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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering

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Virginia Commonwealth University

2012

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Fracture Detection In Traumatic Pelvic Ct Images, Jie Wu, Pavani Davuluri, Kevin R. Ward, Charles Cockrell, Rosalyn H. Hargraves, Kayvan Najarian Jan 2012

Fracture Detection In Traumatic Pelvic Ct Images, Jie Wu, Pavani Davuluri, Kevin R. Ward, Charles Cockrell, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

Fracture detection in pelvic bones is vital for patient diagnostic decisions and treatment planning in traumatic pelvic injuries. Manual detection of bone fracture from computed tomography (CT) images is very challenging due to low resolution of the images and the complex pelvic structures. Automated fracture detection from segmented bones can significantly help physicians analyze pelvic CT images and detect the severity of injuries in a very short period. This paper presents an automated hierarchical algorithm for bone fracture detection in pelvic CT scans using adaptive windowing, boundary tracing, and wavelet transform while incorporating anatomical information. Fracture detection is performed on …


An Automated Optimal Engagement And Attention Detection System Using Electrocardiogram, Ashwin Belle, Rosalyn H. Hargraves, Kayvan Najarian Jan 2012

An Automated Optimal Engagement And Attention Detection System Using Electrocardiogram, Ashwin Belle, Rosalyn H. Hargraves, Kayvan Najarian

Computer Science Publications

This research proposes to develop a monitoring system which uses Electrocardiograph (ECG) as a fundamental physiological signal, to analyze and predict the presence or lack of cognitive attention in individuals during a task execution. The primary focus of this study is to identify the correlation between fluctuating level of attention and its implications on the cardiac rhythm recorded in the ECG. Furthermore, Electroencephalograph (EEG) signals are also analyzed and classified for use as a benchmark for comparison with ECG analysis. Several advanced signal processing techniques have been implemented and investigated to derive multiple clandestine and informative features from both these …