Ph.D. Candidate
CurrentInvestigated the feasibility of an implantable active artificial larynx. Specifically focused on the real-time protection of the airway during swallowing. Following and extensive review of the swallowing anatomy, we proposed two swallowing muscles, candidate for an implantable swallowing detection system. We designed and implemented a clinical research protocol in collaboration with an ENT surgeon, to measure and characterize those muscles on a large set of people, with two needles EMG, one surface EMG, and one accelerometer. We provided a detailed analysis of their timings and recruitment pattern, using onset detection algorithms and statistical models. We also showed their potential in a real-time detection scheme, with machine learning algorithms. These promising results were disseminated in scientific conferences and journals.
