Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients BJ Drew, P Harris, JK Zègre-Hemsey, T Mammone, D Schindler, ... PloS one 9 (10), e110274, 2014 | 441 | 2014 |
TDOA based direct positioning maximum likelihood estimator and the Cramer-Rao bound N Vankayalapati, S Kay, Q Ding IEEE transactions on aerospace and electronic systems 50 (3), 1616-1635, 2014 | 120 | 2014 |
Inconsistency of the MDL: On the performance of model order selection criteria with increasing signal-to-noise ratio Q Ding, S Kay IEEE Transactions on Signal Processing 59 (5), 1959-1969, 2011 | 56 | 2011 |
Respiratory rate monitoring from the photoplethysmogram via sparse signal reconstruction X Zhang, Q Ding Physiological measurement 37 (7), 1105, 2016 | 32 | 2016 |
A parametric classification rule based on the exponentially embedded family B Tang, H He, Q Ding, S Kay IEEE Transactions on Neural Networks and Learning Systems 26 (2), 367-377, 2015 | 29 | 2015 |
Respiratory rate estimation from the photoplethysmogram via joint sparse signal reconstruction and spectra fusion X Zhang, Q Ding Biomedical Signal Processing and Control 35, 1-7, 2017 | 27 | 2017 |
Improving the accuracy of Laplacian estimation with novel multipolar concentric ring electrodes O Makeyev, Q Ding, WG Besio Measurement 80, 44-52, 2016 | 25 | 2016 |
Probability density function estimation using the EEF with application to subset/feature selection S Kay, Q Ding, B Tang, H He IEEE Transactions on Signal Processing 64 (3), 641-651, 2015 | 24 | 2015 |
Is the sequence of superalarm triggers more predictive than sequence of the currently utilized patient monitor alarms? Y Bai, D Do, Q Ding, JA Palacios, Y Shahriari, MM Pelter, N Boyle, ... IEEE Transactions on Biomedical Engineering 64 (5), 1023-1032, 2016 | 20 | 2016 |
Agile multi-modal tracking with dependent measurements JJ Zhang, Q Ding, S Kay, A Papandreou-Suppappola, M Rangaswamy 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010 | 15 | 2010 |
Exponentially embedded families for multimodal sensor processing S Kay, Q Ding 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 15 | 2010 |
Multimodal information fusion for robust heart beat detection Q Ding, Y Bai, YB Erol, R Salas-Boni, X Zhang, L Li, X Hu Computing in Cardiology 2014, 261-264, 2014 | 13 | 2014 |
Maximum likelihood estimator under a misspecified model with high signal-to-noise ratio Q Ding, S Kay IEEE Transactions on Signal Processing 59 (8), 4012-4016, 2011 | 13 | 2011 |
Developing new predictive alarms based on ECG metrics for bradyasystolic cardiac arrest Q Ding, Y Bai, A Tinoco, D Mortara, D Do, NG Boyle, MM Pelter, X Hu Physiological measurement 36 (12), 2405, 2015 | 10 | 2015 |
Joint pdf construction for sensor fusion and distributed detection S Kay, Q Ding, D Emge 2010 13th International Conference on Information Fusion, 1-6, 2010 | 9 | 2010 |
A learning-based cost management system for cloud computing Q Ding, B Tang, P Manden, J Ren 2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018 | 8 | 2018 |
Multiple sensor integration for seizure onset detection in human patients comparing conventional disc versus novel tripolar concentric ring electrodes O Makeyev, Q Ding, IE Martínez-Juárez, J Gaitanis, SM Kay, WG Besio 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 8 | 2013 |
On the performance of independent processing of independent data sets for distributed detection S Kay, Q Ding IEEE Signal Processing Letters 20 (6), 619-622, 2013 | 7 | 2013 |
Autoregressive modeling of Raman spectra for detection and classification of surface chemicals Q Ding, S Kay, C Xu, D Emge IEEE Transactions on Aerospace and Electronic Systems 48 (1), 449-467, 2012 | 7 | 2012 |
Sensor integration for classification S Kay, Q Ding, M Rangaswamy 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals …, 2010 | 7 | 2010 |