Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

Ranjandish, Reza; Schmid, Alexandre

doi:10.1109/tcsi.2021.3055484

Cited by 6 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulation results of a 16-channels system with neural signals of a few 100 mV at 10-kHz BW show that the input referred noise (IRN) can be as high as 30 μV rms . To avoid this issue, a sample-and-hold at the input of the AFE is required as proposed in [23], which due to kT/C noise reasons, requires an increased per-channel area.…”

Section: B Code Division Multiple Accessmentioning

confidence: 99%

A Digitally Assisted Multiplexed Neural Recording System With Dynamic Electrode Offset Cancellation via an LMS Interference-Canceling Filter

Fathy

Huang

Mercier

2022

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

This article presents a low-power (LP) area-efficient implantable neural recording system that supports high-density neural implant (HDNI) applications. The system uses a timedivision multiple access method to record from 16-neural electrodes simultaneously. A least mean squares (LMSs) algorithm is used to cancel the slowly varying electrode offsets from all channels simultaneously by using a single-tap digital adaptive filter (AF). The presented technique is fabricated in 65-nm CMOS technology and achieves a per-channel area of 0.00248 mm 2 ; 68% of which is digital circuitry (and is thus scalable with technology). The overall system consumes 3.38 µW per channel while achieving 2.6 µV rms of input referred noise (IRN) in 10 kHz of bandwidth. The proposed system has a noise efficiency factor (NEF) of 1.83 and is fully integrated on-chip.

show abstract

Section: B Code Division Multiple Accessmentioning

confidence: 99%

A Digitally Assisted Multiplexed Neural Recording System With Dynamic Electrode Offset Cancellation via an LMS Interference-Canceling Filter

Fathy

Huang

Mercier

2022

IEEE J. Solid-State Circuits

View full text Add to dashboard Cite

show abstract

“…Recently, a distributed multi-channel FM-based AFE and FM-ADC architecture for ExG signal recording have been proposed in [9]. Another work [10] has also presented a technique that utilizes a single shared ADC among recording channels exploiting FDM with Walsh-Hadamard-based orthogonal sampling.…”

Section: B Frequency-division Multiplexing Based System Architecturementioning

confidence: 99%

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

Jinbo

Tarkhan

et al. 2022

IEEE Trans. Circuits Syst. II

View full text Add to dashboard Cite

Recent years have seen fast advances in neural recording circuits and systems as they offer a promising way to investigate real-time brain monitoring and the closed-loop modulation of psychological disorders and neurodegenerative diseases. In this context, this tutorial brief presents a concise overview of concepts and design methodologies of neural recording, highlighting neural signal characteristics, system-level specifications and architectures, circuit-level implementation, and noise reduction techniques. Future trends and challenges of neural recording are finally discussed.

show abstract

One-Wire Frequency-Division Multiplexing Multi-Channel Biopotential Active Electrode with Harmonic Cancellation

Kim

Johnston

2023

2023 IEEE International Symposium on Circuits and Systems (ISCAS)

View full text Add to dashboard Cite

Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

Cited by 6 publications

References 19 publications

A Digitally Assisted Multiplexed Neural Recording System With Dynamic Electrode Offset Cancellation via an LMS Interference-Canceling Filter

A Digitally Assisted Multiplexed Neural Recording System With Dynamic Electrode Offset Cancellation via an LMS Interference-Canceling Filter

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

One-Wire Frequency-Division Multiplexing Multi-Channel Biopotential Active Electrode with Harmonic Cancellation

Contact Info

Product

Resources

About