集成技术
集成技術
집성기술
Journal of Integration Technology
2015年
5期
54-62
,共9页
王琼颖%张宏民%李竹琴%刘志勇%王乐凡%孙金玮
王瓊穎%張宏民%李竹琴%劉誌勇%王樂凡%孫金瑋
왕경영%장굉민%리죽금%류지용%왕악범%손금위
脑电%前置放大%滤波%A/D转换%STM32
腦電%前置放大%濾波%A/D轉換%STM32
뇌전%전치방대%려파%A/D전환%STM32
EEG%preampliifcation%iflter%analog-to-digital converter%STM32
脑电信号包含大量的脑功能状态信息,已被广泛应用于脑神经疾病诊断、脑机接口、睡眠分期、麻醉深度监测等领域。脑电信号是幅度为微伏级的生物电信号,频率不超过150 Hz,极易受到眼电、心电等信号干扰,因此,有效提取脑电信号是分析脑电信号的前提。文章设计了基于 STM32的脑电信号采集系统,实现脑电信号的有效采集。通过贴在前额的三导联生物电极,将脑电信号感应至预处理电路,在前端模拟电路中对信号进行多级放大,并设计了无源滤波网络及多个有源滤波器对信号进行滤波和调理,同时加入电平抬升电路、电极连接状态检测电路。利用12位模数转换器将脑电信号转换为数字信号,并通过蓝牙模块传至上位机,实现脑电信号的有效提取与传输,为下一步处理分析提供基础。通过对比采集到的脑电信号和国外同类产品的输出,验证了该脑电采集系统的有效性。
腦電信號包含大量的腦功能狀態信息,已被廣汎應用于腦神經疾病診斷、腦機接口、睡眠分期、痳醉深度鑑測等領域。腦電信號是幅度為微伏級的生物電信號,頻率不超過150 Hz,極易受到眼電、心電等信號榦擾,因此,有效提取腦電信號是分析腦電信號的前提。文章設計瞭基于 STM32的腦電信號採集繫統,實現腦電信號的有效採集。通過貼在前額的三導聯生物電極,將腦電信號感應至預處理電路,在前耑模擬電路中對信號進行多級放大,併設計瞭無源濾波網絡及多箇有源濾波器對信號進行濾波和調理,同時加入電平抬升電路、電極連接狀態檢測電路。利用12位模數轉換器將腦電信號轉換為數字信號,併通過藍牙模塊傳至上位機,實現腦電信號的有效提取與傳輸,為下一步處理分析提供基礎。通過對比採集到的腦電信號和國外同類產品的輸齣,驗證瞭該腦電採集繫統的有效性。
뇌전신호포함대량적뇌공능상태신식,이피엄범응용우뇌신경질병진단、뇌궤접구、수면분기、마취심도감측등영역。뇌전신호시폭도위미복급적생물전신호,빈솔불초과150 Hz,겁역수도안전、심전등신호간우,인차,유효제취뇌전신호시분석뇌전신호적전제。문장설계료기우 STM32적뇌전신호채집계통,실현뇌전신호적유효채집。통과첩재전액적삼도련생물전겁,장뇌전신호감응지예처리전로,재전단모의전로중대신호진행다급방대,병설계료무원려파망락급다개유원려파기대신호진행려파화조리,동시가입전평태승전로、전겁련접상태검측전로。이용12위모수전환기장뇌전신호전환위수자신호,병통과람아모괴전지상위궤,실현뇌전신호적유효제취여전수,위하일보처리분석제공기출。통과대비채집도적뇌전신호화국외동류산품적수출,험증료해뇌전채집계통적유효성。
Electroencephalogram(EEG) contains a large amount of brain function state information, and has been widely applied in many ifelds, such as cranial nerve disease diagnosis, brain-computer interface, and sleep stage and anesthetic depth monitoring. EEG is a weak bio-electric signal, whose amplitude is just microvolt and frequency is lower than 150 Hz. Since EEG is easily interfered by signals, like electro-oculogram and electrocardiogram, effective extraction of EEG is key to EEG analysis. An EEG acquisition system based on STM32 was designed to realize effective acquisition of EEG. In this system, EEG signals were sensed by three lead biological electrodes on the forehead, then ampliifed through multistage ampliifcation in the front analog circuit and ifltered by passive iflter or active iflters. Meanwhile, electrical level rising circuit and electrode connection state detection circuit were also added in. After that, EEG signals were converted to digital value by 12 bit analog-to-digital converter, and then transferred to upper computer via bluetooth module to realize effective extraction and transmission, providing the basis for further processing and analysis. The effectiveness of this EEG acquisition system was veriifed by comparing output with other similar products.