A Low-Power Bioamplifier With a New Active DC Rejection Scheme

Gosselin, B; Ayoub, A.E.

doi:10.1109/iscas.2006.1693052

Cited by 15 publications

(4 citation statements)

References 9 publications

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“…In this scheme, an automatic biopotential detector is required to discriminate neural events from noise. But first, the neural signal must be sufficiently amplified by means of a dedicated amplifier such the one introduced in [9] before being assessed by the detector.…”

Section: Multichannel Recording and Data Managementmentioning

confidence: 99%

Multichannel intracortical neurorecording

Gosselin

2009

Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes

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This paper covers an overview of multichannel massively parallel biosensing device dedicated for neural recording from the cortex. Attention is paid to describe the design techniques and assembly methods of high reliability Microsystems. These devices are optimized, first from the circuit level, to meet ultra low-power budget and all needed flexibility for efficient neurorecording. Second, at the system level, integration of multichips and their interconnections on top of electrode arrays represent challenging tasks to optimize the building of implantable intracortical sensors. Such device includes electrode arrays, preamplification front-end, data conversion, signal processing for the detection of neural events (spikes). It includes also multiple wireless links, the first one is for affording the energy to power up the whole implant, while data are exchanged bidirectionaly with a base station through two other links for data down and up links. Experimental results are shown.

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Section: Multichannel Recording and Data Managementmentioning

confidence: 99%

Multichannel intracortical neurorecording

Gosselin

2009

Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes

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“…Massively parallel intracortical recording. Recently, such recording microsystem is being built by many research groups worldwide in order to conduct in vivo experiments and learn about the cortical interactions, and eventually use the recorded data for prosthetic control [2,16]. We are interested to learn about the ENGs available at the level of the primary visual cortex, where the optic nerves conveys the neural signals from the retina to the PVC with various processing along this pathway.…”

Section: Sensors and Actuators : Case Studies Of Biomedical Devicesmentioning

confidence: 99%

Implantable Electronics for the Recovery of Neuromuscular Functions

Gosselin

Coulombe

Ayoub

et al. 2008

Advances in Science and Technology

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This paper covers circuits and systems techniques for the construction of high reliability biosensing and stimulation medical devices. Such microsystems are dedicated for interconnections through either the central or the peripheral nervous systems. Low-power high-reliability wireless links are used to power up the implanted devices while data are exchanged bidirectionaly between these implants and external controllers. A global view of main devices is given, case studies related to applications such as bladder control, intracortical monitoring and microstimulation are discussed, altogether with modeling, characterization, as well as microsystems assembly and packaging. Also, dedicated electrode arrays and their interfaces to tissues interfaces are summarized.

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“…Its circuit schematic is shown on Figure 2. The first stage low-noise neural amplifier is based on the design described in [2]. path and reject the DC mismatch input voltage coming from the electrodes.…”

Section: Neural Signal Conditioning Stagementioning

confidence: 99%

“…Specifically, circuits must fit within silicon area as low as 0.160 ptm2 since 400-ptm center-to-center electrode spacing are commonly used for neural recording. In addition, the power dissipation should be restrained bellow 130 ptW per channel to not harm the tissues [2]. In contrast, experiments and permanent usage of implanted sensors command the need for more sophisticated microsystems capable of recording from much more channels.…”

Section: Introductionmentioning

confidence: 99%