Authors:
Agnieszka Roginska
1
;
Hariharan Mohanraj
1
;
Mark Ballora
2
and
Kent Friedman
3
Affiliations:
1
New York University, United States
;
2
Penn State, United States
;
3
NYU School of Medicine, United States
Keyword(s):
Sonification, Data Display, Data Visualization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Mining
;
Data Visualization
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Pattern Recognition and Machine Learning
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
Scans of brains result in data that can be challenging to display due to its complexity, multi-dimensionality, and range. Visual representations of such data are limited due to the nature of the display, the number of possible dimensions that can be represented visually, and the capacity of our visual system to perceive and interpret visual data. This paper describes the use of sonification to interpret brain scans and use sound as a complementary tool to view, analyze, and diagnose. The sonification tool SoniScan is described and evaluated as a method to augment visual brain data display.