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» Detection of Functional Networks In The Resting Brain
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ICASSP
2007
IEEE
14 years 1 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
ICASSP
2009
IEEE
14 years 2 months ago
Fusion of fMRI, sMRI, and EEG data using canonical correlation analysis
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separ...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
ICMLA
2010
13 years 5 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...
SAINT
2008
IEEE
14 years 1 months ago
Observing Walking Behavior of Humans Using Distributed Phenomenon Detection and Tracking Mechanisms
The utility of walking parameters such as stride length, cadence and gait velocity for monitoring motor functions of patients suffering from brain injury, Parkinson’s disease an...
Raja Bose, Abdelsalam Helal
ICC
2007
IEEE
109views Communications» more  ICC 2007»
14 years 1 months ago
A Robust Kolmogorov-Smirnov Detector for Misbehavior in IEEE 802.11 DCF
— The CSMA/CA protocols are designed under the assumption that all participant nodes would abide to the protocol rules. This is of particular importance in distributed protocols ...
Alberto López Toledo, Xiaodong Wang