PhD Position in Bioengineering and Robotics - Dibris IIT
Electrophysiological Correlates of Neurorehabilitation
To evaluate the effects of a neurorehabilitation therapy , in addition to the classic clinical scales, several metrics based on electrophysiological measurements are advancing . A critical aspect of these measurements consists in the fact that these are almost always separate measures, which capture a partial image of the recovery, for example because they describe changes either at the level of the peripheral (EMG) or central nervous system (EEG, MEG). The ultimate goal of this PhD work consists of integrating all these indicators in order to provide a global assessment of recovery, which takes into account the different facets of functional recovery. The Candidate will be requested to develop a software platform for data analysis, capable of (1) compute novel parameters derived from the functional/effective connectivity analysis of EEG (primarily) and (2) combine parameters from different electrophysiological measurements (e.g., EMG & EEG). The PhD activities will include experiments with patients and strong collaboration and interaction with our partners. To this end, the Candidate will benefit from a lively network of collaborations with hospitals and research institutions, such as Fondazione Mondino in Pavia, San Camillo Hospital in Venice, Ospedale Villa Beretta in Lecco, Fondazione Don Gnocchi in Milan. This project requires broad expertise in electrophysiology (i.e. EEG acquisitions and analysis) and a demonstrated expertise in electronic engineering and software development. The ideal candidate should hold a degree in electronic/biomedical engineering or related disciplines, be a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment. Former lab experience and previous technical and scientific results will be highly considered. Requirements: Background in bioengineering; proficient programming skills: experience with Matlab/Simulink, C and/or Python for data analysis. Experience with human acquisitions with EEG/hdEEG. Experience in clinical environment will be taken in high account.
- Background in bioengineering;
- Proficient programming skills: experience with Matlab/Simulink, C and/or Python for data analysis.
- Experience with human acquisitions with EEG/hdEEG.
- Experience in clinical environment will be taken in high account.
 Semprini, M., Laffranchi, M., Sanguineti, V., Avanzino, L., De Icco, R., De Michieli, L., & Chiappalone, M. (2018). Technological approaches for neurorehabilitation: from robotic devices to brain stimulation and beyond. Frontiers in Neurology, 9, 212.
 Iandolo, R., Marini, F., Semprini, M., Laffranchi, M., Mugnosso, M., Cherif, A., De Michieli, L., Chiappalone, M., and Zenzeri, J. (2019). Perspectives and Challenges in Robotic Neurorehabilitation. Applied Sciences, 9(15), 3183.