E. M. Chung, J. P. Hague, and D. H. Evans, Revealing the mechanisms underlying embolic stroke using computational modelling, Physics in medicine and biology, vol.52, issue.23, p.7153, 2007.

V. Vukovi?-cvetkovi?, Microembolus detection by transcranial Doppler sonography: review of the literature, 2012.

A. D. Mackinnon, R. Aaslid, and H. S. Markus, Long-term ambulatory monitoring for cerebral emboli using transcranial Doppler ultrasound, Stroke, vol.35, issue.1, pp.73-78, 2004.

R. Aaslid, Developments and principles of transcranial Doppler, Transcranial Doppler, vol.1, pp.1-8, 1992.

H. White, A heteroskedasticity-consistence covariance matrix estimator and a direct test for heteroskedasticity, Econometrica, vol.48, pp.817-838, 1980.

T. Bollerslev, Generalized Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, vol.31, pp.307-327, 1986.

J. Girault, S. Ménigot, and L. Deibine, Automatic detection of micro-emboli by means of a generalized autoregressive conditional heteroskedasticity model, The Journal of the Acoustical Society of America, vol.128, issue.4, pp.2304-2304, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01459693

W. A. Gardner, A. Napolitano, and L. Paura, Cyclostationarity: Half a century of research, Signal Processing, vol.86, issue.4, pp.639-697, 2006.

S. Ménigot, L. Dreibine, N. Meziati, and J. Girault, Automatic detection of microemboli by means of a synchronous linear prediction technique, 2009 IEEE International Ultrasonics Symposium (IUS), pp.2371-2374, 2009.

H. Markus, M. Cullinane, and G. Reid, Improved automated detection of embolic signals using a novel frequency filtering approach, Stroke, vol.30, issue.8, pp.1610-1615, 1999.

N. Aydin and H. S. Markus, Detection of embolic signals using wavelet transform, pp.774-778, 1999.

N. Aydin, F. Marvasti, and H. S. Markus, Embolic Doppler ultrasound signal detection using discrete wavelet transform, IEEE Transactions on Information Technology in Biomedicine, vol.8, issue.2, pp.182-190, 2004.

J. Girault, Cerebral Microembolism Synchronous Detection with Wavelet Packets, chap. 4, Signal and Image Multiresolution Analysis, pp.245-287, 2013.

M. Geryes, S. Ménigot, W. Hassan, M. Almar, B. Guibert et al., A new energy detector of micro-emboli using a time-varying threshold, Third International Conference on Advances in Biomedical Engineering (ICABME), pp.89-92, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01279950

P. M. Morse and K. U. Ingard, Theoretical acoustics, 1968.

M. A. Moehring and J. R. Klepper, Pulse Doppler ultrasound detection, characterization and size estimation of emboli in flowing blood, IEEE Transactions on Biomedical Engineering, vol.41, issue.1, pp.35-44, 1994.

N. Aydin and H. S. Markus, Optimization of processing parameters for the analysis and detection of embolic signals, European Journal of ultrasound, vol.12, issue.1, pp.69-79, 2000.

J. Girault and Z. Zhao, Synchronous detector as a new paradigm for automatic microembolus detection, International Journal of Biomedical Engineering and Technology, vol.14, issue.1, pp.60-70, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01077276

M. Geryes, S. Ménigot, W. Hassan, A. Mcheick, J. Charara et al., Detection of Doppler Microembolic Signals Using High Order Statistics, Computational and Mathematical Methods in Medicine, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01407735

E. B. Ringelstein, D. W. Droste, V. L. Babikian, D. H. Evans, D. G. Grosset et al., Consensus on microembolus detection by TCD, vol.29, pp.725-729, 1998.

E. Chung, L. Fan, C. Degg, and D. H. Evans, Detection of Doppler embolic signals: psychoacoustic considerations, Ultrasound in medicine & biology, vol.31, issue.9, pp.1177-1184, 2005.

E. M. Chung, L. Fan, A. R. Naylor, and D. H. Evans, Impact of clinical environment on embolus detection: a comparison of automated and manual detection of Doppler embolic signals, Cerebrovascular diseases, vol.23, issue.2-3, pp.169-174, 2006.

M. Geryes, S. Ménigot, J. Charara, and J. Girault, An energy detector based on negative energy fluctuations coupled with sub-band decomposition as a robust micro-embolus detection system, 2017 IEEE International Ultrasonics Symposium (IUS), pp.1-4, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01630496