真正的可移动便携脑电采集系统

超小型放大器，蓝牙5.0确保了可靠的无线连接，同时保持了高质量的信号，具有24位分辨率，< 1μV输入参考噪声和> 140 dB的共模抑制。

基于ASR的自动伪影去除

基于ASR的自动实时伪影去除，可实时去除眼电、肌电带来的噪声干扰，在算法运行时，原始数据和ASR后的数据可同时保留，方便后期数据处理。

双极导联记录

8个通道双极电极可配置，可用于ExG记录

快速浏览原始数据

Smarting PRO 和 Smarting PRO X 移动脑电设备可在您的安卓手机上实时预览和记录原始脑电数据。当您准备将脑电带到实验室外使用时，只需要设置电极阻抗插入手动触发器即可。

自动去除伪迹

使用伪迹子空间重建（ASR）算法，实时自动去除运动、肌肉和眨眼伪迹。原始数据显示为紫色，清理后的数据为蓝色。可以同时预览其中一个或者同时查看两者。

视频+脑电

在将脑电数据流传输到安卓设备时，可以使用手机的集成摄像头来记录与脑电信号同步的视频数据。

您有研究需要？

我们提供好的设备和技术支持

应用领域：

认知神经科学      人因工程      脑机接口     运动人体科学     心理学     生物医学工程    计算机科学等

 

国内用户：

 

北京师范大学、北京大学、中国科学院心理研究所、浙江大学、天津大学、西南大学、北京大学第三医院、北京航空航天大学、深圳大学、西安交通大学、空军航空医学研究中心、河南大学、海军医学研究所，电子科技大学、北京科技大学、宁波康宁医院，云南大学、郑州大学第五附属医院、福建农林大学、福建警察学院、中国兵器集团、安徽卫生职业健康学院、东北师范大学、天津体育学院、南京理工大学、安徽工业大学、福建农林大学、天津安定医院、广西南宁五院、宁波甬江实验室、安徽工程大学，华中科技大学同济医学院

 

 

使用设备发表的（部分）论文：

 

 

Nous, A., Seynaeve, L., Feys, O., et al. (2024) Subclinical epileptiform activity in the Alzheimer continuum: association with disease, cognition and detection method. Alz Res Therapy 16, 19 (2024). https://doi.org/10.1186/s13195-023-01373-9

 

Chan, K. R., & Ouyang, G. (2024). Impact of child-centered play therapy intervention on children with autism reflected by brain EEG activity: A randomized controlled trial. Research in Autism Spectrum Disorders, 112, 102336. https://doi.org/10.1016/j.rasd.2024.102336

 

Händel, B. F., Chen, X., & Murali, S. (2024). Reduced occipital alpha power marks a movement induced state change that facilitates creative thinking. Neuropsychologia, 193, 108743. https://doi.org/10.1016/j.neuropsychologia.2023.108743

 

Kannen, K., Rasbach J., Fantazi A., et al. (2024) Alpha modulation via transcranial alternating current stimulation in adults with attention-deficit hyperactivity disorder, Frontiers in Psychology, 14 https://doi.org/10.3389/fpsyg.2023.1280397

 

Jaiswal S., Purpura S., Manchanda J., et al.  (2024) Design and Implementation of a Brief Digital Mindfulness and Compassion Training App for Health Care Professionals: Cluster Randomized Controlled Trial, JMIR Ment Health ;11:e49467 https://doi.org/10.2196/49467

 

Bánki, A., Köster, M., Cichy, R. M., et al. (2024). Communicative signals during joint attention promote neural processes of infants and caregivers. Developmental Cognitive Neuroscience, 65, 101321. https://doi.org/10.1016/j.dcn.2023.101321

 

Ladouce, S., Pietzker, M., Manzey, D., et al. (2024). Evaluation of a headphones-fitted EEG system for the recording of auditory evoked potentials and mental workload assessment. Behavioural Brain Research, 460, 114827. https://doi.org/10.1016/j.bbr.2023.114827

 

Pušica, M., Kartali, A., Bojović, L., et al. (2024). Mental Workload Classification and Tasks Detection in Multitasking: Deep Learning Insights from EEG Study. Brain Sciences, 14(2), 149. https://doi.org/10.3390/brainsci14020149

 

