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    Web-based Sensor Streaming Wearable for Respiratory Monitoring Applications


    Carlos, Rovira and Coyle, Shirley and Corcoran, Brian and Diamond, Dermot and McCoy, Aaron and Stroiescu, Florin and Daly, Kieran and Ward, Tomas E. (2011) Web-based Sensor Streaming Wearable for Respiratory Monitoring Applications. In: IEEE Sensor 2011, 28 - 30 October 2011, Limerick, Ireland.

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    Abstract

    This paper presents a system for remote monitoring of respiration of individuals that can detect respiration rate, mode of breathing and identify coughing events. It comprises a series of polymer fabric-sensors incorporated into a sports vest, a wearable data acquisition platform and a novel rich internet application (RIA) which together enable remote real-time monitoring of untethered wearable systems for respiratory rehabilitation. This system will, for the first time, allow therapists to monitor and guide the respiratory efforts of patients in real-time through a web browser. Changes in abdomen expansion and contraction associated with respiration are detected by the fabric sensors and transmitted wirelessly via a Bluetooth-based solution to a standard computer. The respiratory signals are visualized locally through the RIA and subsequently published to a sensor streaming cloud-based server. A web-based signal streaming protocol makes the signals available as real-time streams to authorized subscribers over standard browsers. We demonstrate real-time streaming of a six-sensor shirt rendered remotely at 40 samples/s per sensor with perceptually acceptable latency (<0.5s) over realistic network conditions.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Biomedical monitoring; Browsers; Internet; Monitoring; Real time systems; Servers; Wireless sensor networks;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 3653
    Depositing User: Dr Tomas Ward
    Date Deposited: 09 May 2012 08:48
    Refereed: Yes
    Funders: IRCSET, Science Foundation Ireland, CLARITY Centre for Sensor Web Technologies, grant no. 07/CE/I1147
    URI:

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