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利用人体运动伴随的静电感应电流的非接触式实时人体电位测量技术。

A Non-Contact and Real-Time Measurement Technique of Human Body Potential Using Electrostatic Induction Current Accompanied by Human Body Motion.

机构信息

Department of Electrical Engineering and Computer Science, Faculty of Engineering, Kindai University, Higashiosaka 577-8502, Japan.

出版信息

Sensors (Basel). 2022 Sep 21;22(19):7161. doi: 10.3390/s22197161.

DOI:10.3390/s22197161
PMID:36236262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9573315/
Abstract

This paper describes a non-contact and real-time measurement technique of human body potential using ultra-sensitive electrostatic induction. When a participant moves his/her palm to a position approximately 30 cm away from an electrostatic induction sensor, electrostatic induction current flows transiently. It is clarified whether estimation of the human body potential is possible by simultaneously measuring the velocity of the participant's palm and distance between the participant's palm and sensor. In addition, even when the participant walks at a position approximately 50 cm away from the electrostatic induction sensor, it is confirmed that the estimation of human body potential is possible.

摘要

本文提出了一种利用超灵敏静电感应进行人体电位非接触实时测量的技术。当参与者将手掌移动到距离静电感应传感器约 30 厘米的位置时，会产生瞬时静电感应电流。通过同时测量参与者手掌的速度和手掌与传感器之间的距离，来确定是否可以对手掌的静电感应电流进行人体电位的估计。此外，即使参与者在距离静电感应传感器约 50 厘米的位置行走，也可以确认对手掌静电感应电流进行人体电位的估计是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/c2dfddde7111/sensors-22-07161-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/e15048b0c0b3/sensors-22-07161-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/9632aaca7faf/sensors-22-07161-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/6093a463d29a/sensors-22-07161-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/a4b2333b793a/sensors-22-07161-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/51715bb7f2b9/sensors-22-07161-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/75527187d27a/sensors-22-07161-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/f362967e2b96/sensors-22-07161-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/bd79ebeb23c1/sensors-22-07161-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/aa5730abdb7d/sensors-22-07161-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/c2dfddde7111/sensors-22-07161-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/e15048b0c0b3/sensors-22-07161-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/9632aaca7faf/sensors-22-07161-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/6093a463d29a/sensors-22-07161-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/a4b2333b793a/sensors-22-07161-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/51715bb7f2b9/sensors-22-07161-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/75527187d27a/sensors-22-07161-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/f362967e2b96/sensors-22-07161-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/bd79ebeb23c1/sensors-22-07161-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/aa5730abdb7d/sensors-22-07161-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5bf/9573315/c2dfddde7111/sensors-22-07161-g010.jpg

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本文引用的文献

1
Ultra-Low Power Hand Gesture Sensor Using Electrostatic Induction.基于静电感应的超低功耗手势传感器。
Sensors (Basel). 2021 Dec 10;21(24):8268. doi: 10.3390/s21248268.
2
A Method for Measuring the Height of Hand Movements Based on a Planar Array of Electrostatic Induction Electrodes.基于平面静电感应电极阵列的手部运动高度测量方法。
Sensors (Basel). 2020 May 22;20(10):2943. doi: 10.3390/s20102943.
3
Induction of electric field in human bodies moving near MRI: an efficient BEM computational procedure.人体在 MRI 附近移动时产生的电场：一种有效的边界元计算程序。
IEEE Trans Biomed Eng. 2011 Oct;58(10):2787-93. doi: 10.1109/TBME.2011.2158315. Epub 2011 May 31.