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Signal Processing Aspects of the Visualization of Scientific Data: An Overview [email protected] du Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Aspects of the Visualization of Scientific Data: An Overview [email protected] Dennis Bergin MSIM 842 Old Dominion University

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Page 1: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Aspects of the Visualization of Scientific Data:

An Overview

[email protected]

Dennis Bergin

MSIM 842Old Dominion University

Page 2: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Aspects of the Visualization of Scientific Data:

An Overview

Objectives Signal Processing in Visualizing Scientific Data Spiral for Visualization of Serial Periodic data Research Visualization of Cardiac & Breath

Sounds Improve Visualization in Presentations

Motivation Explore visualization of scientific

data to improve presentation of dissertation research

Signal analysis & modification for real-time virtual pathology

Literature Search Signal Processing Aspects of Scientific Visualization, R.

Moorhead R., Z, 1995. Interactive Visualization of Serial Periodic Data, John Carlis,

1998. Investigations into Visualization and Significance of Phase

Relationships in Cardiac Rhythms, Eldon Nelson.

Heart and Breath Sound Visualization work by Hiroshima Makino, American Society of Anesthesiologists, 2002-2004,

Page 3: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

The Visualization Process

Mapping Numbers To Imagery

ShapeColorOpacity

Temperature Pressure Humidity Salinity Density

Velocity Stress

Sound Visualization

Visualization TypesExploratory or Interactive

Scientific Visualization

Page 4: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Issues

Aliasing Color ModelsAutomatic Feature Extraction

Presentation of Scientific Data

FilteringData CompressionMultiresolution

Page 5: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Issues

Techniques “Colorwheel” Streamlines Line Interval

Convolution Critical Point Analysis

Issues with Visualization of Time-Invariant 2D Data

Multivariate Visual

Ambiguity Screen Clutter Visual

Distortion

Scalar Contours Shading

Page 6: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Serial Periodic Data

Traditional ApproachesTimelines for Temporal DataDynamic Query Systems/Starfield DisplaysFocus+Context /Zoom Calendar Visualization

REQUIRES: Simultaneous display of serial and periodic attributes (e.g. seasonality)

Page 7: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Spiral Visualization

Year-month Consumption % For 12 Highly Consumed Foods, 1980 – 1988

Monthly Consumption % For All 112 Foods During the period 1980 – 1988

Indented Spiral, With Spokes Monthly Consumption %, 1980 – 1988

Page 8: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Spiral Visualization

Tightening a Spiral View of Sound Data from 5 Instruments.

Single Spoke of a Spiral Display of Neuron Firing Frequencies

Average and Maximum Groups Sizes for 2

Chimpanzees

Page 9: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Visualization of Cardiac Rhythms and Breathing Sounds

Investigations of Eldon Nelson

Phase Relationship of the EKG Data Graph

Page 10: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Visualization Work by Hiroshima Makino

Visualization of Heart Murmur

Page 11: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Visualization of Cardiac Rhythms and Breathing Sounds

3D Visualization of Breadth Sounds Using Visualization Sound Color Software

Page 12: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Visualization Work by Hiroshima Makino

3D Breathing Sounds Color Visualization

Page 13: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Aspects of the Visualization of Scientific Data:

An Overview

Comparison of Related Publications Nelson and Carlis identify need for better ways to classify scientific data. Not a great deal of work in this area.Makino, Nelson research in visualizing sound dataMuch research in sonification of data - different, but related

Strengths & Weakness of the ContentGood job of identifying needed areas of improvement Sufficient overview of signal processing aspects of scientific data visualizationLacking details for implementing spirals Makino’s work was described clearly and concisely in abstracts

Page 14: Signal Processing Aspects of the Visualization of Scientific Data: An Overview dberg007@odu.edu Dennis Bergin MSIM 842 Old Dominion University

Signal Processing Aspects of the Visualization of Scientific Data:

An Overview

Useful Applications & Possible Extensions of Work

Spirals for Visualization of Seasonal & Frequency Data

Musical, Pathology, and Other serial periodic data

Impact on the State of the ArtSpirals Effective to Visualize Serial Periodic Data

Provides visual cues to both serial and periodic aspects of the data, and interactions such as the change in period over timeMultiple Common Data Sets and Multiple-link Views, Data Exploration