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Abstract Details

Activity Number: 227
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #304893
Title: Graphical Representation of Clustered Functional Actigraphy Data
Author(s): Abbass Sharif*+ and Juergen Symanzik
Companies: Utah State University and Utah State University
Address: , , UT, 84322,
Keywords: visualization ; time series ; data envelopes ; data aggregation ; density-based plots ; data images

Human activity and rest patterns could be measured through a device called an actigraph, which collects measurements almost continuously over time. These actigraphy measurements are often treated as functional data. In this article, we first introduce four techniques to visually detect clusters in raw functional actigraphy data for patients with different depression levels. These techniques are: (i) density-based plots, (ii) data enveloping methods, (iii) data summing over time, and (iv) multivariate time series plots. No filtering, smoothing, or any other statistical techniques are required to implement these visualizations. Then, we provide a brief glance at the underlying implementation of these techniques in the R package ActiVis. We finish with a brief description of the graphical user interface for this R package.

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