Publications

Books

Journals

Conferences

Tech. Reports

 

 

 

 

 

 

 

 

 

 

 

 

 

Publications

Books

R. Begg, Daniel T. H. Lai, M. Palaniswami, "Computational Intelligence in Biomedical Engineering", Taylor & Francis Books Inc, Boca Raton, Florida, USA (350 pages), ISBN: 9780849340802, 2007.

 

Book Chapters

1.       E. Charry and D. Lai, “Methods for improving foot displacement measurements calculated from inertial sensors”, Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications, edited by Anupam Shukla and Ritu Tiwari, IGI Global. 2010 (in Press)

 

2.       D. Lai, J. Pakannen, R. Begg and M. Palaniswami, " Computational Intelligence and Sensor Networks: A convergence of technologies for future biomedical systems", Encyclopedia of Health and Information Systems, Medical Information Science Reference, Hershey, New York, pp. 261-273, 2008. ISBN: 978-1-59904-889-5

 

3.       K. Lynch, D. Lai and R. Begg, “Intelligent Detection of Gait Patterns in Challenging Environments",  Encyclopedia of Health and Information Systems, Medical Information Science Reference, Hershey, New York, pp. 425-433, 2008. ISBN: 978-1-59904-889-5

 

Peer Reviewed Journals

  1. A. Shilton, D. Lai and M. Palaniswami, “A Division Algebraic Framework for Multidimensional Support Vector Regression”, in Press, IEEE Transactions on Systems, Man and Cybernetics: Part B, vol 39(6), 2009.
  2. D. Lai, R. Begg and M. Palaniswami, “Computational Intelligence in Gait Analysis: A perspective on current applications and future challenges”, IEEE Transactions on Information Technology and Biomedicine, vol 13(5), pp. 687-702, 2009. [PDF]
  3. D. Lai, P. Levinger, R. Begg, W. Gilleard and M. Palaniswami, " Automatic recognition of gait patterns exhibiting patellofemoral pain syndrome using a Support Vector Machine approach ",  IEEE Transactions on Information Technology and Biomedicine, vol 13(5), pp 810-817, 2009.  [PDF]
  4. P. Levinger, D. Lai, K. Webster, R. Begg and J. Feller, "The application of Support Vector Machines for detecting recovery from knee replacement surgery using spatio-temporal gait parameters" , Gait and Posture 21, 91-96, 2009. [PDF]
  5. D. Lai, R. Begg, S. Taylor and M. Palaniswami , " Detection of tripping gait patterns in the elderly using autoregressive features and Support Vector Machines ", Journal of Biomechanics, Vol 41(8) pp 1762-1772, 2008. [PDF]
  6. D. Lai, R. Begg and M. Palaniswami, "SVM Models for Diagnosing Balance Problems using Statistical Features of the MTC signal", Special Issue on Biomedical Signal Sensing and Intelligent Information Processing, International Journal of Computational Intelligence and Applications, 7:3, pp 317-331, 2008. [PDF]
  7. A. Khandoker, D. Lai, R. Begg and M. Palaniswami, "A Wavelet-Based feature extraction for automated screening of balance impairments in the elderly", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15(4), pp. 587-597, 2007. [PDF]
  8. Jayavardhana Gubbi, D. Lai, Michael Parker and Marimuthu Palaniswami, "Protein Secondary Structure Prediction using Support Vector Machines and a New Feature Representation", International Journal of Computational Intelligence and Applications, Vol 6(4), pp 551-567, 2006. [PDF]

Peer Reviewed Conference Papers

1.       D. Lai, A. Shilton, E. Charry, R. Begg and M. Palaniswami, "A Machine Learning Approach To K-Step Look-Ahead Prediction Of Gait Variables From Acceleration Data", 31st Annual International Conference Of The IEEE Engineering In Medicine And Biology Society, pp 385-388, 2009.

2.       E. Charry, D. Lai, R. Begg and M. Palaniswami,  "A Study On Band-Pass Filtering For Calculating Foot Displacements From Accelerometer And Gyroscope Sensors",  31st Annual International Conference Of The IEEE Engineering In Medicine And Biology Society, pp. 4824-4827, 2009.

