Combining EEG and EMG signals in a wireless system for preventing fall in neurodegenerative diseases

De Venuto, D., Annese, V.F. , de Tommaso, M., Vecchio, E. and Sangiovanni Vincentelli, A.L. (2015) Combining EEG and EMG signals in a wireless system for preventing fall in neurodegenerative diseases. In: Andò, B., Siciliano, P., Marletta, V. and Monteriù, A. (eds.) Ambient Assisted Living : Italian Forum 2014. Series: Biosystems and biorobotics book series (11). Springer: Cham, Switzerland, pp. 317-327. ISBN 9783319183732 (doi: 10.1007/978-3-319-18374-9_30)

Abstract

We present an innovative wireless wearable, low power, noninvasive neuroprosthetic system that is geared towards detecting and preventing falls. The system allows continuous monitoring of EEG/EMG, detecting in particular pre-motor potentials to prevent falls of elder and motor-impaired patients by introducing a feedback action to stabilize gait.

• Item Type: Book Sections
• Additional Information: Online ISBN: 9783319183749.
• Status: Published
• Glasgow Author(s) Enlighten ID: Annese, Dr Valerio
• Authors: De Venuto, D., Annese, V.F., de Tommaso, M., Vecchio, E., and Sangiovanni Vincentelli, A.L.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: Ambient Assisted Living
• Publisher: Springer
• ISBN: 9783319183732
• Published Online: 05 July 2015

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