TY - GEN
T1 - Smart and Connected Physiological Monitoring Enabled by Stretchable Bioelectronics and Deep-Learning Algorithm
AU - Mahmood, Musa
AU - Kwon, Young Tae
AU - Kim, Yun Soung
AU - Kim, Jongsu
AU - Yeo, Woon Hong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Commercially available, wearable physiological monitors rely on rigid, multiple electronic components, coupled with aggressive adhesives and conductive gels, often causing discomfort and skin breakdown. Here, we introduce an all-in-one, wireless, stretchable bioelectronics platform for portable, real-time physiological monitoring and accurate classification biopotentials, including electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG). The nanomembrane sensor and multi-layered electronic system is manufactured by integration of microfabrication techniques, aerosol jet printing of nanoparticles, photonic sintering, and hard-soft materials assembly. Strategic integration with hyperelastic elastomers allows the device to adhere and deform naturally with human body while maintaining the functionalities of the on-board electronics. Stretchable electrodes with optimized structures for intimate skin contact acquire high-quality biopotentials. Comparison of those signals with commercial systems captures the improved performance and significant noise reduction of the stretchable bioelectronics. Implementation of convolutional neural networks for real-time classifications of ECG, EMG, EEG and inertial measurement data demonstrates the feasibility for precise control of external systems. In vivo demonstrations with human subjects in various scenarios reveal the versatility of the device as both a health monitor with real-time cardiac monitoring and a viable human-machine interface.
AB - Commercially available, wearable physiological monitors rely on rigid, multiple electronic components, coupled with aggressive adhesives and conductive gels, often causing discomfort and skin breakdown. Here, we introduce an all-in-one, wireless, stretchable bioelectronics platform for portable, real-time physiological monitoring and accurate classification biopotentials, including electrocardiograms (ECG), electroencephalograms (EEG), and electromyograms (EMG). The nanomembrane sensor and multi-layered electronic system is manufactured by integration of microfabrication techniques, aerosol jet printing of nanoparticles, photonic sintering, and hard-soft materials assembly. Strategic integration with hyperelastic elastomers allows the device to adhere and deform naturally with human body while maintaining the functionalities of the on-board electronics. Stretchable electrodes with optimized structures for intimate skin contact acquire high-quality biopotentials. Comparison of those signals with commercial systems captures the improved performance and significant noise reduction of the stretchable bioelectronics. Implementation of convolutional neural networks for real-time classifications of ECG, EMG, EEG and inertial measurement data demonstrates the feasibility for precise control of external systems. In vivo demonstrations with human subjects in various scenarios reveal the versatility of the device as both a health monitor with real-time cardiac monitoring and a viable human-machine interface.
KW - Stretchable bioelectronics
KW - deep learning
KW - human-machine interfaces
KW - physiological monitoring
KW - wearable electronics
UR - http://www.scopus.com/inward/record.url?scp=85090285451&partnerID=8YFLogxK
U2 - 10.1109/ECTC32862.2020.00159
DO - 10.1109/ECTC32862.2020.00159
M3 - Conference contribution
AN - SCOPUS:85090285451
T3 - Proceedings - Electronic Components and Technology Conference
SP - 979
EP - 984
BT - Proceedings - IEEE 70th Electronic Components and Technology Conference, ECTC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 70th IEEE Electronic Components and Technology Conference, ECTC 2020
Y2 - 3 June 2020 through 30 June 2020
ER -