一(yi)、產(chan)品概(gai)述：

   芬(fen)蘭(lan)NeurOne EEG/ERP高(gao)精(jing)(jing)度腦(nao)(nao)電(dian)測(ce)(ce)量(liang)/事(shi)件(jian)相(xiang)關電(dian)位系統(tong)是最新(xin)(xin)研(yan)發(fa)的(de)創(chuang)新(xin)(xin)型腦(nao)(nao)科學(xue)研(yan)究(jiu)高(gao)端儀器(qi)設備，NeurOne認(ren)知神經(jing)(jing)科學(xue)測(ce)(ce)量(liang)系統(tong)采用了世界最新(xin)(xin)的(de)數字信(xin)號(hao)(hao)處理技術發(fa)展(zhan)，目(mu)前是全世界性(xing)能最好的(de)神經(jing)(jing)科學(xue)測(ce)(ce)量(liang)腦(nao)(nao)電(dian)與(yu)事(shi)件(jian)相(xiang)關電(dian)位系統(tong)，并提(ti)供了更(geng)加(jia)精(jing)(jing)確與(yu)干凈的(de)信(xin)號(hao)(hao)質量(liang)、更(geng)高(gao)的(de)采樣率、模(mo)塊化解決(jue)方案，在(zai)數字信(xin)號(hao)(hao)加(jia)工過程中利用最新(xin)(xin)處理手段,使其更(geng)加(jia)具有靈活(huo)性(xing)和擴(kuo)展(zhan)性(xing)。NeurOne是一個多(duo)功能系統(tong)，廣泛應用于不(bu)同(tong)的(de)認(ren)知神經(jing)(jing)科學(xue)、心(xin)理與(yu)行為科學(xue)以及人因工程與(yu)工效學(xue)等(deng)研(yan)究(jiu)領域。

二(er)、多模態腦(nao)功能研究：

NeurOne系統可(ke)以與fMRI功(gong)能(neng)(neng)(neng)性(xing)核磁(ci)共振、fNIRS功(gong)能(neng)(neng)(neng)性(xing)近(jin)紅外光譜腦(nao)(nao)成像或者(zhe)TMS經顱(lu)磁(ci)刺(ci)激器結合進行多模態腦(nao)(nao)功(gong)能(neng)(neng)(neng)實驗(yan)研究；NeurOne提供了專為與TMS經顱(lu)磁(ci)刺(ci)激器一(yi)起使(shi)用的功(gong)能(neng)(neng)(neng)模塊，有特殊還原技術在短延時(shi)情況(kuang)下來消除磁(ci)制品影響。先進的頭盒(he)設計使(shi)AC交流電和DC直流電信號可(ke)單獨(du)或同時(shi),新的創新Tesla核磁(ci)腦(nao)(nao)電放大(da)器給NeurOne帶(dai)來MRI兼容(rong)性(xing)。

NeurOne腦(nao)電(dian)超掃描系統每個(ge)(ge)放大器的(de)Headbox由32個(ge)(ge)單極、6個(ge)(ge)雙極和(he)2個(ge)(ge)high level輸(shu)入接口組(zu)成，共(gong)計40導(dao)，每導(dao)的(de)采(cai)樣率能達到(dao)(dao)40000Hz，最高(gao)可以達到(dao)(dao)80000Hz。團體超掃描腦(nao)電(dian)測試平臺每套系統可提供多至2-30個(ge)(ge)放大器（共(gong)計128/1200導(dao)）的(de)協調同步,并可選擇支(zhi)持視頻同步。NeurOne系統最高(gao)支(zhi)持1200高(gao)導(dao)聯，并可確(que)保(bao)所(suo)有(you)通道的(de)同步采(cai)集。精心(xin)設計的(de)啟動和(he)時間鎖(suo)定(ding)功能確(que)保(bao)系統中(zhong)所(suo)有(you)通道無相位(wei)偏差。所(suo)有(you)的(de)通道都(dou)使用高(gao)質量(liang)的(de)24位(wei)A/D模擬數字芯片來處理數據(ju)。

三(san)、多功能應用：　

●1、EEG-Hyperscanning腦電超掃描研究:

NeurOne腦電超(chao)掃(sao)描系統(tong)的模塊化(hua)設計(ji)可以提供(gong)多達(da)2-30人實時同(tong)步進(jin)行(xing)腦功能超(chao)掃(sao)描測試使(shi)用系統(tong)，并支持完全(quan)同(tong)步視頻的攝影機。使(shi)用創新的Brainstorm超(chao)掃(sao)描技術 (Multi Syncbox)，支持多達(da)10個(ge) NeurOne主(zhu)機系統(tong)實時同(tong)步，允許最(zui)多30人使(shi)用30個(ge)放(fang)大器同(tong)時工作–均(jun)由一臺電腦記錄。

●2、EEG-fNIRS多模態研究: NeurOne多模(mo)態(tai)腦功能(neng)(neng)測(ce)試(shi)系統可以和fNIRS（高(gao)密度(du)近紅外腦功能(neng)(neng)成像(xiang)系統）搭(da)配使用(yong)，將(jiang)EEG和fNIRS進行整合發揮二者(zhe)的(de)優勢，EEG的(de)時間(jian)(jian)分(fen)辨(bian)(bian)率高(gao)，但(dan)是(shi)(shi)空間(jian)(jian)分(fen)辨(bian)(bian)率低(di)；fNIRS的(de)時間(jian)(jian)分(fen)辨(bian)(bian)率低(di)，實時性較差，但(dan)是(shi)(shi)空間(jian)(jian)分(fen)辨(bian)(bian)率高(gao)。為了準確、全面、實時的(de)測(ce)量(liang)大(da)腦在認知(zhi)過程中的(de)活動，實現全面、實時的(de)腦成像(xiang)方式無疑是(shi)(shi)一種更好(hao)的(de)策略。結合EEG與fNIRS的(de)多模(mo)態(tai)腦成像(xiang)技術在認知(zhi)神經科學研究(jiu)中有(you)著很好(hao)的(de)應用(yong)前(qian)景，同時還可搭(da)建(jian)多模(mo)態(tai)腦-機接口系統。

●3、EEG-fNIRS多模態腦機接口研究:傳(chuan)統基(ji)于單(dan)一模態腦(nao)電(EEG)腦(nao)-機接(jie)(jie)口易受環境噪聲干擾、分類精度低等問(wen)題,在EEG腦(nao)-機接(jie)(jie)口的(de)研究基(ji)礎上,引入功能近(jin)紅外(wai)光譜成像(function NearInfraredSpectroscopy,fNIRS)技術(shu),可以自(zi)行設(she)計EEG-fNIRS多模態腦(nao)-機接(jie)(jie)口的(de)實驗范式,研究最重(zhong)要的(de)特征(zheng)提取(qu)與分類環節，同時SIMULINK驅動程(cheng)序可在訂(ding)單(dan)中選購，并提供BCI腦(nao)機接(jie)(jie)口應用程(cheng)序: BCI2000可免費提供給(gei)NeurOne用戶(hu)。

●4、EEG-TMS多模態研究: NeurOne多模(mo)態腦功(gong)能測試系統可以和(he)TMS（經(jing)顱磁刺(ci)激器(qi)）搭配使用。高動態輸入(ru)范圍(wei)（+/-430mV的(de)(de)直流(liu)電(dian)模(mo)式(shi)以及+/-86mV的(de)(de)交流(liu)電(dian)模(mo)式(shi)），較大(da)的(de)(de)模(mo)擬帶寬（直流(liu)輸出(chu)3500HZ），讓(rang)TMS保持較低的(de)(de)偽影，使得(de)分析大(da)腦活動的(de)(de)潛伏期更(geng)短。此外，TMS擁(yong)有(you)硬件(jian)(jian)弱(ruo)音功(gong)能以及在線偽影消除的(de)(de)軟件(jian)(jian)功(gong)能。此外我(wo)們(men)增加了EEG采樣(yang)同步觸發(fa)(fa)新功(gong)能。觸發(fa)(fa)器(qi)由刺(ci)激系統軟件(jian)(jian)發(fa)(fa)出(chu)（ErgoLAB刺(ci)激編譯軟件(jian)(jian)、Presentation軟件(jian)(jian), Superlab軟件(jian)(jian), E-Prime軟件(jian)(jian)），這些觸發(fa)(fa)信號(hao)能夠通過NeurOne主控器(qi)傳到TMS設備(bei)上(shang)。NeurOne可以在持續的(de)(de)EEG采樣(yang)信號(hao)中發(fa)(fa)出(chu)觸發(fa)(fa)脈沖，產(chan)生更(geng)精確的(de)(de)TMS，減少(shao)偽影，更(geng)容(rong)易進(jin)行(xing)偽影去除。

