Three‐in‐One Portable Electronic Sensory System Based on Low‐Impedance Laser‐Induced Graphene On‐Skin Electrode Sensors for Electrophysiological Signal Monitoring. Issue 3 (1st December 2022)
- Record Type:
- Journal Article
- Title:
- Three‐in‐One Portable Electronic Sensory System Based on Low‐Impedance Laser‐Induced Graphene On‐Skin Electrode Sensors for Electrophysiological Signal Monitoring. Issue 3 (1st December 2022)
- Main Title:
- Three‐in‐One Portable Electronic Sensory System Based on Low‐Impedance Laser‐Induced Graphene On‐Skin Electrode Sensors for Electrophysiological Signal Monitoring
- Authors:
- Zhang, Quan
Qu, Menglong
Liu, Xingye
Cui, Yilei
Hu, Haining
Li, Qianyun
Jin, Meifu
Xian, Jieyu
Nie, Zhengwei
Zhang, Cheng - Abstract:
- Abstract: 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 Ω) 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.Abstract: 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 Ω) 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. Abstract : A three‐in‐one portable electronic system is developed for monitoring of EEG, ECG, and EMG signals. The system includes a self‐designed integrated circuit and low‐impedance laser‐induced graphene on‐skin electrode sensors. Besides multimodal electrophysiological signal monitoring, human–machine interface and embedded machine learning are demonstrated using the designed sensory system, indicating its potential applications in artificial intelligence. … (more)
- Is Part Of:
- Advanced materials interfaces. Volume 10:Issue 3(2023)
- Journal:
- Advanced materials interfaces
- Issue:
- Volume 10:Issue 3(2023)
- Issue Display:
- Volume 10, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 10
- Issue:
- 3
- Issue Sort Value:
- 2023-0010-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-12-01
- Subjects:
- electrophysiological signal monitoring -- embedded machine learning -- human–machine interface -- laser‐induced graphene -- on‐skin sensors
Materials science -- Periodicals
620.11 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2196-7350 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/admi.202201735 ↗
- Languages:
- English
- ISSNs:
- 2196-7350
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.898450
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- 25641.xml