• DocumentCode
    3672656
  • Title

    Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality

  • Author

    Nicholas Constant;Orrett Douglas-Prawl;Samuel Johnson;Kunal Mankodiya

  • Author_Institution
    Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The concurrent popularity of wearable sensors and Internet-of-Things (IoT) brings significant benefits to body sensor networks (BSN) that could communicate with the cloud computing platforms for bringing interoperability in health and wellness monitoring. We designed Pulse-Glasses that are cloud-connected, wearable, smart eyeglasses for unobtrusive and continuous heart rate (HR) monitoring. We 3D-printed the first prototype of Pulse-Glasses that use a photoplethysmography (PPG) sensor on one of the nose-pads to collect HR data. We integrated other circuits including an embedded board with Bluetooth low energy (BLE) and a rechargeable battery inside the two temples of Pulse-Glasses. We implemented IoT functionalities such that HR data are recorded from Pulse-Glasses, visualized on an Android smartphone, and stored seamlessly on the cloud. In this paper, we present the developments of Pulse-Glasses hardware including IoT services and the preliminary results from validation experiments. We compared Pulse-Glasses with a laboratory ECG system to cross-validate HR data collected during various activities-sitting, talking, and walking-performed by a participant. We used Pulse-Glasses to record HR data of a driver to test IoT functionalities of location services and BLE and cloud connectivity. The first set of results is promising and demonstrates the prospect of Pulse-Glasses in the field of cloud-connected BSN.
  • Keywords
    "Heart rate","Monitoring","Biomedical monitoring","Electrocardiography","Glass","Bluetooth","Smart phones"
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/BSN.2015.7299350
  • Filename
    7299350