NeurOne結合TMS案例應用：//suixiangcoffee.cn/newsShow_88.html

●5、EEG-fMRI多模(mo)態研究: NeurOne Tesla多(duo)模態腦功能測試系(xi)統使得同時測量(liang)MRI和EEG成為(wei)可能。利用NeurOne SyncboxEEG所獲得的數據和MRI掃描(miao)是同步的(例如4或(huo)10MHz)。高(gao)動態輸入范圍(+/- 430 mV的直(zhi)流電模式和 +/-86 mV的交流(liu)電模式)結合(he)模擬帶寬(直流輸出3500 Hz) ,使利(li)用高梯度力(li)度獲得(de)精確(que)信號毫無(wu)風(feng)險。

四(si)、應用領(ling)域：

EEG/EP測量

ERP研究

EEG +TMS結合多模(mo)態腦功能(neng)研(yan)究

EEG +fMRI結(jie)合多模態腦功能研究(jiu)

多(duo)通道EMG肌(ji)電圖研究

群組超掃(sao)描研究（多達4人4視頻攝像機(ji)完(wan)全(quan)同(tong)步）

其他神經科學的測量

其他心理測量

五、 NeurOne放大(da)器參數：

放大器采樣率：512導(dao)(dao)同時采集，每導(dao)(dao)可達20,000 Hz ；20000 HZ/每通道（512導(dao)(dao)單人(ren)/或最大30人(ren)團(tuan)體1200導(dao)(dao)）

最大通道數：所有導聯均同步采集信(xin)號(hao)，最(zui)大支持1200高(gao)導聯，

腦電超掃描技術：支持Hyperscanning最多支持30人同步采集團(tuan)體(ti)腦電(dian)數(shu)據；

多模態腦功能測試技術：支持EEG-TMS，EEG-fNIRS，EEG-fMRI等(deng)研究技術方案(an)

A/D Resolution：24 Bit

輸入阻抗：>1 GOhms

共模抑制比（CMRR）： Typically 106 dB

帶寬（Bandwidth）： Max. 0 ～ 3500Hz

低通濾波：DC (10000Hz)   ;    -3 dB（7000 Hz）

高通濾波：   -3 dB（0.16 Hz）

輸入噪聲（InputNoise）：（DC Mode）：<0.8uV RMS (0-200 Hz)，<2.0uV RMS(DC-3500 Hz) ；

輸入范圍（Full Scale Input Range）（DC Mode）：± 430 mV

系統增益（System Gain）（DC Mode）：10

靈敏度（Sensitivity）（DC Mode)： 51 nV/bit

噪聲（Noise）（AC Mode）：<0.6 μV RMS (0.16-200 Hz)， < 1.5 μV RMS (0.16-3500 Hz)

輸入范圍（Full Scale Input Range）（AC Mode）：± 4.3 mV

系統增益（System Gain）（AC Mode）： 50

靈敏度（Sensitivity）（AC Mode）： 0.51 nV/bit

數字化（TTL）輸入： 8 Bit非隔離輸入觸發，2個隔離輸入/輸出線2 isolated trigger in/out lines, 8 bit unisolated trigger in

High Level 輸入范圍：   ± 5V or ± 10V (with isolated analog adapter, settable)

阻抗： 1 kΩ to 50 kΩ

Headbox 體積（H x W x D）： 20 x 7 x 16 (40 channels),

Headbox 重量： 0.680 kg

Main unit體積（H x W x D）：33×12×27 cm,

Main unit重量：3.6

安全規范：EN 60601-1，EN 60601-1-1，EN 60601-1-2，EN60601-1-4，EN60601-2-26

NeurOne用戶請注意：
注意 &ndash; 僅用于(yu)(yu)科(ke)研，不用于(yu)(yu)診斷(duan)過程,設備可(ke)用于(yu)(yu)非(fei)臨床(chuang)實驗研究。