3.       D. Lai, T. Wrigley and M. Palaniswami, "Ultrasound Monitoring Of Inter-Knee Distances During Gait", 31st Annual International Conference Of The IEEE Engineering In Medicine And Biology Society, pp. 725-728, 2009.

4.       E. Charry, D. Lai, R. Begg and M. Palaniswami "Filtering Techniques Using Frequency Analysis For Inertial Sensors In Gait Measurements", 11th World Congress On Medical Physics And Biomedical Engineering, 2009. (in Press)

5.       D. Lai, E. Charry, R. Begg, M. Palaniswami,  “ Frequency analysis of inertial sensor data for measuring toe clearance “,  4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp 303-308, 2008.

6.       D. Lai, E. Charry, R. Begg, M. Palaniswami, “Measuring toe clearance using a wireless inertial sensing device”, 4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp 375-380, 2008.

7.       P. Levinger, D. Lai, R. Begg, H. Menz, J. Feller, K. Webster, “Fourier analysis of tibia acceleration in subjects with knee osteoarthritis: preliminary results”, 4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp 315-320, 2008.

8.       D. Lai, E. Charry, R. Begg, M. Palaniswami, " A Prototype Wireless Inertial-Sensing Device for Measuring Toe Clearance", 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4899-4902, 2008.

9.       W. Gilleard, D. Lai, P. Levinger, R. Begg, "Detecting Trunk Motion Changes Due to Pregnancy Using Pattern Recognition Techniques", 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2405-2408, 2008.

10.   G. Pendharkar, D. Lai, R. Begg, "Detecting Idiopathic Toe-Walking Gait Patterns Using Heel Accelerometry Data and Support Vector Machines", 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4920-4923,  2008.

11.   J. Pakkanen and D. Lai, "A study of transmission overheads for sensor network localization schemes",  Proceedings of the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 91-94, Dec 3-6, 2007.

12.   A. Bagirov, D. Lai and M. Palaniswami, "A nonsmooth optimization approach to sensor network localization", Proceedings of the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 727-732,  Dec 3-6, 2007.

13.   P. Levinger, D. Lai, R. Begg , K. Webster, J. Feller and W. Gilleard, "The application of multiclass SVM to the detection of knee pathologies using kinetic data: A preliminary study", Proceedings of the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 589-594, Dec 3-6, 2007.

14.   P. Levinger, D. Lai, K. Webster, R. Begg and J. Feller, "Support Vector Machines for detecting recovery from knee replacement surgery using quantitative gait measures", 29th International Conference of the IEEE Engineering in Medicine and Biology Society, vol 1, pp. 4876-4878, August, 2007.

15.   D. Lai, P. Levinger, R. Begg, W. Gilleard and M. Palaniswami, "Identification of patellofemoral pain syndrome using a Support Vector Machine approach", 29th International Conference of the IEEE Engineering in Medicine and Biology Society, vol 1., pp. 3144-3147, August, 2 2007.

16.   D. Lai, A. Khandoker, R. Begg and M. Palaniswami, "A hybrid Support Vector Machine and autoregressive model for detecting gait disorders in the elderly", IEEE International Joint Conference on Neural Networks IJCNN 2007, vol 1, pp. 321 – 326, August 2007.

17.   A. Shilton and D. Lai, " Iterative Fuzzy Support Vector Machine Classification", IEEE International Conference on Fuzzy Systems, vol 1, pp. 1391-1396, July, 2007.

18.   A. Shilton and D. Lai, " Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation", IEEE International Joint Conference on Neural Networks IJCNN 2007, vol 1., pp 920 – 925, August, 2007.

19.   A. Khandoker, D. Lai, R. Begg and M. Palaniswami, " A Wavelet-Based Approach for Screening Falls Risk in the Elderly using Support Vector Machines", IEEE proceedings of 4th International Conference on Intelligent Systems and Signal Processing (ICISIP), vol 1. pp. 78-82, 2006.

