TY - JOUR
T1 - A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables
AU - Etemadi, Mozziyar
AU - Inan, Omer T.
AU - Heller, J. Alex
AU - Hersek, Sinan
AU - Klein, Liviu
AU - Roy, Shuvo
N1 - Funding Information:
M. Etemadi was supported by the NIH MSTP fellowship (T32GMO7618). This work was supported by NIH/NCRR UCSF-CTSI Grant UL1 RR024131, NIH STTR Grant 1R41HL110466, FDA P50 Grant 2P50FD003793, the CIMIT 2012 Prize for Primary Healthcare Competition, and by the National Center for Advancing Translational Sciences, National Institutes of Health, through UCSF-CTSI Grant UL1 TR000004.
Publisher Copyright:
© 2015 IEEE.
PY - 2016/4
Y1 - 2016/4
N2 - We present a low power multi-modal patch designed for measuring activity, altitude (based on high-resolution barometric pressure), a single-lead electrocardiogram, and a tri-axial seismocardiogram (SCG). Enabled by a novel embedded systems design methodology, this patch offers a powerful means of monitoring the physiology for both patients with chronic cardiovascular diseases, and the general population interested in personal health and fitness measures. Specifically, to the best of our knowledge, this patch represents the first demonstration of combined activity, environmental context, and hemodynamics monitoring, all on the same hardware, capable of operating for longer than 48 hours at a time with continuous recording. The three-channels of SCG and one-lead ECG are all sampled at 500 Hz with high signal-to-noise ratio, the pressure sensor is sampled at 10 Hz, and all signals are stored to a microSD card with an average current consumption of less than 2 mA from a 3.7 V coin cell (LIR2450) battery. In addition to electronic characterization, proof-of-concept exercise recovery studies were performed with this patch, suggesting the ability to discriminate between hemodynamic and electrophysiology response to light, moderate, and heavy exercise.
AB - We present a low power multi-modal patch designed for measuring activity, altitude (based on high-resolution barometric pressure), a single-lead electrocardiogram, and a tri-axial seismocardiogram (SCG). Enabled by a novel embedded systems design methodology, this patch offers a powerful means of monitoring the physiology for both patients with chronic cardiovascular diseases, and the general population interested in personal health and fitness measures. Specifically, to the best of our knowledge, this patch represents the first demonstration of combined activity, environmental context, and hemodynamics monitoring, all on the same hardware, capable of operating for longer than 48 hours at a time with continuous recording. The three-channels of SCG and one-lead ECG are all sampled at 500 Hz with high signal-to-noise ratio, the pressure sensor is sampled at 10 Hz, and all signals are stored to a microSD card with an average current consumption of less than 2 mA from a 3.7 V coin cell (LIR2450) battery. In addition to electronic characterization, proof-of-concept exercise recovery studies were performed with this patch, suggesting the ability to discriminate between hemodynamic and electrophysiology response to light, moderate, and heavy exercise.
KW - Customized sensors
KW - mHealth
KW - rapid prototyping
KW - seismocardiogram
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U2 - 10.1109/TBCAS.2015.2405480
DO - 10.1109/TBCAS.2015.2405480
M3 - Article
C2 - 25974943
AN - SCOPUS:84929223038
SN - 1932-4545
VL - 10
SP - 280
EP - 288
JO - IEEE Transactions on Biomedical Circuits and Systems
JF - IEEE Transactions on Biomedical Circuits and Systems
IS - 2
M1 - 7105963
ER -
