All-in-One, Wireless, Stretchable Hybrid Electronics for Smart, Connected, and Ambulatory Physiological Monitoring.
Yun-Soung KimMusa MahmoodYongkuk LeeNam Kyun KimShinjae KwonRobert HerbertDonghyun KimHee Cheol ChoWoon-Hong YeoPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2019)
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.
Keyphrases
- deep learning
- convolutional neural network
- healthcare
- endothelial cells
- mental health
- soft tissue
- public health
- wound healing
- low cost
- induced pluripotent stem cells
- machine learning
- blood pressure
- primary care
- artificial intelligence
- climate change
- physical activity
- high resolution
- health information
- high throughput
- heart failure
- atrial fibrillation
- oxidative stress
- reduced graphene oxide
- resting state
- multiple sclerosis
- social media
- risk assessment
- white matter
- sensitive detection
- solar cells