Yang, Q., Feng, S., Zhao, T., et al. (2024). Design with myself: A brain–computer interface design tool that predicts live emotion to enhance metacognitive monitoring of designers. International Journal of Human-Computer Studies, 185, 103229. https://doi.org/10.1016/j.ijhcs.2024.103229

 

Radke, F. A., F., C., Pätzold, W., et al. (2023). Transfer Learning for Automatic Sleep Staging Using a Pre-Gelled Electrode Grid.  Diagnostics, 14(9), 909.
https://doi.org/10.3390/diagnostics14090909

 

M. Köster, A. Bánki, D. Yamasaki, M. Kato, S. Itakura, S. Hoehl; Cross-cultural differences in visual object and background processing in the infant brain. Imaging Neuroscience (2023) https://doi.org/10.1162/imag_a_00038

 

Chiang KJ, Dong S, Cheng CK, Jung TP. Using EEG signals to assess workload during memory retrieval in a real-world scenario. J Neural Eng. (2023)  doi: 10.1088/1741-2552/accbed

 

Alsulaiman R., Centanni M. T. Influence of Enhanced Perceptual Features on Development of Neural Specialization for Arabic Print in Early Readers . Gulf Education and Social Policy Review (GESPR) (2023) https://doi.org/10.18502/gespr.v4i1.13804

 

Aurucci, G.V., Preatoni, G., Damiani, A. et al. Brain-Computer Interface to Deliver Individualized Multisensory Intervention for Neuropathic Pain. Neurotherapeutics (2023). https://doi.org/10.1007/s13311-023-01396-y

 

M. Zolezzi, D., Naal-Ruiz, N. E., Alonso-Valerdi, L. M., & Ibarra-Zarate, D. I. (2023). Chronic neuropathic pain: EEG data in eyes open and eyes closed with painDETECT and brief pain inventory reports. Data in Brief, 48, 109060. https://doi.org/10.1016/j.dib.2023.109060

 

Mintz Hemed, N., & Melosh, N. A. (2023). An integrated perspective for the diagnosis and therapy of neurodevelopmental disorders – From an engineering point of view. Advanced Drug Delivery Reviews, 194, 114723. https://doi.org/10.1016/j.addr.2023.114723

 

Xu, T., Zhao, T., Cruz-Garza, J.G., Bhattacharjee, T., Kalantari, S. (2022). Evaluating Human-in-the-Loop Assistive Feeding Robots Under Different Levels of Autonomy with VR Simulation and Physiological Sensors. In: , et al. Social Robotics. ICSR 2022. Lecture Notes in Computer Science(), vol 13818. Springer, Cham. https://doi.org/10.1007/978-3-031-24670-8_28

 

Ahad, M. T., Hartog, T., Alhashim, A. G., Marshall, M., and Siddique, Z. Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students ASME Open J. Engineering ASME. January 2023 2 021005 doi: https://doi.org/10.1115/1.4056473

 

Selaskowski, B., Asché, L.M., Wiebe, A. et al. Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder. BMC Psychiatry 23, 74 (2023). https://doi.org/10.1186/s12888-023-04551-z

 

F., C., Pätzold, W., Paul, M., Debener, S., & Wolf, K. I. (2022). Pre-gelled Electrode Grid for Self-Applied EEG Sleep Monitoring at Home. Frontiers in Neuroscience, 16, 883966. https://doi.org/10.3389/fnins.2022.883966

 

Chen, X., Cao, L., & Haendel, B. F. (2022). Human visual processing during walking: Dissociable pre- and post-stimulus influences. NeuroImage, 264, 119757. https://doi.org/10.1016/j.neuroimage.2022.119757

 

Angerhöfer, C., Vermehren, M., Colucci, A. et al. The Berlin Bimanual Test for Tetraplegia (BeBiTT): development, psychometric properties, and sensitivity to change in assistive hand exoskeleton application. J NeuroEngineering Rehabil 20, 17 (2023). https://doi.org/10.1186/s12984-023-01137-4

 

Orf, M., Wöstmann, M., Hannemann, R., Obleser, J., Target enhancement but not distractor suppression in auditory neural tracking during continuous speech, ISCIENCE (2023), doi: https://doi.org/10.1016/j.isci.2023.106849.

