J. Zhao, F. Gonzalez, and D. Mu, Apnea of prematurity: from cause to treatment, European Journal of Pediatrics, vol.136, issue.1, pp.1097-1105, 2011.
DOI : 10.1007/s00431-011-1409-6

L. Y. Fu and R. Y. Moon, Apparent Life-Threatening Events: An Update, Pediatrics in Review, vol.33, issue.8, pp.361-369, 2012.
DOI : 10.1542/pir.33-8-361

F. A. Fish and P. J. Kannankeril, Diagnosis and management of sudden death in children, Current Opinion in Pediatrics, vol.24, issue.5, pp.592-602, 2012.
DOI : 10.1097/MOP.0b013e328357a7c3

N. Boudaa, N. Samson, V. Carrière, P. S. Germim, J. C. Pasquier et al., Effects of caffeine and/or nasal CPAP treatment on laryngeal chemoreflexes in preterm lambs, Journal of Applied Physiology, vol.114, issue.5, pp.637-646, 2013.
DOI : 10.1152/japplphysiol.00599.2012

A. Beuchée, A. I. Hernández, C. Duvareille, D. Daniel, N. Samson et al., Influence of Hypoxia and Hypercapnia on Sleep State-Dependent Heart Rate Variability Behavior in Newborn Lambs, SLEEP, vol.35, issue.11, p.1541, 2012.
DOI : 10.5665/sleep.2206

N. Samson, S. Dumont, M. L. Specq, and J. P. Praud, Radio telemetry devices to monitor breathing in non-sedated animals, Respiratory Physiology & Neurobiology, vol.179, issue.2-3, pp.2-3111, 2011.
DOI : 10.1016/j.resp.2011.09.008

D. A. Grant, T. L. Davidson, and J. E. Fewell, Automated scoring of sleep in the neonatal lamb, Sleep, vol.18, pp.439-484, 1995.

D. Rurak, S. Fay, and N. Gruber, Measurement of rest and activity in newborn lambs using actigraphy: studies in term and preterm lambs, Reproduction, Fertility and Development, vol.20, issue.3, pp.418-430, 2008.
DOI : 10.1071/RD07149

W. L. Chang, M. R. Breier, A. Yang, and N. R. Swerdlow, Disparate effects of pramipexole on locomotor activity and sensorimotor gating in Sprague???Dawley rats, Pharmacology Biochemistry and Behavior, vol.99, issue.4, pp.634-642, 2011.
DOI : 10.1016/j.pbb.2011.06.002

M. Oosterlinck, F. Pille, T. Huppes, F. Gasthuys, and W. Back, Comparison of pressure plate and force plate gait kinetics in sound Warmbloods at walk and trot, The Veterinary Journal, vol.186, issue.3, pp.347-51, 2010.
DOI : 10.1016/j.tvjl.2009.08.024

T. F. Anders and A. M. Sostek, The Use of Time Lapse Video Recording of Sleep-Wake Behavior in Human Infants, Psychophysiology, vol.51, issue.2, pp.155-158, 1976.
DOI : 10.1111/j.1469-8986.1976.tb00092.x

P. Fuller, W. Wenner, and S. Blackburn, Comparison Between Time-Lapse Video Recordings of Behavior and Polygraphic State Determinations in Premature Infants, Psychophysiology, vol.5, issue.6, pp.594-602, 1978.
DOI : 10.1016/0013-4694(68)90193-4

A. Morielli, S. Ladan, F. Ducharme, and R. Brouillette, Can Sleep and Wakefulness Be Distinguished in Children by Cardiorespiratory and Videotape Recordings?, Chest, vol.109, issue.3, pp.680-687, 1996.
DOI : 10.1378/chest.109.3.680

E. Balzamo, P. Van-beers, and D. Lagarde, Scoring of sleep and wakefulness by behavioral analysis from video recordings in rhesus monkeys: comparison with conventional EEG analysis, Electroencephalography and Clinical Neurophysiology, vol.106, issue.3, pp.206-218, 1998.
DOI : 10.1016/S0013-4694(97)00152-1

B. Busha, J. C. Leiter, A. K. Curran, A. Li, E. E. Nattie et al., Spontaneous Arousals During Quiet Sleep in Piglets: A Visual and Wavelet-Based Analysis, Sleep, vol.24, issue.5, pp.499-513, 2001.
DOI : 10.1093/sleep/24.5.499