20.   D. Lai, N. Mani and M.Palaniswami, ``An inexact penalty method for the semiparametric Support Vector Machine classifier,'' IEEE World Congress on Computational Intelligence (WCCI)}, vol 1. pp 333-338, 2006.

21.   G. Jayavardhana, M.Palaniswami, D. Lai and M. Parker, ``A Study on the Effect of Using Physico-Chemical Features in Protein Secondary Structure Prediction,'' Applied Artificial Intelligence, pp 609-617, World Scientific, 2006.

22.   R.Begg, D.Lai, S.Taylor and M.Palaniswami, ``SVM models in the diagnosis of balance impairments,'' in 3rd International Conference on Intelligent Sensing and Information Processing, Banglore, India, pp. 248-253, 2005.

23.   D.Lai, A.Shilton, N. Mani and M.Palaniswami, ``A convergence rate estimate for the SVM decomposition method,'' in Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 931-936, 2005.

24.   D.Lai, A.Shilton, N.Mani and M.Palaniswami, ``Stability analysis of the decomposition method for solving Support Vector Machines,'' in The 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP), pp. 272 - 277, 2005.

25.   D.Lai, N.Mani and M.Palaniswami, ``Effect of constraints on subproblem selection for solving Support Vector Machines using space decomposition,'' in The 6th International Conference on Optimization: Techniques and Applications (ICOTA6) Electronic Proceedings only, Ballarat , Australia , 2004.

26.   D.Lai, N.Mani and M.Palaniswami, ``A dynamic system framework for the decomposition method solving Support Vector Machines,'' in The International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 283-288, 2004.

27.   D.Lai, M.Palaniswami and N.Mani, `A new momentum minimization decomposition method for Support Vector Machines,'' in Proceedings of the International Joint Conference on Neural Networks, vol.3, pp. 2001-2006, 2004.

28.   D.Lai, M.Palaniswami and N.Mani, ``An extrapolated sequential minimal optimization algorithm for Support Vector Machines,'' in International Conference on Intelligent Sensing and Information Processing, Chennai, India, pp. 415-420, 2004.

29.   D.Lai, M.Palaniswami and N.Mani, ``Fast linear stationary methods for automatically biased Support Vector Machines,'' in Proceedings of the International Joint Conference on Neural Networks, vol. 3, pp. 2060-2065, 2003.

Workshop Papers

1.       J. Pakkanen, D. Lai and M. Palaniswami, " A study on multidimensional scaling (MDS) algorithms for 3D sensor network localization ", ISSNIP/ISPRS Joint International Workshop on Distributed Geoinformatics and Sensing, Ubiquity and Mobility, (13 pages), 2007.

Technical Reports

1.       D. Lai, M.Palaniswami and N. Mani, ``A basic heuristic decomposition framework for training Support Vector Machines'', MECSE-26-2005, 2005. (pdf)

2.       A. Shilton, D. Lai and M.Palaniswami, ``A monomial $nu$-sv method for regression,'' MECSE-24-2005, 2005.

3.       G. Jayavardhana, D. Lai, M.Parker and M. Palaniswami, ``Improved Encoding Method for Protein Secondary Structure Prediction using fast Trainable Support Vector Machines,'' Tech. Report, Melbourne University , TRN: SS/422/05, 2005.

4.       D. Lai, N. Mani and M. Palaniswami , "A new method to select working sets for decomposition methods solving Support Vector Machines," MECSE-30-2003 ,2003. (pdf)

5.       D. Lai, N. Mani and M. Palaniswami "Increasing the step of the newtonian decomposition method for Support Vector Machines," MECSE-29-2003 ,2003. (pdf)

6.       D. Lai and N. Mani, "Matrix formulation for the support vector classifier," MECSE-7-2003 ,2003. (pdf)

7.       D. Lai, N. Mani and M. Palaniswami, "Fast linear optimization with automatically biased Support Vector Machines," MECSE-4-2003 , 2003. (pdf)

 

 

 

 

 

 

 

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