 

Heremans ERM, Phan H, Borzée P, Buyse B, Testelmans D, De Vos M. From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging. J Neural Eng. 2022 Jun 24;19(3). doi: 10.1088/1741-2552/ac6ca8. PMID: 35508121.

 

Annika Wiebe, Kyra Kannen, Mengtong Li, Behrem Aslan, David Anders, Benjamin Selaskowski, Ulrich Ettinger, Silke Lux, Alexandra Philipsen, and Niclas Braun. Multimodal Virtual Reality-Based Assessment of Adult ADHD: A Feasibility Study in Healthy Subjects, Assessment 0 10.1177/10731911221089193

 

Yang, Q., & Kalantari, S. (2022). Real-time Continuous Uncertainty Annotation (RCUA) for Spatial Navigation Studies. arXiv. https://doi.org/10.48550/arXiv.2207.14651

 

Meiser, A., Tadel, F., Debener, S. et al. The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling. Brain Topogr 33, 665–676 (2020). https://doi.org/10.1007/s10548-020-00793-2

 

Hölle, D., Meekes, J. & Bleichner, M.G. Mobile ear-EEG to study auditory attention in everyday life. Behav Res 53, 2025–2036 (2021). https://doi.org/10.3758/s13428-021-01538-0

 

Li Q, Coulson Theodorsen M, Konvalinka I, Eskelund K, Karstoft KI, Bo Andersen S, Andersen TS. Resting-state EEG functional connectivity predicts post-traumatic stress disorder subtypes in veterans. J Neural Eng. 2022 Nov 9;19(6). doi: 10.1088/1741-2552/ac9aaf. PMID: 36250685.

 

Longo, Luca Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning (2022). https://doi.org/10.48550/arxiv.2209.10992

 

Hölle D, Blum S, Kissner S, Debener S and Bleichner MG (2022) Real-Time Audio Processing of Real-Life Soundscapes for EEG Analysis: ERPs Based on Natural Sound Onsets. Front. Neuroergon. 3:793061. doi: 10.3389/fnrgo.2022.793061

 

Mavros, P., J Wälti, M., Nazemi, M. et al. A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments. Sci Rep 12, 18476 (2022). https://doi.org/10.1038/s41598-022-20649-y

 

Mitsuhiko Ishikawa & Shoji Itakura (2022) Social reward anticipation in infants as revealed by event-related potentials, Social Neuroscience, 17:5, 480-489, DOI: 10.1080/17470919.2022.2138535

 

Martin Orf, Malte Wöstmann, Ronny Hannemann, Jonas Obleser Auditory neural tracking reflects target enhancement but not distractor suppression in a psychophysically augmented continuous-speech paradigm, bioRxiv 2022.06.18.496558; doi: https://doi.org/10.1101/2022.06.18.496558

 

Elisabeth R.M. Heremans, Huy Phan, Amir H. Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos, Feature matching as improved transfer learning technique for wearable EEG, Biomedical Signal Processing and Control, Volume 78, 2022,104009, ISSN 1746-8094,https://doi.org/10.1016/j.bspc.2022.104009.

 

Dasenbrock S, Blum S, Maanen P, Debener S, Hohmann V and Kayser H (2022) Synchronization of ear-EEG and audio streams in a portable research hearing device. Front. Neurosci. 16:904003. doi: 10.3389/fnins.2022.904003

 

Cavanna, F., Muller, S., de la Fuente, L.A. et al. Microdosing with psilocybin mushrooms: a double-blind placebo-controlled study. Transl Psychiatry 12, 307 (2022). https://doi.org/10.1038/s41398-022-02039-0

 

Zeena Britt Sanders, Melanie K Fleming, Tom Smejka, Marilien C Marzolla, Catharina Zich, Sebastian W Rieger, Michael Lührs, Rainer Goebel, Cassandra Sampaio-Baptista, Heidi Johansen-Berg, Self-modulation of motor cortex activity after stroke: a randomized controlled trial, Brain, 2022;, awac239, https://doi.org/10.1093/brain/awac239

 

Holtze B, Rosenkranz M, Jaeger M, Debener S and Mirkovic B (2022) Ear-EEG Measures of Auditory Attention to Continuous Speech. Front. Neurosci. 16:869426. doi: 10.3389/fnins.2022.869426

 

Wiebe A, Kannen K, Li M, Aslan B, Anders D, Selaskowski B, Ettinger U, Lux S, Philipsen A, Braun N. Multimodal Virtual Reality-Based Assessment of Adult ADHD: A Feasibility Study in Healthy Subjects. Assessment. 2022 Apr 18:10731911221089193. doi: 10.1177/10731911221089193. Epub ahead of print. PMID: 35435010.

