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Adv Sci (Weinh). 2019 Jul 24;6(17):1900939. doi: 10.1002/advs.201900939. eCollection 2019 Sep 4.

All-in-One, Wireless, Stretchable Hybrid Electronics for Smart, Connected, and Ambulatory Physiological Monitoring.

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George W. Woodruff School of Mechanical Engineering Institute for Electronics and Nanotechnology Georgia Institute of Technology Atlanta GA 30332 USA.
Department of Biomedical Engineering Wichita State University Wichita KS 67260 USA.
Department of Pediatrics School of Medicine Emory University Atlanta GA 30322 USA.
Department of Pediatrics Yonsei University College of Medicine Seoul 03722 South Korea.
Department of Surgery Yonsei University Wonju College of Medicine Wonju Gangwon-do 220701 South Korea.
Wallace H. Coulter Department of Biomedical Engineering Parker H. Petit Institute for Bioengineering and Biosciences Georgia Institute of Technology and Emory University Atlanta GA 30332 USA.
Center for Flexible and Wearable Electronics Advanced Research Institute for Materials Neural Engineering Center Georgia Institute of Technology Atlanta GA 30332 USA.


Commercially available health monitors rely on rigid electronic housing coupled with aggressive adhesives and conductive gels, causing discomfort and inducing skin damage. Also, research-level skin-wearable devices, while excelling in some aspects, fall short as concept-only presentations due to the fundamental challenges of active wireless communication and integration as a single device platform. Here, an all-in-one, wireless, stretchable hybrid electronics with key capabilities for real-time physiological monitoring, automatic detection of signal abnormality via deep-learning, and a long-range wireless connectivity (up to 15 m) is introduced. The strategic integration of thin-film electronic layers with hyperelastic elastomers allows the overall device to adhere and deform naturally with the human body while maintaining the functionalities of the on-board electronics. The stretchable electrodes with optimized structures for intimate skin contact are capable of generating clinical-grade electrocardiograms and accurate analysis of heart and respiratory rates while the motion sensor assesses physical activities. Implementation of convolutional neural networks for real-time physiological classifications demonstrates the feasibility of multifaceted analysis with a high clinical relevance. Finally, in vivo demonstrations with animals and human subjects in various scenarios reveal the versatility of the device as both a health monitor and a viable research tool.


ambulatory cardiac monitoring; physiological signals; stretchable hybrid electronics; wearable electronics

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