Andrew Hamilton-Wright

Associate professor, Mathematics & Computer Science

Andrew Hamilton-Wright

Contact Information

E-mail
ahamiltonwright@mta.ca
Phone
+1 (506) 364-2539
Office
226 Dunn
Office hours
please refer to my office door
Other websites

I am interested in biomedical applications of computing, specifically applications related to supporting clinical decisions using computational tools.

Much of my work involved using visualization and machine learning systems to help clinicians more deeply understand their data, and I have a good deal of experience dealing with electromyographic data analysis and decision support.

More information is available on the pages on www.qemg.org, my research web server.

Publications

Journal Articles

  • J. Yousefi, A. Hamilton-Wright.  Characterizing EMG Data using Machine-Learning Tools. Computers in Biology and Medicine. (in press). & DOI: 10.1016/j.compbiomed.2014.04.018
  • R. Varga, S.M. Matheson, A. Hamilton-Wright. Aggregate Features in Multi-Sample Classification Problems. IEEE Journal of Biomedical and Health Informatics. (in press). DOI: 10.1109/JBHI.2014.2314856
  • J.P. Saboisky, D.W. Stashuk, A. Hamilton-Wright, A.L. Carusona, L.M. Campana, J. Trinder, D.J. Eckert, A.S. Jordan, D.G. McSharry, D.P. White, S. Nandedkar, W.S. David and A. Malhotra. Neurogenic Changes in the Upper Airway of Patients with Obstructive Sleep Apnea. American Journal of Respiratory and Critical Care Medicine. 185(3), Feb 2012. pp. 322-329. 
DOI: 10.1164/rccm.201106-1058OC
  • P. Quaid and A. Hamilton-Wright. Diagnosing extraocular muscle dysfunction in clinic: comparing computerized Hess analysis, Park's 3-step test & a novel 3-step test. Optometry & Vision Development. 41(3), 2010. pp. 143-157.
  • J. Nashed, A. Hamilton-Wright, D.W. Stashuk, M. Faris and L. McLean. Assessing motor deficits in compressive neuropathy using quantitative electromyography. Journal of NeuroEngineering and Rehabilitation. 7(39), Aug 2010. 
DOI: 10.1186/1743-0003-7-39
  • A. Hamilton-Wright, L. McLean, D.W. Stashuk and K.M. Calder. Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography. Journal of NeuroEngineering and Rehabilitation. 7(8), Feb 2010. 
DOI: 10.1186/1743-0003-7-8
  • A. Hamilton-Wright, D.W. Stashuk and H.R. Tizhoosh. Fuzzy classification using pattern discovery. IEEE Transactions on Fuzzy Systems. 15(5), Oct 2007. pp. 772-783. 
DOI: 10.1109/TFUZZ.2006.889930
  • A. Hamilton-Wright and D.A. Stacey. `Cheap Grid:' leveraging system failure using stochastic computation . Future Generation Computer Systems, Elsevier Press. 23(4), April 2007. pp. 525-535. 
DOI: 10.1016/j.future.2006.09.005
  • A. Hamilton-Wright and D.W. Stashuk. Transparent decision support using statistical reasoning and fuzzy inference . IEEE Transactions on Knowledge and Data Engineering. 18(8), Aug 2006. pp. 1125-1137. 
DOI: 10.1109/TKDE.2006.132
  • A. Hamilton-Wright and D.W. Stashuk. Physiologically based simulation of clinical EMG signals . IEEE Transactions on Biomedical Engineering. 52(2), Feb 2005. pp. 171-183. 
DOI: 10.1109/TBME.2004.840501 Executable implementations of this simulator for both Windows and Macintosh as well as a Matlab wrapper are available at the EMGLAB software download site. Persons interested in the source code are invited to contact Dr. Hamilton-Wright.

 

 


Conference Papers

  • A. Hamilton-Wright., J. Navallas and D.W. Stashuk. Evaluation of motor unit placement algorithms for EMG simulation in the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). Buenos Aires, Argentina, 2010.
  • A. Hamilton-Wright., J. Navallas and D.W. Stashuk. Evaluation of three strategies for simulating motor unit muscle fibre densities in the XVIIIth Congress of the International Society of Electrophysiology & Kinesiology (ISEK 2010). Aalborg, Denmark, 2010.
  • H. Parsaei, F.J. Nezhad, D.W. Stashuk and A. Hamilton-Wright. Validation of motor unit potential trains using motor unit firing pattern information in the 31st Annual International IEEE Engineering in Medicine and Biology Society Conference (EMBC'09). Minneapolis, 2009. DOI: 10.1109/IEMBS.2009.5332849 

