Equalization for intracortical microstimulation artifact reduction

Chu, Philip; Muller, Rikky; Koralek, Aaron C.; Carmena, Jose M.; Rabaey, Jan M.; Gambini, Simone

doi:10.1109/embc.2013.6609483

Cited by 10 publications

(7 citation statements)

References 8 publications

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“…Some work uses a tri-phasic stimulation waveform to minimize artifact duration [22]. Chu et al [23] took an alternative approach by modeling the brain and interface as a communication channel and designing a waveform shape that inverts the transfer function, thereby reducing the artifact duration by 73%.…”

Section: Origin and Prevention Of Stimulation Artifactsmentioning

confidence: 99%

“…Tri-phasic stimulation [22] Compensates for artifact-inducing properties of stimulator, neural tissue and recording circuitry Zero-forcing equalization of waveform [23] Electrode and reference configuration Symmetric stim and sense electrode geometry [24 ] Keeps artifact common-mode, which can be tracked by the supply and also cancelled through differential amplification Artifact-tracking voltage supply [25] Front-end techniques Saturation prevention High Dynamic Range [19 ,36] Keeps recorded artifacts linear, improving the performance of back-end techniques Front-end subtraction [32,37,38 ,39] Electrode disconnection [1,[40][41][42][43] Rapid recovery Amplifier charge reset [19 ,44] Recovers from saturation quickly, reduces data loss, and lowers requirements on front-end dynamic range…”

Section: Stimulation Waveform Designmentioning

confidence: 99%

See 1 more Smart Citation

Toward true closed-loop neuromodulation: artifact-free recording during stimulation

Zhou

Johnson

Muller

2018

Current Opinion in Neurobiology

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Closed-loop and responsive neuromodulation systems improve open-loop neurostimulation by responding directly to measured neural activity and providing adaptive, on-demand therapy. To be effective, these systems must be able to simultaneously record and stimulate neural activity, a task made difficult by persistent stimulation artifacts that distort and obscure underlying biomarkers. To enable simultaneous stimulation and recording, several techniques have been proposed. These techniques involve artifact-preventing system configurations, resilient recording front-ends, and back-end signal processing for removing recorded artifacts. Co-designing and integrating these artifact cancellation techniques will be key to enabling neuromodulation systems to stimulate and record at the same time. Here, we review the state-of-the-art for these techniques and their role in achieving artifact-free neuromodulation.

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Section: Origin and Prevention Of Stimulation Artifactsmentioning

confidence: 99%

Section: Stimulation Waveform Designmentioning

confidence: 99%

Toward true closed-loop neuromodulation: artifact-free recording during stimulation

Zhou

Johnson

Muller

2018

Current Opinion in Neurobiology

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“…However, there can be a net current flow due to a mismatch in sourcing and sinking current. Some studies use triphasic or even higher phases stimulus to actively adjust the net charge to zero (Nam et al, 2009;Chu et al, 2013). They detect the mismatch in charge and additionally insert a small stimulus in the opposite direction.…”

Section: Principle Of the Electric Stimulationmentioning

confidence: 99%

“…The typical amplitude of a residual stimulation artifact is a couple of millivolts (Zhou et al, 2018), which is still larger than a neural signal. Therefore, depending on electrode design, a residual stimulation artifact can be long-lasting, and become more serious than a direct stimulation artifact (Hashimoto et al, 2002;Chu et al, 2013).…”

Section: Origin Of Stimulation Artifactmentioning

confidence: 99%

Energy-Efficient Integrated Circuit Solutions Toward Miniaturized Closed-Loop Neural Interface Systems

et al. 2021

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Miniaturized implantable devices play a crucial role in neural interfaces by monitoring and modulating neural activities on the peripheral and central nervous systems. Research efforts toward a compact wireless closed-loop system stimulating the nerve automatically according to the user's condition have been maintained. These systems have several advantages over open-loop stimulation systems such as reduction in both power consumption and side effects of continuous stimulation. Furthermore, a compact and wireless device consuming low energy alleviates foreign body reactions and risk of frequent surgical operations. Unfortunately, however, the miniaturized closed-loop neural interface system induces several hardware design challenges such as neural activity recording with severe stimulation artifact, real-time stimulation artifact removal, and energy-efficient wireless power delivery. Here, we will review recent approaches toward the miniaturized closed-loop neural interface system with integrated circuit (IC) techniques.

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“…This limits the spatial and temporal resolution of conventional electrical interfaces and can lead to reduced device performance and side effects from stimulation . Similarly, electrical recordings carried out alongside electrical stimulation can suffer from unwanted stimulation artifacts in the recorded signal which are difficult to remove and can overwhelm the signal of interest . Recording individual neuron activity across a large volume of tissue is also a challenge for electrical recording.…”

Section: Introductionmentioning

confidence: 99%