Literature DB >> 27448368

A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface.

Xilin Liu, Milin Zhang, Tao Xiong, Andrew G Richardson, Timothy H Lucas, Peter S Chin, Ralph Etienne-Cummings, Trac D Tran, Jan Van der Spiegel.   

Abstract

Reliable, multi-channel neural recording is critical to the neuroscience research and clinical treatment. However, most hardware development of fully integrated, multi-channel wireless neural recorders to-date, is still in the proof-of-concept stage. To be ready for practical use, the trade-offs between performance, power consumption, device size, robustness, and compatibility need to be carefully taken into account. This paper presents an optimized wireless compressed sensing neural signal recording system. The system takes advantages of both custom integrated circuits and universal compatible wireless solutions. The proposed system includes an implantable wireless system-on-chip (SoC) and an external wireless relay. The SoC integrates 16-channel low-noise neural amplifiers, programmable filters and gain stages, a SAR ADC, a real-time compressed sensing module, and a near field wireless power and data transmission link. The external relay integrates a 32 bit low-power microcontroller with Bluetooth 4.0 wireless module, a programming interface, and an inductive charging unit. The SoC achieves high signal recording quality with minimized power consumption, while reducing the risk of infection from through-skin connectors. The external relay maximizes the compatibility and programmability. The proposed compressed sensing module is highly configurable, featuring a SNDR of 9.78 dB with a compression ratio of 8×. The SoC has been fabricated in a 180 nm standard CMOS technology, occupying 2.1 mm × 0.6 mm silicon area. A pre-implantable system has been assembled to demonstrate the proposed paradigm. The developed system has been successfully used for long-term wireless neural recording in freely behaving rhesus monkey.

Entities:  

Year:  2016        PMID: 27448368     DOI: 10.1109/TBCAS.2016.2574362

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


  12 in total

1.  An Inductively-Powered Wireless Neural Recording and Stimulation System for Freely-Behaving Animals.

Authors:  Byunghun Lee; Yaoyao Jia; S Abdollah Mirbozorgi; Mark Connolly; Xingyuan Tong; Zhaoping Zeng; Babak Mahmoudi; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-01-07       Impact factor: 3.833

2.  Strategies for Autonomous Sensor-Brain Interfaces for Closed-Loop Sensory Reanimation of Paralyzed Limbs.

Authors:  Timothy H Lucas; Xilin Liu; Milin Zhang; Sri Sritharan; Ivette Planell-Mendez; Yohannes Ghenbot; Solymar Torres-Maldonado; Cameron Brandon; Jan Van der Spiegel; Andrew G Richardson
Journal:  Neurosurgery       Date:  2017-09-01       Impact factor: 4.654

3.  A Software-Defined Radio Receiver for Wireless Recording From Freely Behaving Animals.

Authors:  Yaoyao Jia; Byunghun Lee; Fanpeng Kong; Zhaoping Zeng; Mark Connolly; Babak Mahmoudi; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-10-24       Impact factor: 3.833

4.  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

5.  Multi-Channel Biopotential Acquisition System Using Frequency-Division Multiplexing With Cable Motion Artifact Suppression.

Authors:  Jinyong Kim; Hyunkyu Ouh; Matthew L Johnston
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2022-02-17       Impact factor: 3.833

Review 6.  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

7.  A Time-Domain Analog Spatial Compressed Sensing Encoder for Multi-Channel Neural Recording.

Authors:  Takayuki Okazawa; Ippei Akita
Journal:  Sensors (Basel)       Date:  2018-01-11       Impact factor: 3.576

8.  An Implantable Peripheral Nerve Recording and Stimulation System for Experiments on Freely Moving Animal Subjects.

Authors:  Byunghun Lee; Mukhesh K Koripalli; Yaoyao Jia; Joshua Acosta; M S E Sendi; Yoonsu Choi; Maysam Ghovanloo
Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

Review 9.  Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology.

Authors:  Csaba Forro; Davide Caron; Gian Nicola Angotzi; Vincenzo Gallo; Luca Berdondini; Francesca Santoro; Gemma Palazzolo; Gabriella Panuccio
Journal:  Micromachines (Basel)       Date:  2021-01-24       Impact factor: 2.891

10.  Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals.

Authors:  Antoine Pirog; Yannick Bornat; Romain Perrier; Matthieu Raoux; Manon Jaffredo; Adam Quotb; Jochen Lang; Noëlle Lewis; Sylvie Renaud
Journal:  Sensors (Basel)       Date:  2018-06-30       Impact factor: 3.576

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