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Journal Articles
- 2019
[j9]Jinfu Zheng, Ramiro Liscano, Somayyeh Aghababaei, Iuliia Chepurna, J. Mikael Eklund:
Improving Localization in Sensor Networks by Leveraging Inter-node Ranking of Received Signal Strength and Clustering. Ad Hoc Sens. Wirel. Networks 44(3-4): 241-263 (2019)- 2012
- [j8]J. Mikael Eklund, Jonathan Sprinkle
, Shankar Sastry:
Switched and Symmetric Pursuit/Evasion Games Using Online Model Predictive Control With Application to Autonomous Aircraft. IEEE Trans. Control. Syst. Technol. 20(3): 604-620 (2012) - 2011
- [j7]Christina Catley, Kathy Smith, Carolyn McGregor, Andrew James, J. Mikael Eklund:
A Framework for Multidimensional Real-Time Data Analysis: A Case Study for the Detection of Apnoea of Prematurity. Int. J. Comput. Model. Algorithms Medicine 2(1): 16-37 (2011) - 2010
- [j6]Carolyn McGregor, J. Mikael Eklund:
Next generation remote critical care through service-oriented architectures: challenges and opportunities. Serv. Oriented Comput. Appl. 4(1): 33-43 (2010) - 2009
- [j5]J. Mikael Eklund, Carolyn McGregor:
Standards for physiological data transmission and archiving for the support of the service of critical care. SIGBED Rev. 6(2): 9 (2009) - [j4]Jonathan Sprinkle, J. Mikael Eklund, Humberto González, Esten Ingar Grøtli, Ben Upcroft, Alexei Makarenko, Will Uther, Michael Moser, Robert Fitch, Hugh F. Durrant-Whyte, Shankar Sastry:
Model-based design: a report from the trenches of the DARPA Urban Challenge. Softw. Syst. Model. 8(4): 551-566 (2009) - 2007
- [j3]Farid Mobasser, J. Mikael Eklund, Keyvan Hashtrudi-Zaad:
Estimation of Elbow-Induced Wrist Force With EMG Signals Using Fast Orthogonal Search. IEEE Trans. Biomed. Eng. 54(4): 683-693 (2007) - 2005
- [j2]Jonathan Sprinkle, Aaron D. Ames, J. Mikael Eklund, Ian M. Mitchell, Shankar Sastry:
Online safety calculations for glide-slope recapture. Innov. Syst. Softw. Eng. 1(2): 157-175 (2005) - 2000
- [j1]J. Mikael Eklund, Michael J. Korenberg:
Simulation of Aircraft Pilot Flight Controls Using Nonlinear System Identification. Simul. 75(2): 72-81 (2000)
Conference and Workshop Papers
- 2022
- [c38]J. Mikael Eklund:
Modeling and predicting COVID-19 infections: the effect of incomplete testing and recovery data in the early days of the pandemic. CCECE 2022: 263-267 - [c37]Timothy A. V. Teatro, J. Mikael Eklund, Ruth Milman:
Toward a Coalgebraic Model of Control Programs. CCECE 2022: 328-335 - 2020
- [c36]Mizpah Selvam S. Johnson, J. Mikael Eklund:
A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 2: Multi-input Methods. EMBC 2020: 863-866 - [c35]Mizpah Selvam S. Johnson, J. Mikael Eklund:
A Review of Photoplethysmography-based Physiological Measurement and Estimation, Part 1: Single Input Methods. EMBC 2020: 923-927 - [c34]Munachiso Ilokah, J. Mikael Eklund:
A Secure Privacy Preserving Cloud-based Framework for Sharing Electronic Health Data. EMBC 2020: 5592-5597 - 2018
- [c33]Cornelius Chidubem Agbo, Qusay H. Mahmoud, J. Mikael Eklund:
A Scalable Patient Monitoring System Using Apache Storm. CCECE 2018: 1-6 - [c32]Nazrul Khan, J. Mikael Eklund:
A Highly Integrated Computing Platform for Continuous, Non-Invasive BP Estimation. CCECE 2018: 1-5 - [c31]Timothy A. V. Teatro, J. Mikael Eklund, Ruth Milman:
Maybe and Either Monads in Plain C++ 17. CCECE 2018: 1-4 - [c30]Cornelius Chidubem Agbo, Qusay H. Mahmoud, J. Mikael Eklund:
An Architecture for Cloud-Assisted Clinical Support System for Patient Monitoring and Disease Detection In Mobile Environments. PervasiveHealth 2018: 245-250 - 2017
- [c29]Xinqi Louis Wang, J. Mikael Eklund:
Using Daubechies wavelet functions to generate masks for accurate QRS detection. CCECE 2017: 1-4 - 2016
- [c28]Stephen McIntyre, J. Mikael Eklund, Christopher Collins:
Using Visual Analytics of Heart Rate Variation to Aid in Diagnostics. VVH@AVI 2016: 20-27 - [c27]Timothy A. V. Teatro, J. Mikael Eklund:
An object oriented framework for a generic model predictive controller. CCECE 2016: 1-4 - [c26]Mehrin Gilani, J. Mikael Eklund, Masoud Makrehchi:
Automated detection of atrial fibrillation episode using novel heart rate variability features. EMBC 2016: 3461-3464 - 2015
- [c25]Mehrin Gilani, Mikael Eklund:
Automated classification of congestive heart failure severity using time domain, frequency domain and non-linear heart rate variability measures. CASCON 2015: 46-52 - 2014
