第十五期 fNIRS Journal Club 通知 2020/12/27,10am

51 sec read

胡玥

香港中文大学二年级博士生胡玥为大家介绍一篇方法学文献,即基于人工神经网络重構的多通道fNIRS信号运动伪影校正。该方法不仅对心理学,还对运动科学以及康复医学等领域的研究具有重要的参考价值,热烈欢迎大家参与讨论。

时间: 北京时间2020年12月27日周日上午10点
地点: https://zoom.com
房间号: 859 4100 6556
密码: 467563

Lee, G., Jin, S. H., & An, J. (2018). Motion artifact correction of multi-measured functional near-infrared spectroscopy signals based on signal reconstruction using an artificial neural network. Sensors, 18(9), 2957. 点击查看

该文献的PUBMED信息
PMID: 30189651 
PMCID: PMC6164948 
DOI: 10.3390/s18092957

Abstract: In this paper, a new motion artifact correction method is proposed based on multi-channel functional near-infrared spectroscopy (fNIRS) signals. Recently, wavelet transform and hemodynamic response function-based algorithms were proposed as methods of denoising and detrending fNIRS signals. However, these techniques cannot achieve impressive performance in the experimental environment with lots of movement such as gait and rehabilitation tasks because hemodynamic responses have features similar to those of motion artifacts. Moreover, it is difficult to correct motion artifacts in multi-measured fNIRS systems, which have multiple channels and different noise features in each channel. Thus, a new motion artifact correction method for multi-measured fNIRS is proposed in this study, which includes a decision algorithm to determine the most contaminated fNIRS channel based on entropy and a reconstruction algorithm to correct motion artifacts by using a wavelet-decomposed back-propagation neural network. The experimental data was achieved from six subjects and the results were analyzed in comparing conventional algorithms such as HRF smoothing, wavelet denoising, and wavelet MDL. The performance of the proposed method was proven experimentally using the graphical results of the corrected fNIRS signal, CNR that is a performance evaluation index, and the brain activation map.

第十六期 fNIRS Journal Club 通知 2021/01/23,1pm

瑞典 Karolinska Institutet的潘亚峰博士将为大家讲解他们最近发布的一篇用超扫描研究教师学生关系的文章。热烈欢迎大家参与讨论。潘博士为了这次报告,需要一大早就起床。因此本次报告的时间比过去要稍晚一点。 时间: 北京时间2021年1月23日周六下午1点地点: https://zoom.com房间号: 815 4986 9861密码: 796475 Pan, Guyon, Borragán, Hu, Peigneux (2020) Interpersonal brain synchronization with instructor compensates for learner’s...
Xu Cui
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第十五期 fNIRS Journal Club 视频

北京时间2020年12月27日周日上午10点, 香港中文大学二年级博士生胡玥讲了一篇用神经网络去除运动伪迹的文章。视频如下: Youtube: https://youtu.be/mZkGzm1R7ak Youku: https://v.youku.com/v_show/id_XNTAyODUyMTEyOA==.html
Xu Cui
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第十四期 fNIRS Journal Club 视频

北京时间2020年11月29日周日上午11点, 四川师范大学和芬兰University of Jyväskylä联合培养博士生窦皓然为大家讲解他们最近发布在NeuroImage上关于社会排斥的文章。视频如下: Youtube: https://youtu.be/WcH0UX_iRiw Youku: https://v.youku.com/v_show/id_XNDk4ODYyOTUwOA==.html
Xu Cui
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