Guest Lecture: Antonio Esposito _Universitù Federico II Napoli Electronic Engineer, currently working on applied metrology for neural interfaces and in applied superconductivity. Passionate of mathematics, physics, and electronics. I had previous experience in measurements for particle physics at CERN in Geneva. Next, I was a visiting scientist at Ulster University for applications in neuroengineering. I do believe in the crucial role of education, and in the need to build a better world. I am also involved in social activities. I like playing music and sports.

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-This course deals with brain-computer interfaces from a metrological perspective. The topics include data acquisition, signal processing and metrological characterization of consumer-grade devices for wearable and portable systems. This course deals with applied metrology for brain-computer interfaces addressed to daily life. The contents of the course will be particularly related to assistive devices relying on steady-state visually evoked potentials and motor imagery. Nonetheless, the course will provide notion about data acquisition, signal processing, and metrological characterization, as well as practical applications of this technology. The lessons will start from fundamentals, such as the discussion of general brain-computer interfaces applications, their taxonomy, case studies, and hints on law and ethics associated with them. Next, electronic insights will be given on the hardware, with specific regards to the usage of electroencephalography as a neuroimaging technique enabling wearability, portability, and low cost. In this framework, sampling and quantization errors will be discussed too. As a part of the metrological chain, processing of acquired data will be considered. This will involve an overview of the approaches, extraction of features from neural signals, machine learning application, statistical testing, and data representation. Matlab and Python will also be involved as tools for signal processing. Finally, the course will end with the design and development of reactive and active brain-computer interfaces, from an overview of the scientific and technological state to experimental setups with consumer-grade instrumentation. The course will be composed of frontal lectures, but practical aspects will be addressed too.

On site

Oral presentation

P.D.2-2 - May