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Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease

  • James Dieffenderfer
  • , Henry Goodell
  • , Steven Mills
  • , Michael McKnight
  • , Shanshan Yao
  • , Feiyan Lin
  • , Eric Beppler
  • , Brinnae Bent
  • , Bongmook Lee
  • , Veena Misra
  • , Yong Zhu
  • , Omer Oralkan
  • , Jason Strohmaier
  • , John Muth
  • , David Peden
  • , Alper Bozkurt
  • North Carolina State University
  • University of North Carolina at Chapel Hill

Research output: Contribution to journalArticlepeer-review

208 Scopus citations

Abstract

We present our efforts toward enabling a wearable sensor system that allows for the correlation of individual environmental exposures with physiologic and subsequent adverse health responses. This system will permit a better understanding of the impact of increased ozone levels and other pollutants on chronic asthma conditions. We discuss the inefficiency of existing commercial off-the-shelf components to achieve continuous monitoring and our system-level and nano-enabled efforts toward improving the wearability and power consumption. Our system consists of a wristband, a chest patch, and a handheld spirometer. We describe our preliminary efforts to achieve a submilliwatt system ultimately powered by the energy harvested from thermal radiation and motion of the body with the primary contributions being an ultralow-power ozone sensor, an volatile organic compounds sensor, spirometer, and the integration of these and other sensors in a multimodal sensing platform. The measured environmental parameters include ambient ozone concentration, temperature, and relative humidity. Our array of sensors also assesses heart rate via photoplethysmography and electrocardiography, respiratory rate via photoplethysmography, skin impedance, three-axis acceleration, wheezing via a microphone, and expiratory airflow. The sensors on the wristband, chest patch, and spirometer consume 0.83, 0.96, and 0.01 mW, respectively. The data from each sensor are continually streamed to a peripheral data aggregation device and are subsequently transferred to a dedicated server for cloud storage. Future work includes reducing the power consumption of the system-on-chip including radio to reduce the entirety of each described system in the submilliwatt range.

Original languageEnglish
Article number7479442
Pages (from-to)1251-1264
Number of pages14
JournalIEEE Journal of Biomedical and Health Informatics
Volume20
Issue number5
DOIs
StatePublished - Sep 2016

Keywords

  • Environmental and physiological sensing
  • wearable asthma monitoring

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