Gaussian process clustering for the functional characterisation of vital-sign trajectories

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2013, Pages

  Pimentel, Marco A F ^a   Clifton, David A ^a   Tarassenko, Lionel ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Gaussian process regresison; trajectory analysis; Vital sign monitoring

Indexed keywords

COMPLEX TRAJECTORIES; GAUSSIAN PROCESSES; MULTIVARIATE GAUSSIAN PROCESS; OBSERVATIONAL DATA; PATIENT TRAJECTORIES; SIMILARITY MEASUREMENTS; TRAJECTORY ANALYSIS; VITAL SIGN MONITORING;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; PATIENT REHABILITATION; SIGNAL PROCESSING; STATISTICAL TESTS; TIME SERIES ANALYSIS;

TRAJECTORIES;

EID: 84893317956     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2013.6661947     Document Type: Conference Paper

References (21)

1. Xi Li, Weiming Hu, and Wei Hu, "A coarse-to-fine strategy for vehicle motion trajectory clustering, " in Proceedings of the 18th International Conference on Pattern Recognition, 2006, vol. 1, pp. 591-594.
2. J.M. Wang, D.J. Fleet, and A. Hertzmann, "Gaussian process dynamical models for human motion, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 283-298, 2008.
3. Weiming Hu, Xuejuan Xiao, Zhouyu Fu, D. Xie, Tieniu Tan, and S. Maybank, "A system for learning statistical motion patterns, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 9, pp. 1450-1464, 2006.
4. Shehzad Khalid and Andrew Naftel, "Classifying spatiotemporal object trajectories using unsupervised learning of basis function coefficients, " in Proceedings of the 3rd ACM International Workshop on Video Surveillance & Sensor Networks, 2005, pp. 45-52.
5. Zhang Zhang, Kaiqi Huang, and Tieniu Tan, "Comparison of similarity measures for trajectory clustering in outdoor surveillance scenes, " in Proceedings of the 18th International Conference on Pattern Recognition, 2006, pp. 1135-1138.
6. B. Morris and M. Trivedi, "Learning trajectory patterns by clustering: Experimental studies and comparative evaluation, " in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 312-319.
7. H. Gao, A. McDonnell, D.A. Harrison, T. Moore, S. Adam, K. Daly, L. Esmonde, D.R. Goldhill, G.J. Parry, A. Rashidian, et al., "Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward, " Intensive Care Medicine, vol. 33, no. 4, pp. 667-679, 2007.
8. L. Tarassenko, A. Hann, and D. Young, "Integrated monitoring and analysis for early warning of patient deterioration, " British Journal of Anaesthesia, vol. 97, no. 1, pp. 64-68, 2006.
9. Alistair Hann, "Multi-parameter monitoring for early warning of patient deterioration, " Ph.D. thesis, University of Oxford, 2008.
10. D. Clifton, D. Wong, L. Clifton, R. Pullinger, and L. Tarassenko, "A large-scale clinical validation of an integrated monitoring system in the emergency department, " IEEE Transactions on Information Technology in Biomedicine, vol. 17, no. 4, pp. 835-842, 2013.
11. Marco A.F. Pimentel, David A. Clifton, Lei Clifton, Peter J. Watkinson, and Lionel Tarassenko, "Modelling physiological deterioration in post-operative patient vital-sign data, " Medical Biological Engineering Computing, vol. 51, no. 8, pp. 869-877, 2013.
12. S. Hugueny, D. Clifton, and L. Tarassenko, "Probabilistic patient monitoring with multivariate, multimodal extreme value theory, " Communications in Computer Science, vol. 127, pp. 199-211, 2011.
13. D.A. Clifton, S. Hugueny, and L. Tarassenko, "Novelty detection with multivariate extreme value statistics, " Journal of signal processing systems, vol. 65, no. 3, pp. 371-389, 2011.
14. J.A. Quinn, C.K.I. Williams, and N. McIntosh, "Factorial switching linear dynamical systems applied to physiological condition monitoring, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 9, pp. 1537-1551, 2009.
15. D. Wong, D.A. Clifton, and L. Tarassenko, "Probabilistic detection of vital sign abnormality with gaussian process regression, " in Bioinformatics Bioengineering (BIBE), 2012 IEEE 12th International Conference on, 2012, pp. 187-192.
16. L. Clifton, D.A. Clifton, M.A.F. Pimentel, P.J. Watkinson, and L. Tarassenko, "Gaussian processes for personalized e-health monitoring with wearable sensors, " IEEE Transactions on Biomedical Engineering, vol. 60, no. 1, pp. 193-197, 2013.
17. D.A. Clifton, L. Clifton, S. Hugueny, D. Wong, and L. Tarassenko, "An extreme function theory for novelty detection, " IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 1, pp. 28-37, 2013.
18. L.H. Lehman, S. Nemati, R.P. Adams, and R.G. Mark, "Discovering shared dynamics in physiological signals: Application to patient monitoring in icu, " in Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012, pp. 5939-5942.
19. M.A.F. Pimentel, D.A. Clifton, L. Clifton, P.J. Watkinson, and L. Tarassenko, "Vital-sign data fusion models for post-operative patients, " in Proceedings of the International Joint Conference (IEEE EMBS) on Biomedical Engineering Systems and Technologies, 2012, pp. 410- 413.
20. O. Henniger and S. Muller, "Effects of time normalization on the accuracy of dynamic time warping, " in Proceedings of the 1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, 2007, pp. 1-6.
21. Hiroaki Sakoe and Seibi Chiba, "Dynamic programming algorithm optimization for spoken word recognition, " IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 26, no. 1, pp. 43-49, 1978.