ASIC Implementation of the Cross Frequency Coupling Algorithm for EEG Signal Processing

被引：0
|
作者：
Davis, Philip [1 ]
Creusere, Charles D. [1 ]
Tang, Wei [1 ]
机构：
[1] New Mexico State Univ, Klipsh Sch Elect & Comp Engn, Las Cruces, NM 88003 USA
来源：
2014 14TH INTERNATIONAL SYMPOSIUM ON INTEGRATED CIRCUITS (ISIC) | 2014年
关键词：
Cross Modulation; EEG; ASIC; OSCILLATIONS; THETA; POWER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper we present an ASIC implementation of the cross frequency coupling (CFC) algorithm that calculates the modulation index directly from digitized electroencephalograph (EEG) signals. To our knowledge this is the first implementation of the CFC algorithm in hardware. The advantage of directly computing the modulation index on chip is that the raw EEG data does not have to be stored in memory and the mobility of the device will allow for more modulation index data to be recorded. The chip is designed on IBM 0.18 micron process. The chip size is 3mm x 3mm with 191mW power consumption.
引用
收藏
页码：248 / 251
页数：4
相关论文
共 50 条
  • [1] Window Length Effect on Cross Frequency Coupling in an EEG Processing Circuit
    Davis, Philip
    Creusere, Charles D.
    Tang, Wei
    2015 IEEE 58TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2015,
  • [2] Multichannel EEG signal recording analysis based on Cross Frequency Coupling method
    Marton, L. F.
    Bako, L.
    Brassai, S. T.
    Losonczi, L.
    7TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2013), 2014, 12 : 133 - 140
  • [3] Design and implementation of a signal processing ASIC for digital hearing aids
    Deepu, S. P.
    Kini, M. Ramesh
    David, S. Sumam
    MICROPROCESSORS AND MICROSYSTEMS, 2022, 93
  • [4] An EEG Signal Processing Algorithm on Motor Imagery
    Huang, ZhenFeng
    Bai, HaoWen
    Li, DaQiang
    Lin, Hesheng
    Liang, MeiYun
    Wang, HongTao
    ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 521 - 524
  • [5] Implementation of Signal Processing Algorithms on Epileptic EEG Signals
    Gurumoorthy, Sasikumar
    Muppalaneni, Naresh Babu
    Sekhar, G. Chandra
    Kumari, G. Sandhya
    EMERGING RESEARCH IN DATA ENGINEERING SYSTEMS AND COMPUTER COMMUNICATIONS, CCODE 2019, 2020, 1054 : 367 - 376
  • [6] Implementation of compressive sensing in ECG and EEG signal processing
    ZHANG Hong-xin1
    TheJournalofChinaUniversitiesofPostsandTelecommunications, 2010, 17 (06) : 122 - 126
  • [7] Implementation of compressive sensing in ECG and EEG signal processing
    Zhang H.-X.
    Wang H.-Q.
    Li X.-M.
    Lu Y.-H.
    Zhang L.-K.
    Journal of China Universities of Posts and Telecommunications, 2010, 17 (06): : 122 - 126
  • [8] Generic vs custom; analogue vs digital: on the implementation of an online EEG signal processing algorithm
    Casson, Alexander J.
    Rodriguez-Villegas, Esther
    2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 5876 - 5880
  • [9] A motor imagery EEG signal optimized processing algorithm
    Geng, Xiaozhong
    Zhang, Xi
    Yue, Mengzhe
    Hu, Weixin
    Wang, Linen
    Zhang, Xintong
    Yu, Ping
    Long, Duo
    Yan, Hui
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 101 : 38 - 51
  • [10] Analysis of the Effect of Cross-Frequency Coupling in the Diagnosis of Depression Using Resting State EEG Signal
    Hashemi, Parisa Raouf Emamzadeh
    Shalchyan, Vahid
    Rostami, Reza
    2023 30TH NATIONAL AND 8TH INTERNATIONAL IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING, ICBME, 2023, : 294 - 300
12345