E. Konofal, M. Lecendreux, M. Bouvard, and M. Mouren-simeoni, High levels of nocturnal activity in children with attention-deficit hyperactivity disorder: A video analysis, Psychiatry and Clinical Neurosciences, vol.96, issue.2, pp.97-103, 2001.
DOI : 10.1002/1531-8257(199911)14:6<1000::AID-MDS1014>3.3.CO;2-G

J. Stradling, G. Thomas, and R. Belcher, Analysis of overnight sleep patterns by automatic detection of movement on video recordings, Journal of Ambulatory Monitoring, vol.1, issue.3, pp.217-239, 1988.

K. Nakajima, Y. Matsumoto, and T. Tamura, Development of real-time image sequence analysis for evaluating posture change and respiratory rate of a subject in bed, Physiological Measurement, vol.22, issue.3, pp.21-29, 2001.
DOI : 10.1088/0967-3334/22/3/401

S. Okada, Y. Ohno, . Goyahan, K. Kato-nishimura, I. Mohri et al., Examination of non-restrictive and non-invasive sleep evaluation technique for children using difference images, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3483-3490, 2008.
DOI : 10.1109/IEMBS.2008.4649956

N. B. Karayiannis, G. Tao, F. Jr, J. D. Wise, M. S. Hrachovy et al., Automated detection of videotaped neonatal seizures based on motion segmentation methods, Clinical Neurophysiology, vol.117, issue.7, pp.1585-94, 2006.
DOI : 10.1016/j.clinph.2005.12.030

K. Koroutchev, E. Korutcheva, K. Kanev, A. Rodriguez-albarino, J. L. Muniz-gutierrez et al., Detection of Unusual Objects and Temporal Patterns in EEG Video Recordings
DOI : 10.1007/978-3-642-10331-5_90

K. Cuppens, L. Lagae, B. Ceulemans, S. Van-huffel, and B. Vanrumste, Automatic video detection of body movement during sleep based on optical flow in pediatric patients with epilepsy, Medical & Biological Engineering & Computing, vol.36, issue.3, pp.923-954, 2010.
DOI : 10.1007/s11517-010-0648-4

M. Pediaditis, M. Tsiknakis, and N. Leitgeb, Vision-based motion detection, analysis and recognition of epileptic seizures???A systematic review, Computer Methods and Programs in Biomedicine, vol.108, issue.3, pp.1133-1148, 2012.
DOI : 10.1016/j.cmpb.2012.08.005

C. , D. Ka, and A. , Joint wavelet video denoising and motion activity detection in multimodal human activity analysis: application to video-assisted bioacoustic/psychophysiological monitoring, EURASIP Journal on Advances in Signal Processing, p.792028, 2008.

T. Tamura, Home geriatric physiological measurements, Physiological Measurement, vol.33, issue.10, p.47, 2012.
DOI : 10.1088/0967-3334/33/10/R47

B. U. Töreyin, Y. Dedeo?-glu, and A. E. Çetin, HMM based falling person detection using both audio and video. In: Computer Vision in Human-Computer Interaction, pp.211-220, 2005.

J. C. Schank, The development of locomotor kinematics in neonatal rats: An agent-based modeling analysis in group and individual contexts, Journal of Theoretical Biology, vol.254, issue.4, pp.826-868, 2008.
DOI : 10.1016/j.jtbi.2008.07.024

M. A. Cline, W. Nandar, C. Bowden, W. Calchary, M. L. Smith et al., The threshold of amylin-induced anorexia is lower in chicks selected for low compared to high juvenile body weight, Behavioural Brain Research, vol.208, issue.2, pp.650-654, 2010.
DOI : 10.1016/j.bbr.2009.12.032

A. G. Mcquibban, N. Joza, A. Megighian, M. Scorzeto, D. Zanini et al., A Drosophila mutant of LETM1, a candidate gene for seizures in Wolf-Hirschhorn syndrome, Human Molecular Genetics, vol.19, issue.6, pp.987-1000, 2010.
DOI : 10.1093/hmg/ddp563

J. Cachat, A. Stewart, E. Utterback, P. Hart, S. Gaikwad et al., Three-Dimensional Neurophenotyping of Adult Zebrafish Behavior, PLoS ONE, vol.4, issue.3, p.17597, 2011.
DOI : 10.1371/journal.pone.0017597.s006

