health – vialab | Dr. Christopher Collins

PhysioEx: Visual Analysis of Physiological Event Streams

Contributors:

Rishikesan Kamaleswaran, Christopher Collins, Andrew James, and Carolyn McGregor

In this work, we introduce a novel visualization technique, the Temporal Intensity Map, which visually integrates data values over time to reveal the frequency, duration, and timing of significant features in streaming data. We combine the Temporal Intensity Map with several coordinated visualizations of detected events in data streams to create PhysioEx, a visual dashboard for multiple heterogeneous data streams. We have applied PhysioEx in a design study in the field of neonatal medicine, to support clinical researchers exploring physiologic data streams. We evaluated our method through consultations with domain experts. Results show that our tool provides deep insight capabilities, supports hypothesis generation, and can be well integrated into the workflow of clinical researchers.

EuroVis 2016 Presentation Slides

Publications

Acknowledgements

Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics

Contributors:

Stephen McIntyre, J. Mikael Eklund, and Christopher Collins

We present an interactive visualization tool for exploring RR interval data (the time between consecutive heartbeats) to support diagnostics. An RR interval sequence diagram allows us to reduce hours of data into a general overview as opposed to using short-term ECG strips. A simple moving average is applied to the sequence diagram to smooth out short-term variance and highlight long-term trends. The moving average is surrounded by standard deviation bands which allow us to see the fluctuations invariance. After a brief training period using these tools coupled with RR interval and RR interval difference histograms, non-expert participants (undergraduate students) were able to differentiate between normal, atrial fibrillation, and congestive heart failure.