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Bridging the Bio-Electronic Interface with Biofabrication
Published on: June 6, 2012
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All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal
Young-Tae Kwon1, Yun-Soung Kim1, Shinjae Kwon1
1George W. Woodruff School of Mechanical Engineering, Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Nature Communications
|July 12, 2020
Summary
We developed a new additive nanomanufacturing method for flexible electronics using advanced graphene. This technology enables wireless, multilayered systems with high-fidelity muscle activity recording for advanced human-machine interfaces.
Area of Science:
- Materials Science
- Nanotechnology
- Electronics Engineering
Background:
- Flexible wearable electronics are advancing due to nanomaterials and nano-microfabrication.
- Current manufacturing relies on complex, costly, multi-step cleanroom processes.
- A need exists for simplified, scalable, and cost-effective manufacturing methods.
Purpose of the Study:
- To introduce a novel additive nanomanufacturing technique for flexible hybrid electronics.
- To demonstrate a wireless, multilayered, and seamlessly interconnected electronic system.
- To showcase the potential of printed electronics with machine learning for human-machine interfaces.
Main Methods:
- Utilized a new class of additive nanomanufacturing for functional materials.
- Employed functionalized conductive graphene with enhanced biocompatibility, anti-oxidation, and solderability.
- Integrated machine learning algorithms with printed electronics for signal processing and control.
Main Results:
- Developed a wireless, flexible hybrid electronic system manufactured via additive nanomanufacturing.
- Achieved gel-free, high-fidelity muscle activity recording using high-aspect ratio graphene.
- Demonstrated real-time control of external systems via electromyograms (EMGs) with high accuracy.
- Optimized a three-channel system using deep learning for finger motion capture with ~99% accuracy across seven classes.
Conclusions:
- Additive nanomanufacturing offers a versatile and efficient approach to creating advanced flexible electronics.
- Functionalized graphene is a key material for high-performance, biocompatible, and wireless flexible circuits.
- The integration of machine learning enhances the capabilities of printed electronics for sophisticated human-machine interactions.