 

N.E. Naal-Ruiz, L.M. Alonso-Valerdi, D.I. Ibarra-Zarate, “Frequency responses of headphones modulate alpha brain oscillations related to auditory processing,” Applied Acoustics, Volume 185,
2022, 108415, ISSN 0003-682X, https://doi.org/10.1016/j.apacoust.2021.108415.

 

N. E. Naal-Ruiz, L. M. Alonso-Valerdi and D. I. Ibarra-Zarate, “Different Headphone Models Modulate Differently Alpha and Theta Brain Oscillations When Listening to the Same Sound,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 11-14, doi: 10.1109/EMBC46164.2021.9630674.

 

Xinyu Chen, Liyu Cao, Barbara Haendel, Differential effects of walking across visual cortical processing stages, Cortex,2022, ISSN 0010-9452, https://doi.org/10.1016/j.cortex.2022.01.007.

 

Straetmans L, Holtze B, Debener S, Jaeger M, Mirkovic B. Neural tracking to go: auditory attention decoding and saliency detection with mobile EEG. J Neural Eng. 2022 Jan 6;18(6). doi: 10.1088/1741-2552/ac42b5. PMID: 34902846.

 

Ouyang G, Dien J, Lorenz R. Handling EEG artifacts and searching individually optimal experimental parameter in real time: a system development and demonstration. J Neural Eng. 2021 Dec 13. doi: 10.1088/1741-2552/ac42b6. Epub ahead of print. PMID: 34902847.

 

W. W. An et al., “Decoding Music Attention from “EEG Headphones”: A User-Friendly Auditory Brain-Computer Interface,” ICASSP 2021 – 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 985-989, doi: 10.1109/ICASSP39728.2021.9414492.

 

Lee, Young-Eun; Shin, Gi-Hwan; Lee, Minji; Lee, Seong-Whan (2021): Mobile BCI dataset of scalp- and ear-EEG with ERP and SSVEP paradigms during standing, walking, and running. figshare. Dataset. https://doi.org/10.6084/m9.figshare.13604078.v1

 

Tagliazucchi E, Zamberlan F, Cavanna F, de la Fuente L, Romero C, Sanz Perl Y and Pallavicini C (2021) Baseline Power of Theta Oscillations Predicts Mystical-Type Experiences Induced by DMT in a Natural Setting. Front. Psychiatry 12:720066. doi: 10.3389/fpsyt.2021.720066

 

Zamm A, Palmer C, Bauer A-KR, Bleichner MG, Demos AP and Debener S (2021) Behavioral and Neural Dynamics of Interpersonal Synchrony Between Performing Musicians: A Wireless EEG Hyperscanning Study. Front. Hum. Neurosci. 15:717810. doi: 10.3389/fnhum.2021.717810

 

Tehrani, B.M., Wang, J. and Truax, D. (2021), “Assessment of mental fatigue using electroencephalography (EEG) and virtual reality (VR) for construction fall hazard prevention“, Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-01-2021-0017

 

Valle G., Petrini F.M., Mijovic P., Mijovic B., Raspopovic S. (2021) A Computer-Brain Interface that Restores Lost Extremities’ Touch and Movement Sensations. In: Guger C., Allison B.Z., Gunduz A. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79287-9_7

 

Grammer  J. K. , Xu K. , Lenartowicz A. Effects of context on the neural correlates of attention in a college classroom, npj Sci. Learn. 6, 15 (2021).

 

Phillips J. P. , Pirrung C. J. , Weerasinghe I. , Kanishka G. K. , Satharasinghe Y. , Lalitharatne T. D. , Cavanagh J. F. , Kodituwakku P. , Wanigasinghe J. Portable Acquisition of Auditory ERPs – A Pilot Study of Premature Infants, Pediatric Neurology, 2021.

