Literature DB >> 23893209

A low-power configurable neural recording system for epileptic seizure detection.

Chengliang Qian1, Jess Shi, Jordi Parramon, Edgar Sánchez-Sinencio.   

Abstract

This paper describes a low-power configurable neural recording system capable of capturing and digitizing both neural action-potential (AP) and fast-ripple (FR) signals. It demonstrates the functionality of epileptic seizure detection through FR recording. This system features a fixed-gain, variable-bandwidth (BW) front-end circuit and a sigma-delta ADC with scalable bandwidth and power consumption. The ADC employs a 2nd-order single-bit sigma-delta modulator (SDM) followed by a low-power decimation filter. Direct impulse-response implementation of a sinc(3) filter and 8-cycle data pipelining in an IIR filter are proposed for the decimation filter design to improve the power and area efficiency. In measurements, the front end exhibits 39.6-dB DC gain, 0.8 Hz to 5.2 kHz of BW, 5.86- μVrms input-referred noise, and 2.4- μW power consumption in AP mode, while showing 38.5-dB DC gain, 250 to 486 Hz of BW, 2.48- μVrms noise, and 4.5- μW power consumption in FR mode. The noise efficiency factor (NEF) is 2.93 and 7.6 for the AP and FR modes, respectively. At 77-dB dynamic range (DR), the ADC has a peak SNR and SNDR of 75.9 dB and 67 dB, respectively, while consuming 2.75-mW power in AP mode. It achieves 78-dB DR, 76.2-dB peak SNR, 73.2-dB peak SNDR, and 588- μW power consumption in FR mode. Both analog and digital power supply voltages are 2.8 V. The chip is fabricated in a standard 0.6- μm CMOS process. The die size is 11.25 mm(2).

Entities:  

Mesh:

Year:  2013        PMID: 23893209     DOI: 10.1109/TBCAS.2012.2228857

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  4 in total

1.  A Wide Dynamic Range Neural Data Acquisition System With High-Precision Delta-Sigma ADC and On-Chip EC-PC Spike Processor.

Authors:  Jian Xu; Anh Tuan Nguyen; Tong Wu; Wenfeng Zhao; Diu Khue Luu; Zhi Yang
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2020-02-06       Impact factor: 3.833

2.  The Complex Adaptive Delta-Modulator in Sliding Mode Theory.

Authors:  Dhafer Almakhles
Journal:  Entropy (Basel)       Date:  2020-07-25       Impact factor: 2.524

3.  A High Performance Delta-Sigma Modulator for Neurosensing.

Authors:  Jian Xu; Menglian Zhao; Xiaobo Wu; Md Kafiul Islam; Zhi Yang
Journal:  Sensors (Basel)       Date:  2015-08-07       Impact factor: 3.576

4.  Methods for Lowering the Power Consumption of OS-Based Adaptive Deep Brain Stimulation Controllers.

Authors:  Roberto Rodriguez-Zurrunero; Alvaro Araujo; Madeleine M Lowery
Journal:  Sensors (Basel)       Date:  2021-03-28       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.