Zobrazeno 1 - 10
of 13
pro vyhledávání: '"David W. Browne"'
Publikováno v:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring).
Publikováno v:
Epilepsy & Behavior. 25(2):230-238
A seizure prediction algorithm is proposed that combines novel multivariate EEG features with patient-specific machine learning. The algorithm computes the eigenspectra of space–delay correlation and covariance matrices from 15‐s blocks of EEG da
Publikováno v:
WCNC
We consider the problem of simultaneous MIMO communication and jamming in the presence of interference. A multiantenna transmitter desires to reliably communicate at a high rate with a multiantenna receiver, while at the same time jamming the receive
Autor:
James R. Williamson, Elisabeth Bloch-Salisbury, Premananda Indic, Daniel W. Bliss, David W. Browne, David Paydarfar
Publikováno v:
BSN
Apnea of prematurity is a common developmental disorder in preterm infants that is implicated in a number of acute and long-term complications. Therapeutic stochastic resonance (TSR) is a noninvasive preventative intervention for stabilizing breathin
Autor:
David W. Browne
Publikováno v:
ACSCC
This work develops a method for predicting the activity of incumbent users of the radio spectrum so that an opportunistic user can schedule communications during anticipated periods of inactivity. The method uses a high-dimensional hidden Markov mode
Autor:
David W. Browne
Publikováno v:
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
Autor:
Daniel W. Bliss, David W. Browne, Elisabeth Bloch-Salisbury, Premananda Indic, David Paydarfar, James R. Williamson
Publikováno v:
ACSCC
Apnea of prematurity, a common developmental disorder in preterm infants, is implicated in long-term neurodevelopmental deficits. Preventative clinical interventions, such as mechanosensory stimulation, would benefit from predictive knowledge of when
Publikováno v:
ICASSP
A patient-specific seizure prediction algorithm is proposed that extracts novel multivariate signal coherence features from ECoG recordings and classifies a patient's pre-seizure state. The algorithm uses space-delay correlation and covariance matric
Autor:
David W. Browne
Publikováno v:
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
This work considers the problem of low-latency detection of unknown signals that appear intermittently in noise having unknown and perhaps non-stationary statistics. We show how to realize a detector having a guaranteed probability of false alarm wit
Autor:
Peter W. Macfarlane, Elaine N. Clark, B. Devine, Jodat Seyal, David R. Hampton, E. Miller, David W. Browne
Publikováno v:
Computers in Cardiology, 2004.
Recently published ACUESC criteria for acute MI were nor age and gender dependent. The aim of this study was to modifv the criteria by incorporating age and gender based limits of ST amplitude, together with other ST-T measures, and to assess the eff