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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doaj-6cdb33ffeee14e4ba1f2d88ae11066f22020-11-24T20:43:38ZengMDPI AGSensors1424-82202018-06-01187209910.3390/s18072099s18072099Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of BiosignalsAntoine Pirog0Yannick Bornat1Romain Perrier2Matthieu Raoux3Manon Jaffredo4Adam Quotb5Jochen Lang6Noëlle Lewis7Sylvie Renaud8Laboratoire de l’Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, F-33400 Talence, FranceLaboratoire de l’Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, F-33400 Talence, FranceSignalisation et physiopathologie cardiovasculaire, INSERM S-1180, University of Paris Sud, F-92296 Châtenay-Malabry, FranceInstitut de Chimie et Biologie des Membranes et des Nano-objets (CBMN), University of Bordeaux, CNRS UMR 5248, F-33600 Pessac, FranceInstitut de Chimie et Biologie des Membranes et des Nano-objets (CBMN), University of Bordeaux, CNRS UMR 5248, F-33600 Pessac, FranceLaboratoire d’Analyse et d’Architecture des Systèmes (LAAS), Federal University of Toulouse Midi-Pyrénées, CNRS UMR 8001, F-31031 Toulouse, FranceInstitut de Chimie et Biologie des Membranes et des Nano-objets (CBMN), University of Bordeaux, CNRS UMR 5248, F-33600 Pessac, FranceLaboratoire de l’Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, F-33400 Talence, FranceLaboratoire de l’Intégration du Matériau au Système (IMS), University of Bordeaux, Bordeaux INP, CNRS UMR 5218, F-33400 Talence, FranceEnhanced 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.http://www.mdpi.com/1424-8220/18/7/2099biosignal processingelectrophysiologyFPGAmulti-applicationmulti-channelneural recordingpancreatic islet recordingreal-time |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Antoine Pirog Yannick Bornat Romain Perrier Matthieu Raoux Manon Jaffredo Adam Quotb Jochen Lang Noëlle Lewis Sylvie Renaud |
spellingShingle |
Antoine Pirog Yannick Bornat Romain Perrier Matthieu Raoux Manon Jaffredo Adam Quotb Jochen Lang Noëlle Lewis Sylvie Renaud Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals Sensors biosignal processing electrophysiology FPGA multi-application multi-channel neural recording pancreatic islet recording real-time |
author_facet |
Antoine Pirog Yannick Bornat Romain Perrier Matthieu Raoux Manon Jaffredo Adam Quotb Jochen Lang Noëlle Lewis Sylvie Renaud |
author_sort |
Antoine Pirog |
title |
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_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_sort |
multimed: an integrated, multi-application platform for the real-time recording and sub-millisecond processing of biosignals |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-06-01 |
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. |
topic |
biosignal processing electrophysiology FPGA multi-application multi-channel neural recording pancreatic islet recording real-time |
url |
http://www.mdpi.com/1424-8220/18/7/2099 |
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