A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables

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 mo...

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Bibliographic Details
Published in:IEEE transactions on biomedical circuits and systems 2016-04, Vol.10 (2), p.280-288
Main Authors: Etemadi, Mozziyar, Inan, Omer T., Heller, J. Alex, Hersek, Sinan, Klein, Liviu, Roy, Shuvo
Format: Article
Language:English
Subjects:
Biomedical monitoring
Customized sensors
Diseases
Electric Power Supplies
Electrocardiography
Electrocardiography - instrumentation
Electrodes
Electronics
Environmental monitoring
Equipment Design
Exercise - physiology
Hemodynamics
Humans
Kinetocardiography - instrumentation
mHealth
Microcontrollers
Monitoring
Patients
Physiology
Pressure sensors
rapid prototyping
Recording
seismocardiogram
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Summary: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.
ISSN:1932-4545
1940-9990
DOI:10.1109/TBCAS.2015.2405480