C. Martins-silva, X. De-jaeger, M. S. Guzman, R. D. Lima, M. S. Santos et al., Novel Strains of Mice Deficient for the Vesicular Acetylcholine Transporter: Insights on Transcriptional Regulation and Control of Locomotor Behavior, PLoS ONE, vol.38, issue.3, p.17611, 2011.
DOI : 10.1371/journal.pone.0017611.s001

S. P. Fisher, S. I. Godinho, C. A. Pothecary, M. W. Hankins, R. G. Foster et al., Rapid Assessment of Sleep-Wake Behavior in Mice, Journal of Biological Rhythms, vol.4, issue.1, pp.48-58, 2012.
DOI : 10.1016/S0140-6736(86)90837-8

D. Valente, H. Wang, P. Andrews, P. P. Mitra, S. Saar et al., Characterizing animal behavior through audio and video signal processing. MultiMedia, IEEE, vol.14, issue.4, pp.32-41, 2007.
DOI : 10.1109/mmul.2007.71

URL : http://repository.cshl.edu/15268/1/Characterizing-animal-behavior-through-audio-and-video-signal-processing_2007_IEEE-Multimedia.hta

A. Walton, A. Branham, D. M. Gash, and R. Grondin, Automated video analysis of age-related motor deficits in monkeys using EthoVision, Neurobiology of Aging, vol.27, issue.10, pp.1477-83, 2006.
DOI : 10.1016/j.neurobiolaging.2005.08.003

J. Brendle and S. Hoy, Investigation of distances covered by fattening pigs measured with VideoMotionTracker??, Applied Animal Behaviour Science, vol.132, issue.1-2, pp.27-32, 2011.
DOI : 10.1016/j.applanim.2011.03.004

Y. J. Chen, Y. C. Li, K. N. Huang, S. L. Jen, and M. S. Young, Stand-Alone Video-Based Animal Tracking System for Noiseless Application, Instrumentation Science & Technology, vol.2, issue.3, pp.366-378, 2009.
DOI : 10.1016/S0091-3057(98)00029-X

D. Forsyth and J. Ponce, Computer Vision: A Modern Approach Pearson Education, Limited, 2011.

M. Fiala, ARTag, a Fiducial Marker System Using Digital Techniques, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.590-596, 2005.
DOI : 10.1109/CVPR.2005.74

J. R. Parker, Algorithms for Image Processing and Computer Vision, Wiley com, 2010.

B. Silverman, Density estimation for statistics and data analysis. Monographs on statistics and applied probability, 1986.

O. Avoine, D. Bossé, B. Beaudry, A. Beaulieu, R. Albadine et al., Total liquid ventilation efficacy in an ovine model of severe meconium aspiration syndrome, Critical Care Medicine, vol.39, issue.5, pp.1097-103, 2011.
DOI : 10.1097/CCM.0b013e31820ead1a

M. St-hilaire, C. Duvareille, O. Avoine, A. M. Carreau, N. Samson et al., Effects of postnatal smoke exposure on laryngeal chemoreflexes in newborn lambs, Journal of Applied Physiology, vol.109, issue.6, pp.1820-1826, 2010.
DOI : 10.1152/japplphysiol.01378.2009

N. Abdelouahab, A. Suvorov, J. C. Pasquier, M. F. Langlois, J. P. Praud et al., Thyroid Disruption by Low-Dose BDE-47 in Prenatally Exposed Lambs, Neonatology, vol.96, issue.2, pp.120-124, 2009.
DOI : 10.1159/000209316

A. Frigon, M. D. Johnson, and C. J. Heckman, Altered activation patterns by triceps surae stretch reflex pathways in acute and chronic spinal cord injury, Journal of Neurophysiology, vol.106, issue.4, pp.1669-78, 2011.
DOI : 10.1152/jn.00504.2011

H. F. Prechtl, The behavioural states of the newborn infant (a review), Brain Research, vol.76, issue.2, pp.185-212, 1974.
DOI : 10.1016/0006-8993(74)90454-5

H. Als, Program guide: Newborn individualized developmental care and assessment program (nidcap ): An education and training program for health care professionals, Medical Center Corporation, 2002.