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Activity Number: 649
Type: Contributed
Date/Time: Thursday, August 4, 2016 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #321218 View Presentation
Title: Classification of Multivariate Time Series Data with Applications to ECIS
Author(s): Laura Tupper* and David Matteson
Companies: Cornell University and Cornell University
Keywords: time series ; high-dimensional ; classification ; clustering ; biophysics

We present multivariate time series analysis motivated by applications in biophysics. Electronic Cell-substrate Impedance Sensing measures the electrical behavior of a cell culture exposed to an alternating current; we can obtain time series by observing the changes in impedance, including components for resistance and capacitance, as the culture grows. Applying multiple AC frequencies to the culture yields several linked time courses. We then explore a feature space for the observations, to use in clustering or classifying different types of cells based on their electrical behavior, and determine which features are more robust to experimental variation.

Authors who are presenting talks have a * after their name.

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