A powerful approach to the characterization of cellular electrical activity is electrical recording from cells or living tissues. The human central and / or peripheral nervous system has been a subject of study and fascination of the neuroscience and biomedical engineering communities for many decades. In this paper, we propose a new approach to feed implantable neural recording system, which based on extracting electrical power from uman tissue warmth in order to supply a biomedical neural recording system. The major issue to overcome, in the design of a system that is aimed at being implant into the human body, is having a low power consumption, low noise circuit and small dimension to minimize tissue damage.

Extracting Electric Power From Human Body For Supplying Neural Recording System / G., BEN HMIDA; A., LAY EKUAKILLE; A., Kachouri; H., Ghariani; Trotta, Amerigo. - In: INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS. - ISSN 1178-5608. - 2:2(2009), pp. 229-245.

Extracting Electric Power From Human Body For Supplying Neural Recording System

TROTTA, Amerigo
2009-01-01

Abstract

A powerful approach to the characterization of cellular electrical activity is electrical recording from cells or living tissues. The human central and / or peripheral nervous system has been a subject of study and fascination of the neuroscience and biomedical engineering communities for many decades. In this paper, we propose a new approach to feed implantable neural recording system, which based on extracting electrical power from uman tissue warmth in order to supply a biomedical neural recording system. The major issue to overcome, in the design of a system that is aimed at being implant into the human body, is having a low power consumption, low noise circuit and small dimension to minimize tissue damage.
2009
Extracting Electric Power From Human Body For Supplying Neural Recording System / G., BEN HMIDA; A., LAY EKUAKILLE; A., Kachouri; H., Ghariani; Trotta, Amerigo. - In: INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS. - ISSN 1178-5608. - 2:2(2009), pp. 229-245.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/1015
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