Abstract
The paper presents the scenario of the Biomedical technologies in the frame of the Advanced Human-Machine Interface (HMI), with specific application to the direct Brain-Computer communication. This approach relies on the development of new miniaturized system for the unobtrusive measurement of biological signal using wearable or embedded sensors integrated in Advanced HMI to be used in performing a task. In the BCI application the actual goal is enabling the communication for severely disabled people with a future perspective to increase the possibilities offered by this technology and in rehabilitation and health care. This should be possible thanks to its integration in a more complex system of ambient intelligence allowing the control of primary functions at home or through the differentiation of specific system platform supporting other services.
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Andreoni, G., Parini, S., Maggi, L., Piccini, L., Panfili, G., Torricelli, A. (2007). Human Machine Interface for Healthcare and Rehabilitation. In: Vaidya, S., Jain, L.C., Yoshida, H. (eds) Advanced Computational Intelligence Paradigms in Healthcare-2. Studies in Computational Intelligence, vol 65. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72375-2_7
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DOI: https://doi.org/10.1007/978-3-540-72375-2_7
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