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Sensors, Vol. 18, Pages 2099: Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals

Sensors, Vol. 18, Pages 2099: Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals

Sensors doi: 10.3390/s18072099

Authors: Antoine Pirog Yannick Bornat Romain Perrier Matthieu Raoux Manon Jaffredo Adam Quotb Jochen Lang Noëlle Lewis Sylvie Renaud

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.

Authors:   Pirog, Antoine ; Bornat, Yannick ; Perrier, Romain ; Raoux, Matthieu ; Jaffredo, Manon ; Quotb, Adam ; Lang, Jochen ; Lewis, Noëlle ; Renaud, Sylvie
Journal:   Sensors
Volume:   18
edition:   7
Year:   2018
Pages:   2099
DOI:   10.3390/s18072099
Publication date:   30-Jun-2018
Facts, background information, dossiers
  • electrophysiology
  • sensors
  • signal processing
  • paper
  • neuroscience
  • medicine
  • medical devices
  • diabetes
  • Biosignal
  • biology
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