A. Benouareth, A. Ennaji, and M. Sellami, HMMs with Explicit State Duration Applied to Handwritten Arabic Word Recognition, 18th International Conference on Pattern Recognition (ICPR'06), 2006.
DOI : 10.1109/ICPR.2006.631
URL : https://hal.archives-ouvertes.fr/inria-00108312

A. S. Ahouandjinou, E. C. Ezin, C. Motamed, and P. Gouton, An Approach to Correcting Image Distortion by Self Calibration Stereoscopic Scene from Multiple Views, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012.
DOI : 10.1109/SITIS.2012.63
URL : https://hal.archives-ouvertes.fr/hal-00822590

A. Silvent, M. Dojat, and C. Garbay, Multi-level temporal abstraction for medical scenario construction, Special Issue of thrd Internationnal Journl of Signal Processing and Adaptatove Control, 2004.
DOI : 10.1002/acs.855

C. Meredith and J. Edworthy, Are there too many alarms in the intensive care unit? An overview of the problems, Journal of Advanced Nursing, vol.49, issue.1, pp.15-20, 1995.
DOI : 10.1046/j.1365-2648.1995.21010015.x

C. Motamed, Motion detection and tracking using belief indicators for an automatic visual-surveillance system, Image and Vision Computing, vol.24, issue.11, pp.1192-1201, 2006.
DOI : 10.1016/j.imavis.2005.06.005

T. Duong, . Phung, . Dinh, H. Bui, and S. Venkatesh, Efficient duration and hierarchical modeling for human activity recognition, Artificial Intelligence, vol.173, issue.7-8, pp.830-856, 2009.
DOI : 10.1016/j.artint.2008.12.005

T. V. Duong, H. H. Bui, . Phung, Q. Dinh, and S. Venkatesh, Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.61

S. Luhr, . Venkatesh, . Sventha, G. West, and H. H. Bui, Duration abnormality detection in sequences of human activity, 2004.

L. Sebastian, S. Venkatesh, G. A. West, B. Hung, and H. , Explicit state duration HMM for abnormality detection in sequences of human activity, 2004.

L. R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol.77, issue.2, pp.257-286, 1989.
DOI : 10.1109/5.18626

M. Dojat and L. Brochard, Knowledge-based systems for automatic ventilatory management, Saunders: Philadelphia, pp.379-396, 2001.
DOI : 10.1016/S1078-5337(05)70048-4
URL : https://hal.archives-ouvertes.fr/inserm-00402401

M. J. Russel and R. Moore, Explict Modeling of State Occupancy in Hidden Markov Models for Speech Recognition, ICASSP, 1985.

M. Stacey and C. Mcgregor, Temporal abstraction in intelligent clinical data analysis: A survey, Artificial Intelligence in Medicine, vol.39, issue.1, pp.1-24, 2007.
DOI : 10.1016/j.artmed.2006.08.002

R. Fonseca1 and P. P. Rodrigues, the importance of system integration in intensive care units: A review, International Conference on Health Informatics, 2011.

S. E. Levinson, Continuously variable duration hidden Markov models for automatic speech recognition, Computer Speech & Language, vol.1, issue.1, pp.29-45, 1986.
DOI : 10.1016/S0885-2308(86)80009-2

S. Nicholas, A. R. Giannareas, V. Kern, A. V. Trevino, F. Margaret et al., Insup Lee: Smart alarms: multivariate medical alarm integration for post CABG surgery patients, pp.533-542, 2012.

V. Seshadri, The Inverse Gaussian Distribution: A Case Study in Exponential Family, 1993.
DOI : 10.1007/978-1-4612-1456-4

Y. Bengio and P. Frascni, Input-output HMMs for sequence processing, IEEE Transactions on Neural Networks, vol.7, issue.5, 1995.
DOI : 10.1109/72.536317

H. H. Bui, Q. Phung, and S. Venkatesh, Hierarchical Hidden Markov Models with General State Hierarchy, Proceedings of the Nineteenth National Conference on Artificial Intelligence, pp.324-329, 2004.

M. Duong, T. Vu, H. H. Bui, H. Phung, and Q. , Efficient duration and hierarchical modeling for human activity recognition, Artificial Intelligence, vol.173, issue.7-8, pp.830-856, 2009.
DOI : 10.1016/j.artint.2008.12.005

S. Fine, Y. Singer, and N. Tishby, The Hierarchical Hidden Markov Model: Analysis and Applications, Machine Learning, vol.32, issue.1, pp.41-62, 1998.
DOI : 10.1023/A:1007469218079

A. S. Ahouandjinou, Reconnaissance de scénario par les Modèles de Markov Cachés Crédibilistes. Application à l'interprétation automatique de séquences vidéo médicales, 2014.