be answered using WIT and I will describe methods designed to analyze the WIT data from the micro- (sub-second-level) to the macro-scale (minute-, hour- or day-level) data.

Wednesday, September 13, 2017 at 1:10pm to 1:50pm

Bronfman Science Center, Bronfman Auditorium

Event Type



Mathematics & Statistics

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