[1]刘亚,伍倚明,李承炜,等.基于ADS1299的穿戴式脑电检测装置设计[J].中国医学物理学杂志,2019,36(11):1317-1324.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.014]
　LIU Ya,WU Yiming,LI Chengwei,et al.Design of a wearable EEG detection device based on ADS1299[J].Chinese Journal of Medical Physics,2019,36(11):1317-1324.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.014]
点击复制

基于ADS1299的穿戴式脑电检测装置设计()
分享到：

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第11期
页码:
1317-1324
栏目:
医学信号处理与医学仪器
出版日期:
2019-11-25

文章信息/Info

Title:
Design of a wearable EEG detection device based on ADS1299
文章编号:
1005-202X（2019）11-1317-08
作者:
刘亚1; 伍倚明2; 李承炜1; 陈军3; 4; 吴凯1; 4; 5
1.华南理工大学材料科学与工程学院生物医学工程系， 广东 广州 510006； 2.广东省医疗器械质量监督检验所， 广东 广州 510663； 3.广东省医疗器械研究所， 广东 广州 510500； 4.广东省老年痴呆诊断与康复工程技术研究中心， 广东 广州 510500； 5.广东省精神疾病转化医学工程技术研究中心， 广东 广州 510370
Author(s):
LIU Ya1;  WU Yiming2;  LI Chengwei1;  CHEN Jun3;  4;  WU Kai1;  4;  5
1. Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou 510006, China; 2. Guangdong Medical Devices Quality Surveillance and Test Institute, Guangzhou 510663, China; 3. Guangdong Institute of Medical Instruments, Guangzhou 510500, China; 4. Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou 510500, China; 5. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China
关键词:
脑电图; 穿戴式; ADS1299; 蓝牙4.0; 低功耗
Keywords:
electroencephalogram;  wearable;  ADS1299;  Bluetooth 4.0;  low-power consumption
分类号:
R318.6
DOI:
DOI:10.3969/j.issn.1005-202X.2019.11.014
文献标志码:
A
摘要:
介绍了一种基于ADS1299的便携式脑电检测装置设计方案。该装置基于集成模拟前端芯片ADS1299对脑电信号进行采集，采用低功耗蓝牙4.0模块进行无线数据传输，并结合低功耗铁电存储MCU与电源管理模块有效地降低系统功耗，最后利用Matlab GUI对脑电信号进行波形显示和分析。通过内部参数测试，该装置具有体积小、噪声低、功耗低等特性，可实现长时间连续高精度采集脑电信号。
Abstract:
A designing scheme of a portable electroencephalogram (EEG) detection device based on ADS1299 is introduced in the study. The proposed device is designed with the integrated analog front-end chips of ADS1299 to collect EEG signals. A low-power consumption module of Bluetooth 4.0 is used to achieve wireless data transmission. Moreover, a low-power consumption ferromagnetic memory MCU is combined with a power management module to reduce power consumption effectively. Finally, the waveform display and analysis of EEG signals are carried out by Matlab GUI. The test of intrinsic parameter proved that the proposed device which has the characteristics of small size, low noise and low-power consumption can achieve long-time and high-precision acquisition of EEG signals.

相似文献/References:

[1]郑 娱,鲍 楠,徐礼胜,等.跌倒检测系统的研究进展[J].中国医学物理学杂志,2014,31(04):5071.[doi:10.3969/j.issn.1005-202X.2014.04.021]
[2]周静,吴效明.基于样本熵的睡眠呼吸暂停综合征脑电研究[J].中国医学物理学杂志,2016,33(7):722.[doi:10.3969/j.issn.1005-202X.2016.07.017]
　[J].Chinese Journal of Medical Physics,2016,33(11):722.[doi:10.3969/j.issn.1005-202X.2016.07.017]
[3]苏克阳,曾景阳,谢文钦,等. 近似熵在脑电监测麻醉深度中的应用[J].中国医学物理学杂志,2019,36(1):117.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.023]
　SU Keyang,ZENG Jingyang,XIE Wenqin,et al. Application of EEG approximate entropy in monitoring the depth of anesthesia[J].Chinese Journal of Medical Physics,2019,36(11):117.[doi:DOI:10.3969/j.issn.1005-202X.2019.01.023]
[4]赵彦富,随力,李月如.基于脑电图的脑疲劳检测研究进展[J].中国医学物理学杂志,2019,36(11):1312.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.013]
　ZHAO Yanfu,SUI Li,LI Yueru.Progress on brain fatigue detection based on electroencephalogram[J].Chinese Journal of Medical Physics,2019,36(11):1312.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.013]
[5]赵彦富,随力,李月如.基于脑电图的脑疲劳检测研究进展[J].中国医学物理学杂志,2019,36(11):1312.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.013]
　ZHAO Yanfu,SUI Li,LI Yueru.Progress on brain fatigue detection based on electroencephalogram[J].Chinese Journal of Medical Physics,2019,36(11):1312.[doi:DOI:10.3969/j.issn.1005-202X.2019.11.013]
[6]李嘉慧,刘建鹏,潘智林,等.精神分裂症患者认知功能损伤的神经生物学基础和电生理表现[J].中国医学物理学杂志,2020,37(1):115.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.021]
　LI Jiahui,LIU Jianpeng,et al.Neurobiological bases and electrophysiological manifestations of cognitive impairments in patients with schizophrenia[J].Chinese Journal of Medical Physics,2020,37(11):115.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.021]
[7]王耀辉,吕喆,张重阳,等.基于脑电信号样本熵的急性脑梗死患者溶栓效果评价[J].中国医学物理学杂志,2022,39(1):81.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.014]
　WANG Yaohui,L?Zhe,ZHANG Chongyang,et al.Evaluation of thrombolysis in patients with acute cerebral infarction based on EEG sample entropy[J].Chinese Journal of Medical Physics,2022,39(11):81.[doi:DOI:10.3969/j.issn.1005-202X.2022.01.014]
[8]徐学涛,蒋晓宏,曾利明,等.脑电图联合MRI在新生儿缺氧缺血性脑病诊断及预后的应用[J].中国医学物理学杂志,2022,39(7):856.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.011]
　XU Xuetao,JIANG Xiaohong,ZENG Liming,et al.Application of electroencephalography combined with MRI in the diagnosis and prognosis of neonatal hypoxic-ischemic encephalopathy[J].Chinese Journal of Medical Physics,2022,39(11):856.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.011]
[9]陈明武,郑诗豪,杨波,等.CTP灌注参数联合脑电图对aSAH继发癫痫及预后的价值分析[J].中国医学物理学杂志,2023,40(2):182.[doi:DOI:10.3969/j.issn.1005-202X.2023.02.009]
　CHEN Mingwu,ZHENG Shihao,YANG Bo,et al.Predictive value of CTP parameters combined with electroencephalogram for epilepsy secondary to aSAH and the prognosis[J].Chinese Journal of Medical Physics,2023,40(11):182.[doi:DOI:10.3969/j.issn.1005-202X.2023.02.009]
[10]王耀,逯迈.经颅磁刺激和脑电联合作用时电磁场分布的仿真研究[J].中国医学物理学杂志,2023,40(3):369.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.017]
　WANG Yao,LU Mai.Simulation study of electromagnetic field distribution when combining TMS with EEG[J].Chinese Journal of Medical Physics,2023,40(11):369.[doi:DOI:10.3969/j.issn.1005-202X.2023.03.017]

备注/Memo

备注/Memo:
【收稿日期】2019-06-07 【基金项目】广东省前沿与关键技术创新专项资金（重大科技专项）（2016B010108003）；广东省公益研究与能力建设专项资金（2016A020216004）；广东省协同创新与平台环境建设专项资金（2017A040405059）；广东省科技重点领域研发计划项目（2018B030335001）；广州市产学研协同创新重大专项（201604020170,201704020168,201704020113, 201807010064, 201803010100, 201903010032） 【作者简介】刘亚，硕士研究生，主要研究方向为生物医学电子与仪器，E-mail: 2806567965@qq.com
更新日期/Last Update: 2019-11-28