Patients with age-related mild cognitive impairments could be better assisted in hospitals and nursing homes where innovative systems provide personalized cognitive rehabilitation or physical and recreational activities. The Apulian project named RESCAP aimed to the quantitative evaluation of the EEG event-related responses to visual and audio stimulations induced in a virtual environment and then designed innovative domotic technologies to implement into real-life solutions. In particular, two protocols for cognitive and emotional evaluation were implemented, and quantitative results were obtained by means of pattern analysis and recognition processed with statistical and machine learning algorithms methodologies.
Bioelectrical Correlates of Emotional Changes Induced by Environmental Sound and Colour: From Virtual Reality to Real Life / De Tommaso, Marina; Gentile, Eleonora; Ricci, Katia; Montemurno, Anna; Delussi, Marianna; Vecchio, Eleonora; Logroscino, Giancarlo; Brunetti, Antonio; Bevilacqua, Vitoantonio (BIOSYSTEMS & BIOROBOTICS). - In: Converging Clinical and Engineering Research on Neurorehabilitation III: proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16-20, 2018, Pisa, Italy / [a cura di] Lorenzo Masia; Silvestro Micera; Metin Akay; José L. Pons. - STAMPA. - Cham, CH : Springer, 2019. - ISBN 978-3-030-01844-3. - pp. 982-985 [10.1007/978-3-030-01845-0_197]
Bioelectrical Correlates of Emotional Changes Induced by Environmental Sound and Colour: From Virtual Reality to Real Life
Brunetti, Antonio;Bevilacqua, Vitoantonio
2019-01-01
Abstract
Patients with age-related mild cognitive impairments could be better assisted in hospitals and nursing homes where innovative systems provide personalized cognitive rehabilitation or physical and recreational activities. The Apulian project named RESCAP aimed to the quantitative evaluation of the EEG event-related responses to visual and audio stimulations induced in a virtual environment and then designed innovative domotic technologies to implement into real-life solutions. In particular, two protocols for cognitive and emotional evaluation were implemented, and quantitative results were obtained by means of pattern analysis and recognition processed with statistical and machine learning algorithms methodologies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