  • R. Varga, S. Matheson and A. Hamilton-Wright. Evidence aggregation for diagnosis: Bayesian and fuzzy strategies in the 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS'09). Cincinnati, 2009. 
DOI: 10.1109/NAFIPS.2009.5156443
  • T. Doan and A. Hamilton-Wright. Visualization of assertion confidence in fuzzy rules in the 28th North American Fuzzy Information Processing Society Annual Conference (NAFIPS'09). Cincinnati, 2009. 
DOI: 10.1109/NAFIPS.2009.5156425
  • J.P. van Dijk, F.F.M. van Wamel, B.U. Kleine, A. Hamilton-Wright and D.F. Stegeman. Modelling changes in surface EMG following collateral reinnervation in the Xth Quantitative EMG Conference Society Annual Conference. Venice, 2009.
  • A. Hamilton-Wright, L. McLean, D.W. Stashuk and Kristina Calder. Bayesian aggregation for non-specific arm pain classification in the XVIIth Congress of the International Society of Electrophysiology & Kinesiology. ISEK. Niagara Falls, June 2008.
  • H. Parsaei, A. Hamilton-Wright, F.J. Nezhad and D.W. Stashuk. Development of an SVM classifier for detecting merged motor unit potential trains in the XVIIth Congress of the International Society of Electrophysiology & Kinesiology. ISEK. Niagara Falls, June 2008.
  • J. Nashed, A. Hamilton-Wright, and L. McLean. Quantitative electromyographic changes associated with motor deficits in carpal tunnel syndrome in the XVIIth Congress of the International Society of Electrophysiology & Kinesiology. ISEK. Niagara Falls, June 2008.
  • A. Hamilton-Wright, L. McLean, D.W. Stashuk and Kristina Calder. Neuromuscular discrimination using aggregate information in muscular motor potentials in the Proceedings of the North American Fuzzy Information Processing Society. NAFIPS/IEEE. New York. May 2008. 
DOI: 10.1109/NAFIPS.2008.4531253
  • D.W. Stashuk, Lou Pino, A. Hamilton-Wright, T. Doherty and S. Boe. Interpretation of QEMG data in the Proceedings of the 2007 General Meeting of the American Association of Neuromuscular and Electrodiagnostic Medicine. AANEM. 2007.
  • A. Hamilton-Wright and L. McLean. Fisher linear discriminant construction for disease data in the Proceedings of the 30th Canadian Medical and Biological Engineering Conference. CMBES. Toronto, June 2007.
  • A. Hamilton-Wright and D.W. Stashuk. Clinical characterization of electromyographic data using computational tools in the Proceedings of the 2006 Symposium on Computational Intelligence in Bioinformatics and Computational Biology. CIBCB/IEEE. Toronto, Sept 2006.
  • A. Hamilton-Wright and D.W. Stashuk. Fuzzy rule based decision making for electromyographic characterization in the Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU, IEEE/IFSA. Paris. July 2006.
  • A. Hamilton-Wright, D.W. Stashuk and Lou Pino. On weight of evidence based reliability in `Pattern Discovery' in the Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU, IEEE/IFSA. Paris. July 2006.
  • A. Hamilton-Wright, D.W. Stashuk and Lou Pino. Internal measures of reliability in `Pattern Discovery' based fuzzy inference in the Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU, IEEE/IFSA. Paris. July 2006.
  • A. Hamilton-Wright and D.W. Stashuk. Comparing `Pattern Discovery' and back-propagation classifiers in the Proceedings of the International Joint Conference on Neural Networks. IJCNN. Aug 2005.
  • A. Hamilton-Wright and D.W. Stashuk. Constructing a fuzzy rule based classification system using Pattern Discovery in the Proceedings of the North American Fuzzy Information Processing Society. NAFIPS. June 2005
  • A. Hamilton-Wright and D.W. Stashuk. A proposed framework for incorporating `weight of evidence' within a fuzzy rule based classification system in the Proceedings of the North American Fuzzy Information Processing Society. NAFIPS. June 2005.
  • A. Hamilton-Wright and D.A. Stacey. Advantages of handling network unreliability within a stochastic problem domain in the Proceedings of the 13th Annual International Symposium on Software Reliability Engineering. ISSRE/IEEE. 2002.
  • A. Hamilton-Wright and D.A. Stacey. Using spare computing power for computation of genetic algorithm problems in the Proceedings of the 16th Annual International Symposium on High Performance Computing. HPCS/IEEE. 2002.
  • A. Hamilton-Wright and D.A. Stacey. Fault tolerant network computation of individuals in genetic algorithms in the Proceedings of the 2002 World Congress on Computational Intelligence. WCCI/IEEE. 2002. 
DOI: 10.1109/CEC.2002.1004502

 


Teaching

I have taught quite a selection of courses at Mount Allison.

Please see the Academic Calendar for descriptions of the following:

  • COMP 1631 - Introduction to Computer Science
  • COMP 1731 - Programming Techniques and Algorithms
  • MATH 2311 - Introduction to Statistics
  • COMP 2611 - Data Structures and Algorithms
  • COMP 2631 - Data Structures and Algorithms II
  • COMP 2711 - Object Oriented Design & Methodology (now discontinued)
  • COMP 2931 - Introduction to Systems Programming
  • COMP/MATH 3511 - Linear Programming
  • COMP 3611 - Algorithm Analysis
  • COMP 3651 - Artificial Intelligence
  • COMP 3721 - Object-Oriented Design and Methodology
  • COMP 3911 - Operating Systems
  • COMP 3971 - Computer Organization & Architecture
  • COMP 4721 - Software Design

Research interests

I am interested in applying computational techniques to problems in clinical decision making.

My research interests fall across the following major areas:

  • machine learning
  • association mining
  • visualization
  • decision support
  • high-risk decision making
  • inference support systems
  • uncertainty managment