- [c24]Anirudh Thommandram, J. Mikael Eklund, Carolyn McGregor, James Edward Pugh, Andrew G. James:
A Rule-Based Temporal Analysis Method for Online Health Analytics and Its Application for Real-Time Detection of Neonatal Spells. BigData Congress 2014: 470-477 - [c23]Xinqi Louis Wang, J. Mikael Eklund, Carolyn McGregor:
Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification. CBMS 2014: 8-13 - [c22]J. Mikael Eklund, Nicholas Fontana, James Edward Pugh, Carolyn McGregor, Paul Yielder, Andrew James, Matthew Keyzers, Cecil Hahn, Patrick McNamara:
Automated Sleep-Wake Detection in Neonates from Cerebral Function Monitor Signals. CBMS 2014: 22-27 - [c21]Muhammad Awais Abbas, Ruth Milman, J. Mikael Eklund:
Obstacle avoidance in real time with Nonlinear Model Predictive Control of autonomous vehicles. CCECE 2014: 1-6 - [c20]Robert Greer, Chris Olivier, James Edward Pugh, J. Mikael Eklund, Carolyn McGregor:
Remote, real-time monitoring and analysis of vital signs of neonatal graduate infants. EMBC 2014: 1382-1385 - [c19]Hamzeh Khazaei, Carolyn McGregor, J. Mikael Eklund, Khalil El-Khatib, Anirudh Thommandram:
Toward a Big Data Healthcare Analytics System: A Mathematical Modeling Perspective. SERVICES 2014: 208-215 - 2013
- [c18]Rishikesan Kamaleswaran, Anirudh Thommandram, Qi Zhou, J. Mikael Eklund, Yun Cao, W. P. Wang, Carolyn McGregor:
Cloud framework for real-time synchronous physiological streams to support rural and remote Critical Care. CBMS 2013: 473-476 - [c17]Stephen Petryna, J. Mikael Eklund, Greg Rohrauer:
Modelling a thermoelectric heat exchanger. CCECE 2013: 1-6 - [c16]Timothy A. V. Teatro, J. Mikael Eklund:
Nonlinear model predictive control for omnidirectional robot motion planning and tracking. CCECE 2013: 1-4 - [c15]Anirudh Thommandram, J. Mikael Eklund, Carolyn McGregor:
Detection of apnoea from respiratory time series data using clinically recognizable features and kNN classification. EMBC 2013: 5013-5016 - 2012
- [c14]Muhammad Awais Abbas, J. Mikael Eklund, Ruth Milman:
Real-time analysis for nonlinear model predictive control of autonomous vehicles. CCECE 2012: 1-4 - [c13]Ryan Naughton, J. Mikael Eklund:
Software simulation of a Marnoch heat engine. CCECE 2012: 1-4 - [c12]Louis X. Wang, J. Mikael Eklund, Vijyat Bhalla:
Simulation & road test results on balance and directional control of an autonomous bicycle. CCECE 2012: 1-5 - 2011
- [c11]Ryan Naughton, Muhammad Awais Abbas, J. Mikael Eklund:
Comparison of apartment building heating control systems. CCECE 2011: 1435-1439 - [c10]Muhammad Awais Abbas, J. Mikael Eklund:
Attitude Determination and Control Sub-System satellite controller. CCECE 2011: 1440-1445 - [c9]Muhammad Awais Abbas, Ryan Naughton, J. Mikael Eklund:
System identification and predictive control of a building heating system with multiple boilers. CCECE 2011: 1483-1486 - 2010
- [c8]Jinfu Zheng, Charles Elliott, Anand Dersingh, Ramiro Liscano, Mikael Eklund:
Design of a Wireless Sensor Network from an Energy Management Perspective. CNSR 2010: 80-86 - [c7]Christina Catley, Kathy Smith, Carolyn McGregor, Andrew James, J. Mikael Eklund:
A framework to model and translate clinical rules to support complex real-time analysis of physiological and clinical data. IHI 2010: 307-315 - 2009
- [c6]Carolyn McGregor, Kathleen P. Smith, J. Mikael Eklund:
A survey of recent physiological monitoring and transmission to support the service of critical care. CBMS 2009: 1-7 - 2008
- [c5]Carolyn McGregor, J. Mikael Eklund:
Real-Time Service-Oriented Architectures to Support Remote Critical Care: Trends and Challenges. COMPSAC 2008: 1199-1204 - 2005
- [c4]J. Mikael Eklund, Jonathan Sprinkle, Shankar Sastry:
Implementing and testing a nonlinear model predictive tracking controller for aerial pursuit/evasion games on a fixed wing aircraft. ACC 2005: 1509-1514 - [c3]Jonathan Sprinkle, J. Mikael Eklund, S. Shankar Sastry:
Deciding to land a UAV safely in real time. ACC 2005: 3506-3511 - [c2]J. Mikael Eklund, Ruzena Bajcsy, Jonathan Sprinkle, Gregory V. Simpson:
Computing MEG Signal Sources. CSB Workshops 2005: 332-338 - 2004
- [c1]Jonathan Sprinkle, J. Mikael Eklund, H. Jin Kim, Shankar Sastry:
Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller. CDC 2004: 2609-2614
Coauthor Index
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