參考文獻：

PUBLICATIONS USING NEURONE EEG/ERP ORNEURONE TESLA :

1. A platform for realtime processing of biosignalsfor monitoring purposes. PITKÄNEN,PAAVO. Master of Science Thesis. Tampere University of Technology. May 2012. InFinnish

2. A New Platform for Realtime BCI Applications. Paavo Pitkänen1,2,Jukka Kinnunen2, Tarmo Lipping1 (IEEE,Senior Member). 1 Tampere University Of Technology, 2 Mega Electronics Ltd. Poster at Berlin BCI meeting 2012

3. Visual ERP P3 amplitude and latency in standaloneand embedded visual processing task. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:781-4.doi: 10.1109/IEMBS.2011.6090179. Korpela J, Huotilainen M. Brain Work ResearchCentre, Finnish Institute of Occupational Health, Helsinki, Finland. jussi.korpela@ttl.fi

4. The effect of automatic blink correction onauditory evoked potentials. Korpela,J. ; Brain Work Res. Centre, Finnish Inst. of Occupational Health, Helsinki,Finland ; Vigario, R. ; Huotilainen, M. 10.1109/EMBC.2012.6346009

5. Breakfast high in whey protein or carbohydratesimproves coping with workload in healthy subjects. Nora Sihvola a1, Riitta Korpela a1, Andreas Henelius a2, Anu Holm a2 a3,Minna Huotilainen a2, Kiti Müller a2,Tuija Poussa a4, Kati Pettersson a2,Anu Turpeinen a5 and Katri Peuhkuri a1 c1.a1 Institute of Biomedicine, Medical NutritionPhysiology, Pharmacology, University of Helsinki, PO Box 63, HelsinkiFIN-00014, Finland. a2 Finnish Institute of Occupational Health,Brain and Technology Team, Topeliuksenkatu 41 aA, Helsinki FIN-00250, Finland.&nbsp;a3 Department of Clinical Neurophysiology, Hospital District of Satakunta,Sairaalantie 3, Pori FIN-28500, Finland a4 Stat-Consulting,Vahverokatu 6, Nokia FIN-37130, Finland a5 ValioLimited, PO Box 30, VALIO, Helsinki FIN-00039, Finland British Journal ofNutrition, 2013

6. Pilot Study ofAcupuncture Point Laterality: Evidence from Heart Rate Variability. Guangjun Wang, Yuying Tian, ShuyongJia,Wenting Zhou, and Weibo Zhang.

Institute ofAcupuncture and Moxibustion, China Academy of Chinese Medical Sciences, 16Dongzhimennei, Nanxiaojie, Dongchen District, Beijing 100700, China Evidence-BasedComplementary and Alternative Medicine. Volume 2013 (2013), Article ID 476064,7 pages //www.hindawi.com/journals/ecam/aip/476064/

7. Algorithm forautomatic analysis of electro-oculographic data.

Kati Pettersson1*, Sharman Jagadeesan1, Kristian Lukander1,Andreas Henelius1, Edward Hæggström2 andKiti Müller1

1Brain Work Research Center, FinnishInstitute of Occupational Health, Topeliuksenkatu 41aA, Helsinki 00250,Finland.

2Electronics Research Laboratory, Departmentof Physics, University of Helsinki, P. O. Box 64, Gustaf Hällströmin katu 2,Helsinki FIN-00014, Finland.

BioMedicalEngineering OnLine 2013 12:110.

8. Brain-statedependent brain stimulation: Real-time EEG alpha band analysis using slidingwindow FFT phase progression extrapolation to trigger an alpha phase locked TMSpulse with 1 millisecond accuracy.

