Information dense summaries for review of patient performance in biofeedback rehabilitation

  • Authors:
  • Weiwei Xu;Hari Sundaram

  • Affiliations:
  • Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ

  • Venue:
  • Proceedings of the 15th international conference on Multimedia
  • Year:
  • 2007

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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.