Using a smartphone to measure head motion in a NIRS experiment

1 min read

Sensitivity of fNIRS measurement to head motion: An applied use of smartphones in the lab
Sensitivity of fNIRS measurement to head motion: An applied use of smartphones in the lab

Is it possible to use a smartphone to measure head motion in a NIRS study? Is it reliable? After all, smartphones are so popular right now and everybody has it. It would make head motion measurement much more convenient than a traditional stand-alone accelerometer if the answers to the above questions are yes.

The good news is, the answers are YES!

In our recently published paper, we demonstrated that a NIRS researcher can easily attach a smartphone to a participant’s head, measure the motion data (3-D), export and analyze the data, and integrate with NIRS measurement.

The title of the paper is “Sensitivity of fNIRS measurement to head motion: An applied use of smartphones in the lab“. The full-text can be found here.

Abstract

Background

Powerful computing capabilities in small, easy to use hand-held devices have made smart technologies such as smartphones and tablets ubiquitous in today’s society. The capabilities of these devices provide scientists with many tools that can be used to improve the scientific method.

Method

Here, we demonstrate how smartphones may be used to quantify the sensitivity of functional near-infrared spectroscopy (fNIRS) signal to head motion. By attaching a smartphone to participants’ heads during the fNIRS scan, we were able to capture data describing the degree of head motion.

Results

Our results demonstrate that data recorded from an off-the-shelf smartphone accelerometer may be used to identify correlations between head-movement and fNIRS signal change. Furthermore, our results identify correlations between the magnitudes of head-movement and signal artifact, as well as a relationship between the direction of head movement and the location of the resulting signal noise.

Conclusions

These data provide a valuable proof-of-concept for the use of off-the-shelf smart technologies in neuroimaging applications.

Keywords

  • Near-infrared spectroscopy;
  • fNIRS;
  • smartphone;
  • technology;
  • neuroimaging;
  • accelerometer



写作助手,把中式英语变成专业英文


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

第五十一期fNIRS Journal Club通知2024/05/11, 10am 雷心博士

机器人通常以合作者的身份出现,以礼貌、鼓励、友好的方式与人类互动,但如果有一个竞争导向的机器人出现会如何?人们更喜欢与合作导向的机器人互动,还是更愿意通过竞争来激发自身动力呢?当我们与机器人合作或竞争
Wanling Zhu
13 sec read

第五十期fNIRS Journal Club视频 王一晖

Youtube: https://youtu.be/a2QlCFZUytA优酷:https://v.youku.com/v_show/id_XNjM3MjMyNjUxMg==.html 早期的 STE
Wanling Zhu
13 sec read

第五十期fNIRS Journal Club通知2024/03/30, 10am 王一晖

早期的 STEM 教育对于以后的学习至关重要。现有研究尚未就STEM教学法达成共识,学生先验知识对基于故事的STEM教学法的影响还有待探讨。来自澳门大学张娟教授团队的王一晖将会分享基于fNIRS超扫描
Wanling Zhu
9 sec read

Leave a Reply

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