TY - JOUR
T1 - A gold nanowire-integrated soft wearable system for dynamic continuous non-invasive cardiac monitoring
AU - Gong, Shu
AU - Yap, Lim Wei
AU - Zhang, Yuxin
AU - He, Jinyuan
AU - Yin, Jialiang
AU - Marzbanrad, Faezeh
AU - Kaye, David M.
AU - Cheng, Wenlong
N1 - Funding Information:
This research was financially supported under Discovery Projects scheme ( DP180101715 and DP210101045 ), Linkage Projects scheme ( LP160100521 ) and Jack Brockhoff foundation (JBF Grant number 4659-2019 ). This work was performed in part at the Melbourne Centre for Nanofabrication (MCN) in the Victorian Node of the Australian National Fabrication Facility (ANFF).
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Blood pressure (BP) is a cardiovascular parameter which exhibits significant variability. Whilst continuous BP monitoring would be of significant clinical utility. This is particularly challenging outside the hospital environment. New wearable cuff-based and cuffless BP monitoring technologies provide some capacity, however they have a number of limitations including bulkiness, rigidity and discomfort, poor accuracy and motion artefact. Here, we report on a lightweight, user-friendly, non-invasive wearable cardiac sensing system based on deformation-insensitive conductive gold nanowire foam (G-foam) and pressure-sensitive resistive gold nanowire electronic skin (G-skin). The G-foam could serve as a new soft dry bioelectrode for electrocardiogram (ECG) monitoring; a new soft button-based G-skin design could avoid manual holding for continuous pulse recording. They could be integrated seamlessly with everyday bandage for facile wireless recording of ECG and artery pulses under real-word dynamic environments including walking, running, deep squatting, and jogging. Further machine learning algorithm was developed for estimation of systolic and diastolic BP, showing comparable accuracy to commercial cuff-based sphygmomanometer. The measured dynamic BP changes correlated well with the volunteer's daily activities, indicating the potential applications of our soft wearable systems for real-time diagnostics of cardiovascular functions in complex dynamic real-world setting.
AB - Blood pressure (BP) is a cardiovascular parameter which exhibits significant variability. Whilst continuous BP monitoring would be of significant clinical utility. This is particularly challenging outside the hospital environment. New wearable cuff-based and cuffless BP monitoring technologies provide some capacity, however they have a number of limitations including bulkiness, rigidity and discomfort, poor accuracy and motion artefact. Here, we report on a lightweight, user-friendly, non-invasive wearable cardiac sensing system based on deformation-insensitive conductive gold nanowire foam (G-foam) and pressure-sensitive resistive gold nanowire electronic skin (G-skin). The G-foam could serve as a new soft dry bioelectrode for electrocardiogram (ECG) monitoring; a new soft button-based G-skin design could avoid manual holding for continuous pulse recording. They could be integrated seamlessly with everyday bandage for facile wireless recording of ECG and artery pulses under real-word dynamic environments including walking, running, deep squatting, and jogging. Further machine learning algorithm was developed for estimation of systolic and diastolic BP, showing comparable accuracy to commercial cuff-based sphygmomanometer. The measured dynamic BP changes correlated well with the volunteer's daily activities, indicating the potential applications of our soft wearable systems for real-time diagnostics of cardiovascular functions in complex dynamic real-world setting.
KW - Artery pulse monitoring
KW - Cardiovascular diagnostics
KW - E-skin
KW - Electrocardiogram monitoring
KW - Gold nanowire
UR - http://www.scopus.com/inward/record.url?scp=85124875302&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2022.114072
DO - 10.1016/j.bios.2022.114072
M3 - Article
C2 - 35192998
AN - SCOPUS:85124875302
SN - 0956-5663
VL - 205
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
M1 - 114072
ER -