 

Jakovljević T. , Janković M. M. , Savić A.M. , Soldatović I. , Čolić G. , Jakulin T.J. , Papa G. , Ković V. The Relation between Physiological Parameters and Colour Modifications in Text Background and Overlay during Reading in Children with and without Dyslexia, Brain Sci. 2021, 11, 539.

 

Schneider J. M. , Weng Y. , Hu A. , & Qi Z. Linking the neural basis of hierarchical prediction with statistical learning: The paradox of attention, preprint

 

Atici-Ulusu H. , Dila Ikiz Y. , Taskapilioglu O. , Gunduz T. Effects of augmented reality glasses on the cognitive load of assembly operators in the automotive industry, International Journal of Computer Integrated Manufacturing, 2021.

 

Grennan G. , Balasubramani P. P. , Alim F. , Zafar-Khan M. , Lee E. , Jeste D. , Mishra J. Cognitive and Neural correlates of Loneliness and Wisdom during Emotional Bias, Cerebral Cortex 2021.

 

Tagliazucchi E. , Zamberlan F. , Cavanna F. , Fuente L. , Romero C. , Sanz Perl Y. , Pallavicini C. Baseline power of theta oscillations predicts mystical-type experiences induced by DMT, bioRxiv 2021.03.11.434994.

 

Lee Y. , Lee S. Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment,  arXiv:2103.02197

 

Fakhraei L. , Francoeur M. , Balasubramani P. , Tang T. , Hulyalkar S. , Buscher N. , Claros C. , Terry A. , Gupta A. , Xiong H. , Xu Z. , Mishra J. , Ramanathan D. Mapping Large-Scale Networks Associated with Action, Behavioral Inhibition and Impulsivity, eNeuro 0406-20. 2021

 

Jakovljević, T. , Janković, M.M. , Savić, A.M. , Soldatović, I. , Todorović, P. , Jere Jakulin, T. , Papa, G. , Ković, V. The Sensor Hub for Detecting the Developmental Characteristics in Reading in Children on a White vs. Colored Background/Colored Overlays, Sensors 2021, 21, 406.

 

Nann M. , Haslacher D. , Colucci A. , Eskofier B. , Tscharner V. ,Soekadar S. R. Heart rate variability predicts decline in sensorimotor rhythm control, bioRxiv 2021.01.08.424840.

 

Lee Y. , Kwak S. , Lee S. A Real-Time Movement Artifact Removal Method for Ambulatory Brain-Computer Interfaces, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

 

Balasubramani P. , Ojeda A. , Grennan G. , Maric V. , Le H. , Alim F. , Khan M. , Diaz-Delgado J. , Silveira S. , Ramanathan D. , Mishra J. Mapping Cognitive Brain Functions at Scale, preprint

 

Topalović I. , Dedijer Dujović S. , Konstantinović Lj. , Popović D. Surface EMG for the Assessment of the Gait Performance in Hemiplegic Patients, IEEE.

 

Jacobsen N. , Blum S. , Witt K. , Debener S. A walk in the park? Characterizing gait‐related artifacts in mobile EEG recordings, European Journal of Neuroscience, 2020.

 

Bleichner, M.G. , Emkes, R.Building an Ear-EEG System by Hacking a Commercial Neck Speaker and a Commercial EEG Amplifier to Record Brain Activity Beyond the Lab, Journal of Open Hardware, 4(1), p.5.
 

Hölle D. , Meekes J. , Bleichner M. G. Mobile ear-EEG to study auditory attention in everyday life, preprint

 

Winneke H. A. , Schulte M. , Vormann M. , Matthias Latzel M. Effect of Directional Microphone Technology in Hearing Aids on Neural Correlates of Listening and Memory Effort: An Electroencephalographic Study , Volume 24 (2020)

 

Lee Y. , Lee M. , Lee S. Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface, arXiv:2005.08430v1.

 

Kalafatovich J. , Lee M. , Lee S. Prediction of Memory Retrieval Performance Using Ear-EEG Signals, arXiv:2005.01329v3

 

Daeglau M. , Wallhoff F. , Debener S. , Condro I.S. , Kranczioch C. , Zich C. Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback, Sensors 2020, 20(6), 1620.

