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A Wearable Fitness Device System for Multiple Biological Information Data Acquisition for Physically Active Persons

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2017, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
With the increasing interest in wearable fitness devices, there is an increasing interest in monitoring techniques that can quantify a physically active person’s pulse, blood oxygen saturation level and fluid loss rate. This thesis focuses on designing and implementing several different modules that are critical to wearable fitness devices including: power management system, communication system, and sensor arrays. The approach that has been taken is putting together commercial modules and developed modules along with prototype sensors to form a device that proves the functionality concept of a next generation wearable fitness device. In the power management system, there are designed circuit to convert power from battery, USB cable and commercial inductive charging module to targeted voltages for the rest of the system. A micro-controller collects data from sensor arrays, including a developed module for pulse-OX, and a prototype sensor for sweat rate monitoring. After collection of data, the microcontroller processes the acquired data and sends them via Bluetooth to PC software or mobile application. From experiment results, it is shown that the device is able to measure the pulse and blood oxygen saturation level of a physical active person. It also has proven that the concept of using a screen-printed based chip to monitor the fluid loss rate of a physical active person. It is verified that with a combination of pulse, blood oxygen saturation level and body fluid loss monitoring, a wearable fitness device is possible. And along with the 3D printing technology and electro-chemistry technology, future development could convert this proof-of-concept prototype into a commercial device.
Fred Beyette, Ph.D. (Committee Chair)
Wen-Ben Jone, Ph.D. (Committee Member)
Carla Purdy, Ph.D. (Committee Member)
96 p.

Recommended Citations

Citations

  • Ren, X. (2017). A Wearable Fitness Device System for Multiple Biological Information Data Acquisition for Physically Active Persons [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505209479365329

    APA Style (7th edition)

  • Ren, Xiaoran. A Wearable Fitness Device System for Multiple Biological Information Data Acquisition for Physically Active Persons. 2017. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505209479365329.

    MLA Style (8th edition)

  • Ren, Xiaoran. "A Wearable Fitness Device System for Multiple Biological Information Data Acquisition for Physically Active Persons." Master's thesis, University of Cincinnati, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505209479365329

    Chicago Manual of Style (17th edition)