Literature DB >> 23853179

Design of ultra-low power biopotential amplifiers for biosignal acquisition applications.

Fan Zhang1, Jeremy Holleman, Brian P Otis.   

Abstract

Rapid development in miniature implantable electronics are expediting advances in neuroscience by allowing observation and control of neural activities. The first stage of an implantable biosignal recording system, a low-noise biopotential amplifier (BPA), is critical to the overall power and noise performance of the system. In order to integrate a large number of front-end amplifiers in multichannel implantable systems, the power consumption of each amplifier must be minimized. This paper introduces a closed-loop complementary-input amplifier, which has a bandwidth of 0.05 Hz to 10.5 kHz, an input-referred noise of 2.2 μ Vrms, and a power dissipation of 12 μW. As a point of comparison, a standard telescopic-cascode closed-loop amplifier with a 0.4 Hz to 8.5 kHz bandwidth, input-referred noise of 3.2 μ Vrms, and power dissipation of 12.5 μW is presented. Also for comparison, we show results from an open-loop complementary-input amplifier that exhibits an input-referred noise of 3.6 μ Vrms while consuming 800 nW of power. The two closed-loop amplifiers are fabricated in a 0.13 μ m CMOS process. The open-loop amplifier is fabricated in a 0.5 μm SOI-BiCMOS process. All three amplifiers operate with a 1 V supply.

Mesh:

Year:  2012        PMID: 23853179     DOI: 10.1109/TBCAS.2011.2177089

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


  10 in total

1.  Local field potential recordings in a non-human primate model of Parkinsons disease using the Activa PC + S neurostimulator.

Authors:  Allison T Connolly; Abirami Muralidharan; Claudia Hendrix; Luke Johnson; Rahul Gupta; Scott Stanslaski; Tim Denison; Kenneth B Baker; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neural Eng       Date:  2015-10-15       Impact factor: 5.379

2.  An Integrated Circuit for Simultaneous Extracellular Electrophysiology Recording and Optogenetic Neural Manipulation.

Authors:  Chang Hao Chen; Elizabeth A McCullagh; Sio Hang Pun; Peng Un Mak; Mang I Vai; Pui In Mak; Achim Klug; Tim C Lei
Journal:  IEEE Trans Biomed Eng       Date:  2017-03       Impact factor: 4.538

3.  A dual slope charge sampling analog front-end for a wireless neural recording system.

Authors:  Seung Bae Lee; Byunghun Lee; Benoit Gosselin; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

Review 4.  High-density neural recording system design.

Authors:  Han-Sol Lee; Kyeongho Eom; Minju Park; Seung-Beom Ku; Kwonhong Lee; Hyung-Min Lee
Journal:  Biomed Eng Lett       Date:  2022-05-30

5.  An Inductively-Powered Wireless Neural Recording System with a Charge Sampling Analog Front-End.

Authors:  Seung Bae Lee; Byunghun Lee; Mehdi Kiani; Babak Mahmoudi; Robert Gross; Maysam Ghovanloo
Journal:  IEEE Sens J       Date:  2015-09-28       Impact factor: 3.301

6.  A Low Noise Amplifier for Neural Spike Recording Interfaces.

Authors:  Jesus Ruiz-Amaya; Alberto Rodriguez-Perez; Manuel Delgado-Restituto
Journal:  Sensors (Basel)       Date:  2015-09-30       Impact factor: 3.576

7.  Implications for a Wireless, External Device System to Study Electrocorticography.

Authors:  David Rotermund; Jonas Pistor; Janpeter Hoeffmann; Tim Schellenberg; Dmitriy Boll; Elena Tolstosheeva; Dieter Gauck; Heiko Stemmann; Dagmar Peters-Drolshagen; Andreas Kurt Kreiter; Martin Schneider; Steffen Paul; Walter Lang; Klaus Richard Pawelzik
Journal:  Sensors (Basel)       Date:  2017-04-04       Impact factor: 3.576

8.  Design and Evaluation of Korean Electropalatography (K-EPG).

Authors:  Seong-Tak Woo; Ji-Wan Ha; Sungdae Na; Hyunjoo Choi; Sung-Bom Pyun
Journal:  Sensors (Basel)       Date:  2021-05-31       Impact factor: 3.576

9.  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

10.  Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems.

Authors:  Sun-Il Chang; Sung-Yun Park; Euisik Yoon
Journal:  Sensors (Basel)       Date:  2018-01-17       Impact factor: 3.576

  10 in total

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