Open AccessVisualizing Information for Electromyographic Characterization
Author(s) -
Andrew Hamilton-Wright
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.08.043
Subject(s) - computer science , visualization , data science , human–computer interaction , data visualization , artificial intelligence
Visualization tools allow spatial reasoning abilities to be brought to bear on questions regarding whether enough data has been collected, and enhance physician's abilities to more deeply understand the data at hand.A case study is presented, outlining how interactive visualization techniques may be used to facilitate exploration based decision making in electromyographic diagnosis by providing a facility for deeper understanding of the available data
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom