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Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

Soft dry electroophthalmogram electrodes for human machine interaction.

Xiao Cheng¹, Chongzhi Bao², Wentao Dong^3,4

¹Rail Transportation Technology Innovation Center, East China Jiaotong University, Nanchang, 330013, China.

Biomedical Microdevices

|November 28, 2019

Summary

This summary is machine-generated.

This study introduces a new soft dry electrode for stable electrooculography (EOG) recordings. This technology enables accurate eye-motion recognition for controlling mobile robots in human-machine interaction.

Keywords:

Conductive polymer Electroophthalmogram Human machine interaction Soft electrodes

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Area of Science:

Materials Science
Biomedical Engineering
Robotics

Background:

Soft surface electrodes are crucial for biological signal monitoring, human-machine interaction (HMI), and the Internet of Things (IoT).
Existing electrodes often face challenges in long-term stability and comfort for continuous monitoring.

Purpose of the Study:

To design and fabricate a novel soft dry electrode using a polydimethylsiloxane-carbon black (PDMS-CB) conductive polymer.
To evaluate the electrode's performance for continuous, long-term, and stable electrooculogram (EOG) signal recordings.
To develop an eye-motion recognition system for controlling mobile robots via HMI.

Main Methods:

Fabrication of a soft dry electrode using PDMS-CB conductive polymer.
Acquisition of electrooculogram (EOG) signals corresponding to various eye motions.
Feature extraction from EOG data.
Implementation of Linear Discriminant Analysis (LDA) for eye motion recognition.
Integration with a mobile robot for wireless control via WiFi.

Main Results:

The PDMS-CB soft dry electrode facilitated continuous and stable EOG signal recordings.
LDA achieved a high recognition accuracy of 90.63% for four distinct eye movements (Up, Down, Right, Left).
Successful control of a mobile robot was demonstrated using recognized eye motions and WiFi transmission.

Conclusions:

The developed soft dry electrode offers a promising solution for comfortable, simple, wearable, and wireless control systems.
This technology has significant potential for applications in rehabilitation devices and advanced HMI.
The study validates the efficacy of soft dry electrodes and LDA for robust eye-tracking-based robotic control.