Information dense summaries for review of patient performance in biofeedback rehabilitation

Weiwei Xu, Hari Sundaram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a novel visual design for information dense summaries of patient data with applications in biofeedback rehabilitation. The problem is important in review of large medical datasets where the clinicians require that both summary and all the performance details be shown at the same time. There are two main ideas (a) Summarizing data along the conceptual facets (accuracy / flow / openness) and the temporal facets (session / set / trial) in the biofeedback therapy. The conceptual facets represent key information needed by the experts to review patient performance. (b) Effectively present the data trends and the details in context of the entire performance. The summary incorporates ideas from graphic design and reveals the performance data at two time scales. Our preliminary user study is promising with some significant results. They indicate that our visual summaries are useful, functional and promote inquiry.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifteenth ACM International Conference on Multimedia, MM'07
Pages843-846
Number of pages4
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event15th ACM International Conference on Multimedia, MM'07 - Augsburg, Bavaria, Germany
Duration: Sep 24 2007Sep 29 2007

Publication series

NameProceedings of the ACM International Multimedia Conference and Exhibition

Other

Other15th ACM International Conference on Multimedia, MM'07
CountryGermany
CityAugsburg, Bavaria
Period9/24/079/29/07

Keywords

  • Multimedia
  • Stroke rehabilitation
  • Summarization

ASJC Scopus subject areas

  • Computer Science(all)

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