Skip to main content

了解注意力#

在专注状态下，脑电波具有独特的特征12，研究表明专注状态下脑电波的高频能量会增加而低频能量相应减少345。

FLOWTIME 基于大量数据建模，并通过实时分析脑电波的频谱特征从而计算注意力，用于评价专注程度。注意力的范围为 0-100，值越高表明越专注，即大脑越活跃。 通过专注思考、注视等方式可以提高注意力的值。

info

由于每个人的脑电节律存在差异，FLOWTIME 会在体验的初始阶段采集基线来进行自适应。为了获得较好的体验，在体验开始的前30秒请尽量减少面部活动（如眨眼、眼动、咬牙等）带来的干扰。

  1. Wang, Yu-Kai & Jung, Tzyy-Ping & Lin, Chin-Teng. (2015). EEG-Based Attention Tracking During Distracted Driving. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society. 23. 10.1109/TNSRE.2015.2415520. ↩
  2. Xu, Lu-Qiang & Liu, Jing-Xia & Xiao, Guang-Can & Jin, Wei-Dong. (2013). Characterization and classification of EEG attention level. Journal of Computer Applications. 32. 3268-3270. 10.3724/SP.J.1087.2012.03268. ↩
  3. Lutsyuk, N. & Éismont, E. & Pavlenko, Vladimir. (2006). Modulation of attention in healthy children using a course of EEG-feedback sessions. Neurophysiology. 38. 389-395. 10.1007/s11062-006-0076-0. ↩
  4. Lansbergen, Marieke & Arns, Martijn & Dongen-Boomsma, Martine & Spronk, Desirée & Buitelaar, Jan. (2011). The increase in theta/beta ratio on resting-state EEG in boys with attention-deficit/hyperactivity disorder is mediated by slow alpha peak frequency. Progress in neuro-psychopharmacology & biological psychiatry. 35. 47-52. 10.1016/j.pnpbp.2010.08.004. ↩
  5. Putman, Peter & Verkuil, Bart & Arias-Garcia, Elsa & Pantazi, Ioanna & van Schie, Charlotte. (2013). Erratum to: EEG theta/beta ratio as a potential biomarker for attentional control and resilience against deleterious effects of stress on attention. Cognitive, affective & behavioral neuroscience. 14. 10.3758/s13415-013-0238-7.↩