• 文献标题:   Three-in-One Portable Electronic Sensory System Based on Low-Impedance Laser-Induced Graphene On-Skin Electrode Sensors for Electrophysiological Signal Monitoring
  • 文献类型:   Article
  • 作  者:   ZHANG Q, QU ML, LIU XY, CUI YL, HU HN, LI QY, JIN MF, XIAN JY, NIE ZW, ZHANG C
  • 作者关键词:   electrophysiological signal monitoring, embedded machine learning, humanmachine interface, laserinduced graphene, onskin sensor
  • 出版物名称:   ADVANCED MATERIALS INTERFACES
  • ISSN:   2196-7350
  • 通讯作者地址:  
  • 被引频次:   1
  • DOI:   10.1002/admi.202201735 EA DEC 2022
  • 出版年:   2023

▎ 摘  要

On-skin sensors can precisely perceive important electrophysiological signals, including electroencephalogram (EEG), electrocardiogram (ECG), and electromyogram (EMG). Despite significant advances in the development of soft materials as electrode sensors, data acquisition (DAQ) unit-another indispensable component of on-skin electronic sensory systems-typically exhibits bulkiness or unimodal sensing, which is detrimental to the portability of the sensory system or the comprehensiveness of the perceived information. Here, a portable and multimodal DAQ unit to tackle these challenges is designed. By assembling the DAQ unit with low-impedance (<100 omega) laser-induced graphene on-skin electrode sensors, a wireless communication module, a power supply module, and a 3D printed protective shell, the completed sensory system can realize three-in-one monitoring of EEG, ECG, and EMG with a light weight of 22 g and a low cost of $25. Moreover, a mobile App is developed to display the perceived electrophysiological signals in real time. Human-machine interface and embedded machine learning are demonstrated using the designed sensory system, indicating its potential applications in artificial intelligence. The success of this inexpensive three-in-one portable electronic sensory system sheds light on design, fabrication, and commercialization of multifunctional wearable electronics with wide applications in fitness tracking, medical diagnostics, and human-machine interface.