The ARTE project has the objective of developing and testing an integrated rehabilitative system composed of a robotic end-effector, a wristband and a wireless EEG system. The main purpose of this integrated system is to monitor patients during the execution of a rehabilitation session to evaluate their performance and the effectiveness of their rehabilitation path. The system integrates the contribution of the Amadeo robotic end-effector (Tyromotion), the 8-channel EEG system Helmate (ab medica s.p.a) and the E4 wristband (Empatica). Starting from the EEG signal acquired during the rehabilitation session, indexes about activation of the motor cortex (ERD), level of engagement and brain asymmetry (BSI-Brain Symmetry Index) are computed. Moreover, the wristband extracts the patient’s heart rate (HR), inter-beat interval (IBI) and galvanic skin response (GSR) during the execution of the rehabilitation task: further information used to assess the subject’s condition and performance. The integrated device has been tested on a small group of healthy users. The obtained results were positive and demonstrated the feasibility of clinical trials.

ARTE Project: EEG Analysis During Robotic Rehabilitation

Calcagno, Alessandra;Coelli, Stefania;Tacchino, Giulia;Bianchi, Anna Maria
2020-01-01

Abstract

The ARTE project has the objective of developing and testing an integrated rehabilitative system composed of a robotic end-effector, a wristband and a wireless EEG system. The main purpose of this integrated system is to monitor patients during the execution of a rehabilitation session to evaluate their performance and the effectiveness of their rehabilitation path. The system integrates the contribution of the Amadeo robotic end-effector (Tyromotion), the 8-channel EEG system Helmate (ab medica s.p.a) and the E4 wristband (Empatica). Starting from the EEG signal acquired during the rehabilitation session, indexes about activation of the motor cortex (ERD), level of engagement and brain asymmetry (BSI-Brain Symmetry Index) are computed. Moreover, the wristband extracts the patient’s heart rate (HR), inter-beat interval (IBI) and galvanic skin response (GSR) during the execution of the rehabilitation task: further information used to assess the subject’s condition and performance. The integrated device has been tested on a small group of healthy users. The obtained results were positive and demonstrated the feasibility of clinical trials.
2020
XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019
978-3-030-31634-1
978-3-030-31635-8
Assistive devices Neurorehabilitation Electroencephalography Rehabilitation robotics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1121426
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