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Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals

Enhanced understanding and control of electrophysiology mechanisms are increasingly being hailed as key knowledge in the fields of modern biology and medicine. As more and more excitable cell mechanics are being investigated and exploited, the need for flexible electrophysiology setups becomes appar...

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Autores principales: Pirog, Antoine, Bornat, Yannick, Perrier, Romain, Raoux, Matthieu, Jaffredo, Manon, Quotb, Adam, Lang, Jochen, Lewis, Noëlle, Renaud, Sylvie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069272/
https://www.ncbi.nlm.nih.gov/pubmed/29966339
http://dx.doi.org/10.3390/s18072099
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author Pirog, Antoine
Bornat, Yannick
Perrier, Romain
Raoux, Matthieu
Jaffredo, Manon
Quotb, Adam
Lang, Jochen
Lewis, Noëlle
Renaud, Sylvie
author_facet Pirog, Antoine
Bornat, Yannick
Perrier, Romain
Raoux, Matthieu
Jaffredo, Manon
Quotb, Adam
Lang, Jochen
Lewis, Noëlle
Renaud, Sylvie
author_sort Pirog, Antoine
collection PubMed
description Enhanced understanding and control of electrophysiology mechanisms are increasingly being hailed as key knowledge in the fields of modern biology and medicine. As more and more excitable cell mechanics are being investigated and exploited, the need for flexible electrophysiology setups becomes apparent. With that aim, we designed Multimed, which is a versatile hardware platform for the real-time recording and processing of biosignals. Digital processing in Multimed is an arrangement of generic processing units from a custom library. These can freely be rearranged to match the needs of the application. Embedded onto a Field Programmable Gate Array (FPGA), these modules utilize full-hardware signal processing to lower processing latency. It achieves constant latency, and sub-millisecond processing and decision-making on 64 channels. The FPGA core processing unit makes Multimed suitable as either a reconfigurable electrophysiology system or a prototyping platform for VLSI implantable medical devices. It is specifically designed for open- and closed-loop experiments and provides consistent feedback rules, well within biological microseconds timeframes. This paper presents the specifications and architecture of the Multimed system, then details the biosignal processing algorithms and their digital implementation. Finally, three applications utilizing Multimed in neuroscience and diabetes research are described. They demonstrate the system’s configurability, its multi-channel, real-time processing, and its feedback control capabilities.
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spelling pubmed-60692722018-08-07 Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals Pirog, Antoine Bornat, Yannick Perrier, Romain Raoux, Matthieu Jaffredo, Manon Quotb, Adam Lang, Jochen Lewis, Noëlle Renaud, Sylvie Sensors (Basel) Article Enhanced understanding and control of electrophysiology mechanisms are increasingly being hailed as key knowledge in the fields of modern biology and medicine. As more and more excitable cell mechanics are being investigated and exploited, the need for flexible electrophysiology setups becomes apparent. With that aim, we designed Multimed, which is a versatile hardware platform for the real-time recording and processing of biosignals. Digital processing in Multimed is an arrangement of generic processing units from a custom library. These can freely be rearranged to match the needs of the application. Embedded onto a Field Programmable Gate Array (FPGA), these modules utilize full-hardware signal processing to lower processing latency. It achieves constant latency, and sub-millisecond processing and decision-making on 64 channels. The FPGA core processing unit makes Multimed suitable as either a reconfigurable electrophysiology system or a prototyping platform for VLSI implantable medical devices. It is specifically designed for open- and closed-loop experiments and provides consistent feedback rules, well within biological microseconds timeframes. This paper presents the specifications and architecture of the Multimed system, then details the biosignal processing algorithms and their digital implementation. Finally, three applications utilizing Multimed in neuroscience and diabetes research are described. They demonstrate the system’s configurability, its multi-channel, real-time processing, and its feedback control capabilities. MDPI 2018-06-30 /pmc/articles/PMC6069272/ /pubmed/29966339 http://dx.doi.org/10.3390/s18072099 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pirog, Antoine
Bornat, Yannick
Perrier, Romain
Raoux, Matthieu
Jaffredo, Manon
Quotb, Adam
Lang, Jochen
Lewis, Noëlle
Renaud, Sylvie
Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title_full Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title_fullStr Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title_full_unstemmed Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title_short Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals
title_sort multimed: an integrated, multi-application platform for the real-time recording and sub-millisecond processing of biosignals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069272/
https://www.ncbi.nlm.nih.gov/pubmed/29966339
http://dx.doi.org/10.3390/s18072099
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