 

Fjaellingsdal T.G. , Schwenke D. , Ruigendijk E. , Scherbaum S. , Bleichner M.G. Studying brain activity during word-by-word interactions using wireless EEG, PLoS ONE 15(3): e0230280.

 

Lee Y. , Lee M. Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals, arXiv:2002.01085.

 

Spychala N. , Debener S. , Bongartz E. , Möller HHO. , Thorne JD. , Philipsen A Braun N. Exploring Self-Paced Embodiable Neurofeedback for Post-stroke Motor Rehabilitation, Front. Hum. Neurosci. 13:461.

 

Topalović I. , Graovac S. , Popović D. B. EMG map image processing for recognition of fingers movement, Journal of Electromyography and Kinesiology, Volume 49, December 2019, 102364.

 

Farmaki C. , Sakkalis V. , Loesche F. , Nisiforou E. A. Assessing Field Dependence-Independence Cognitive Abilities Through EEG-Based Bistable Perception Processing, Front. Hum. Neurosci. 13:345.

 

Cretot-Richert G. , De Vos M. , Debener S. , Emkes R. , Voix J. Assessing concentration levels through ear-EEG: a comparative study between conventional and mobile EEG systems, Frontiers.

 

Cao L. , Händel B. Walking enhances peripheral visual processing in humans, PLoS Biol 17(10): e3000511.

 

Phan Petrini F. M. , Valle G. , Bumbasirevic M. Barberi F. , Bortolotti D. , Čvančara P. , Hiairrassary A. , Mijović P. , Sverrisson A. O. , Pedrocchi A. , Divoux J. , Popović I. , Lechler K. , Mijović B. , Guiraud D. , Stieglitz T. , Alexandersson A. , Micera S. , Lešić A. , Raspopović S. Enhancing functional abilities and cognitive integration of the lower limb prosthesis, Science Translational Medicine, Vol. 11, Issue 512.

 

Phan Petrini F. M. , Bumbasirevic M. , Valle G. , Ilic V. , Mijović P. , Čvančara P. , Barberi F. , Katic N. , Bortolotti D. , Andreu D. , Lechler K. , Lesic A. , Mazic S. , Mijović B. , Guiraud D. , Stieglitz T. , Alexandersson A. , Micera S. , Raspopovic S. Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain, Nature Medicine 25, 1356-1363 (2019).

 

Hendrikse M. M. E. , Llorach G. , Hohmann V. , Grimm G. Movement and Gaze Behavior in Virtual Audiovisual Listening Environments Resembling Everyday Life, Trends in Hearing, Volume 23 (2019).

 

Phan H. , Chén Y.O. , Koch P. , Lu Z. , McLoughlin I. , Mertins A. , De Vos M. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning, arXiv:1907.13177.

 

Kwak N. , Lee S. Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces, IEEE Transactions on Cybernetics.

 

Nogueira W. , Dolhopiatenko H. , Schierholz I. , Büchner A. , Mirkovic B. , Bleichner M.G. , Debener S. Decoding Selective Attention in Normal Hearing Listeners and Bilateral Cochlear Implant Users With Concealed Ear EEG, Frontiers in Neuroscience, 13:720, 2019.

 

Blum S. , Jacobsen N. , Bleichner M.G. , Debener S. A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling, Frontiers in Human Neuroscience, 13:141, 2019.

 

Mirković B. , Debener S. , Schmidt J. , Jaegera M. , Neher T. Effects of directional sound processing and listener’s motivation on EEG responses to continuous noisy speech: Do normal-hearing and aided hearing-impaired listeners differ?, Hearing Research, 2019.

 

Piñeyro Salvidegoitia M. , Jacobsen N. , Bauer A-KR. , Griffiths B. , Hanslmayr S. , Debener S. Out and about: Subsequent memory effect captured in a natural outdoor environment with smartphone EEG, Psychophysiology, 2019;e13331.

 

Sterr A. , Ebajemito J. K. , Mikkelsen K. B. , Bonmati-Carrion M. A. , Santhi N. , della Monica C. , Grainger L. , Atzori G. , Revell V. , Debener S. , Dijk D. , DeVos M. Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study, Frontiers in Human Neuroscience, Hearing Research, 2019.

稳定良好的信号质量

10分钟快速设置

抗运动干扰

不仅仅可以在实验室内使用

佩戴舒适活动自由