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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About me
A. Mialland, B. Kinsiklounon, G. Tian, C. Noûs et A. Bonvilain - "Submental MechanoMyoGraphy (MMG) to Characterize the Swallowing Signature" - Innovation and Research in BioMedical engineering. doi:10.1016/j.irbm.2021.05.001
A. Mialland, I. Atallah, and A. Bonvilain - "Stylohyoid and posterior digastric measurement with intramuscular EMG, submental EMG and swallowing sound." - Bio-Inspired Systems and Signal Processing. Lisbonne. doi:10.5220/0011628100003414
A. Mialland, I. Atallah, and A. Bonvilain - "Toward a robust swallowing detection for an implantable active artificial larynx: a survey." - Medical & Biological Engineering & Computing doi:10.1007/s11517-023-02772-8
A. Mialland, I. Atallah, and A. Bonvilain - "Stylohyoid and posterior digastric recruitment pattern evaluation in swallowing and non-swallowing tasks." - Innovation and Research in BioMedical engineering. doi:10.1016/j.irbm.2024.100823
A. Mialland, I. Atallah, and A. Bonvilain - "Stylohyoid and posterior digastric timing evaluation." - Body Sensor Networks. Boston. doi:10.1109/BSN58485.2023.10331308
A. Mialland, I. Atallah, and A. Bonvilain - "Conception de la commande d'un système d'occlusion de la trachée pour un larynx artificiel implantable actif." - Thèse de doctorat. Université Grenoble Alpes. Traitement de signaux physiologiques.
A. Mialland, I. Atallah, and A. Bonvilain - "Stylohyoid and posterior digastric potential evaluation for a real-time swallowing detection, with intramuscular EMG." - IEEE Transactions on Medical Robotics and Bionics. doi:10.1109/TMRB.2023.3336960
A. Mialland, E. Bouchet, A. Diallo, and A. Bonvilain - "Implantable active artificial larynx: timing evaluation of a laboratory prototype" - IEEE International Conference on Advanced Robotics and Mechatronics doi:10.1109/ICARM62033.2024.10715996
A. Mialland, S. Fukunaga, R. Katsuki, Y. Dong, H. Yamaguchi, Y. Saito - "Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation" - Bioinformatics doi:sumitted