A real-time wireless sweat rate measurement system for physical activity monitoring

Andrew Brueck, Tashfin Iftekhar, Alicja B. Stannard, Kumar Yelamarthi, Tolga Kaya*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

Abstract

There has been significant research on the physiology of sweat in the past decade, with one of the main interests being the development of a real-time hydration monitor that utilizes sweat. The contents of sweat have been known for decades; sweat provides significant information on the physiological condition of the human body. However, it is important to know the sweat rate as well, as sweat rate alters the concentration of the sweat constituents, and ultimately affects the accuracy of hydration detection. Towards this goal, a calorimetric based flow-rate detection system was built and tested to determine sweat rate in real time. The proposed sweat rate monitoring system has been validated through both controlled lab experiments (syringe pump) and human trials. An Internet of Things (IoT) platform was embedded, with the sensor using a Simblee board and Raspberry Pi. The overall prototype is capable of sending sweat rate information in real time to either a smartphone or directly to the cloud. Based on a proven theoretical concept, our overall system implementation features a pioneer device that can truly measure the rate of sweat in real time, which was tested and validated on human subjects. Our realization of the real-time sweat rate watch is capable of detecting sweat rates as low as 0.15 µL/min/cm2, with an average error in accuracy of 18% compared to manual sweat rate readings.

Original languageEnglish
Article number533
JournalSensors
Volume18
Issue number2
DOIs
Publication statusPublished - 10 Feb 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.

Funding

Acknowledgments: This work was funded in part by the National Science Foundation under Grant #1542368. Zach Nelson helped with 3d designs and prints.

FundersFunder number
National Science Foundation1542368

    Keywords

    • Dehydration
    • IoT
    • PDMS
    • Sweat rate
    • Sweat sensor

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