Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief

Jinbo, Chen,; Tarkhan, Mahdi; Wu, Hui; Noshahr, Fereidoon Hashemi; Yang, Jie

doi:10.1109/tcsii.2022.3171689

Cited by 22 publications

(3 citation statements)

References 74 publications

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“…Advances in portable sensing systems and smart sensor interfaces enabled the monitoring of complex biomedical environments. One particular challenge in the brain, adding to the general challenges for any biological environment, is the presence of large amounts of electrical noise resulting from brain activity, whose sources are diverse but the result is always the same: the contamination of sensor output signals [ 39 ]. A state-of-the-art approach to solve this issue is the lock-in amplifier (LIA), which uses a phase-sensitive detection (PSD) to filter out the data signal at a specific reference frequency and to reject noise signals at other frequencies without affecting the measurement significantly.…”

Section: Methodsmentioning

confidence: 99%

Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

Cunha,

Schuelke,

Mesri

et al. 2024

Sensors

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Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and survival, demanding the need to better understand these mechanisms while providing precise and scalable approaches to monitor these cell-based therapies in both pre-clinical and clinical scenarios. This poses significant multidisciplinary challenges regarding planning, defining the methodology and requirements, prototyping and different stages of testing. Aiming toward an optogenetic neural stem cell implant controlled by a smart wireless electronic frontend, we show how an iterative development methodology coupled with a modular design philosophy can mitigate some of these challenges. In this study, we present a miniaturized, wireless-controlled, modular multisensor platform with fully interfaced electronics featuring three different modules: an impedance analyzer, a potentiostat and an optical stimulator. We show the application of the platform for electrical impedance spectroscopy-based cell monitoring, optical stimulation to induce dopamine release from optogenetically modified neurons and a potentiostat for cyclic voltammetry and amperometric detection of dopamine release. The multisensor platform is designed to be used as an opto-electric headstage for future in vivo animal experiments.

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Section: Methodsmentioning

confidence: 99%

Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

Cunha,

Schuelke,

Mesri

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Last but not least, the design requires low power consumption and small size in order to be amenable for wearable and portable applications that feature multichannel signal recording. Table I summarizes the general specifications of biopotential recording systems [29], [30], which also serve as the design target for implementing the above-mentioned circuit architectures.…”

Section: Table Imentioning

confidence: 99%

Noise Analysis and Design Methodology of Chopper Amplifiers With Analog DC-Servo Loop for Biopotential Acquisition Applications

Huang,

Rodriguez

2024

IEEE Trans. VLSI Syst.

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Biopotential acquisition chopper instrumentation amplifiers require a dc-servo loop (DSL) in order to filter electrode dc offsets. However, the noise performance degradation due to the addition of the DSL is often overlooked despite that it can be very detrimental at the frequencies of interest. This article presents an in-depth noise analysis of biopotential acquisition chopper instrumentation amplifiers with analog DSLs. Analytical expressions that predict the noise of different DSL implementations are found and a design flow to minimize their noise contribution is proposed. The design methodology is demonstrated with example circuits targeting biopotential recording systems. These circuits are implemented using a standard 180 nm CMOS technology, and their performance is verified through postlayout simulations. The findings of this work provide a comprehensive understanding of the noise characteristics of a DSL, its impact on noise performance, and design strategies for noise optimization.

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“…The increasing demand for low-power and short-range wireless communications has led to the development of several narrowband solutions, such as IEEE 802.15.4, Bluetooth Low Energy (BLE), ISM band, and Medical Device Radio Communications Service (MedRadio) [3]- [8]. Despite their low power performance and low tissue losses, these radios are unlikely to satisfy the constraints of upcoming multi-brain-machine interfaces (BMI) with thousands of recording channels, including small area, severe power budget, heat dissipation, and high data rates [9] [10]. IR-UWB solutions, which offer a wide transmission bandwidth and high energy efficiency, are good candidates for achieving higher data throughput.…”

Section: Introductionmentioning

confidence: 99%

Challenges and Perspectives on Impulse Radio-Ultra-Wideband Transceivers for Neural Recording Applications

Eskandari,

Sawan

2024

IEEE Trans. Biomed. Circuits Syst.

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Brain-machine interfaces (BMI) are widely adopted in neuroscience investigations and neural prosthetics, with sensing channel counts constantly increasing. These Investigations place increasing demands for high data rates and low-power implantable devices despite high tissue losses. The Impulse radio ultra-wideband (IR-UWB), a revived wireless technology for short-range radios, has been widely used in various applications. Since the requirements and solutions are application-oriented, in this review paper we focus on neural recording implants with high-data rates and ultra-low power requirements. We examine in detail the working principle, design methodology, performance, and implementations of different architectures of IR-UWB transceivers in a quantitative manner to draw a deep comparison and extract the bottlenecks and possible solutions concerning the dedicated application. Our analysis shows that current solutions rely on enhanced or combined modulation techniques to improve link margin. An in-depth study of priorart publications that achieved Gbps data rates concludes that edge-combination architecture and non-coherent detectors are remarkable for transmitter and receiver, respectively. Although the aim to minimize power and improve data rate -defined as energy efficiency (pJ/b) -extending communication distance despite high tissue losses and limited power budget, good narrow-band interference (NBI) tolerance coexisted in the same frequency band of UWB systems, and compatibility with energy harvesting designs are among the critical challenges remained unsolved. Furthermore, we expect that the combination of artificial intelligence (AI) and the inherent advantages of UWB radios will pave the way for future improvements in BMIs.

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Recent Trends and Future Prospects of Neural Recording Circuits and Systems: A Tutorial Brief

Cited by 22 publications

References 74 publications

Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

Noise Analysis and Design Methodology of Chopper Amplifiers With Analog DC-Servo Loop for Biopotential Acquisition Applications

Challenges and Perspectives on Impulse Radio-Ultra-Wideband Transceivers for Neural Recording Applications

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