Christoph Zrenner,Johannes Tünnerhoff , Carl Zipser, Florian Müller-Dahlhaus , Ulf Ziemann

Center forNeurology, Tübingen University, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany

BrainStimulation: Basic, Translational, and Clinical Research in Neuromodulation:Volume 8, Issue 2, A1-A10, 169-438

9. Behavioral andelectrophysiological evidence for fast emergence of visual consciousness.

Henry Railo1,2,3,*,Antti Revonsuo1,2,3,4 and Mika Koivisto1,2,3

1Department of Psychology, University ofTurku, 20014, Finland; 2Centre for Cognitive Neuroscience, University of Turku, 20014, Finland;3Brain and Mind Centre, University of Turku,20014, Finland; 4School of Bioscience, University of Skövde,SE-54128, Sweden

Neuroscience ofConsciousness, 2015, 1–12

10. Fastdetermination of MMN and P3a responses to linguistically and emotionallyrelevant changes in pseudoword stimuli

Satu Pakarinen,Laura Sokka, Marianne Leinikka, Andreas Henelius, Jussi Korpela,Minna

Huotilainen

Finnish Institute ofOccupational Health, Helsinki, Finland

NeuroscienceLetters 577 (2014) 28–33

11. Alterationsin attention capture to auditory emotional stimuli in job burnout: Anevent-related potential study

Laura Sokka a, Minna Huotilainen a, Marianne Leinikka a, Jussi Korpela a, Andreas Henelius a,Claude Alain b,c, Kiti Müller a,Satu Pakarinena

a Finnish Institute of Occupational Health,Topeliuksenkatu 41 a A, 00250 Helsinki, Finland

b Rotman Research Institute, Baycrest Centrefor Geriatric Care, 3560 Bathurst Street, Toronto, Ontario, Canada M6A 2E1

c Department of Psychology, University ofToronto, Toronto, Ontario, Canada

InternationalJournal of Psychophysiology 94 (2014) 427–436

12. Brain-statedependent non-invasive brain stimulation using closed-loop real-time EEG signalanalysis to trigger a TMS pulse with millisecond accuracy

C. Zrenner, J.Tünnerhoff, C. Zipser, F. Müller-Dahlhaus, U. Ziemann

University ofTübingen, Center of Neurology, Tübingen, Germany

SocietyProceedings / Clinical Neurophysiology 126 (2015) e63–e170

13. BilateralHegu Acupoints Have the Same Effect on the Heart Rate Variability of theHealthy Subjects

Wang Guangjun, TianYuying, Jia Shuyong, ZhouWenting, and ZhangWeibo

Institute ofAcupuncture and Moxibustion, China Academy of Chinese Medical Sciences,

Beijing 100700,China

Hindawi PublishingCorporation

Evidence-BasedComplementary and Alternative Medicine

Volume 2014, ArticleID 106940, 5 pages (//dx.doi.org/10.1155/2014/106940)

14. AcupunctureRegulates the Heart Rate Variability

Guangjun Wang,Yuying Tian, Shuyong Jia, Wenting Zhou, Weibo Zhang

Institute ofAcupuncture and Moxibustion, China Academy of Chinese Medical Sciences,

Beijing, China

J AcupunctMeridian Stud 2015;8(2):94-98

15. Closed-LoopNeuroscience and Non-Invasive Brain Stimulation: A Tale of Two Loops

Christoph Zrenner,Paolo Belardinelli, Florian Müller-Dahlhaus and Ulf Ziemann

Brain Network andPlasticity Laboratory, Department of Neurology and Stroke and Hertie-Institutefor Clinical Brain Research, University of Tübingen, Tübingen, Germany

Frontiers inCellular Neuroscience, April 2016, Volume 10, Article 92

16. Physiologicalprocesses non-linearly affect electrophysiological recordings duringtranscranial electric stimulation

Noury, N., et al.,NeuroImage (2016), 

17. Job burnout is associated with dysfunctions inbrain mechanisms ofvoluntary and involuntary attention Laura Sokka, Marianne Leinikka, JussiKorpela, Andreas Henelius, Lauri Ahonen,Claude Alain, Kimmo Alho, MinnaHuotilainen, //dx.doi.org/10.1016/j.biopsycho.2016.02.010

18. Shifting ofattentional set is inadequate in severe burnout: Evidence from an event-relatedpotential study

Laura Sokka, MarianneLeinikka, Jussi Korpela, Andreas Henelius, Jani Lukander, Satu Pakarinen, KimmoAlho, Minna Huotilainen. PII: S0167-8760(16)30853-4 DOI: doi:10.1016/j.ijpsycho.2016.12.004