Handy programs to visualize NIRS data (4): wt

33 sec read

In case you need to visualize your time series in both time and frequency domain (or just frequency domain), you can use the wt (wavelet transform) function in the Cross Wavelet and Wavelet Coherence toolbox by Grinsted et al. I often find the color representation makes it easy to discover patterns.

Here is an example of the wavelet transform of a NIRS time series:

Wavelet transform
Wavelet transform

As you can see, there is strong periodicity around period 300 (i.e. 30s because the sampling frequency is 10Hz) and 10 (i.e. 1s). The NIRS signal was obtained from a task with period of 30s and that explains the 30s periodicity. The 1s periodicity is from heart beating and it’s seen in a lot of NIRS data.

If you need to discover patterns of the correlation between two time series, you may use the wtc function in the same toolbox.


Want to receive new post notification? 有新文章通知我

第四十五期fNIRS Journal Club通知2023/9/23, 10am 张宗博士,侯鑫博士

Xu Cui
9 sec read

第四十四期fNIRS Journal Club视频 牛海晶教授

Youtube: https://youtu.be/gOQVFQ-LH7w Youku: https://v.youku.com/v_show/id_XNjAxMDg2MDYwNA==.html 牛海
Xu Cui
5 sec read

第四十四期fNIRS Journal Club通知2023/8/26, 10am 牛海晶教授

在儿童和早期青春期期间,大规模功能网络中的脑信号复杂度(BSC)是如何涌现和演变的,以及是什么因素塑造了这些动态?来自北京师范大学的牛海晶教授将分享他们利用静息态近红外技术研究儿童发育的相关工作。 时
Xu Cui
6 sec read

Leave a Reply

Your email address will not be published. Required fields are marked *