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    Non-invasive anaerobic threshold measurement using fuzzy model interpolation


    Ringwood, John, O'Neill, J., Tallon, P., Fleming, N. and Donne, B. (2014) Non-invasive anaerobic threshold measurement using fuzzy model interpolation. Proceedings of the IEEE Conference on Control Applications.

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    Abstract

    The interface between skeletal muscle activation through aerobic and anaerobic glycolysis is of key interest to sportspeople and athletes who participate in medium to long distance sports, such as middle- and long-distance running, cycling, swimming, rowing, kayaking and a variety of other events. To date, the gold standard for measuring anaerobic threshold (AT) is a structured test to exhaustion where blood lactate concentration is measured at regular intervals. However, the need for invasive testing, requiring trained personnel and specialist equipment, limits the availability of such tests. This paper proposes a non-invasive AT measurement method, which validates well against AT measured using lactate analysis. In addition, the proposed test has a relatively loose set of requirements on the exercise test protocol required and just requires a measure of exercise intensity and heart-rate. While the test is applicable to a range of sports, usage is demonstrated in this paper for a set of cyclists, using velocity as a measure of exercise intensity.
    Item Type: Article
    Keywords: Non-invasive anaerobic threshold measurement; fuzzy model interpolation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 6784
    Depositing User: Professor John Ringwood
    Date Deposited: 13 Jan 2016 15:44
    Journal or Publication Title: Proceedings of the IEEE Conference on Control Applications
    Publisher: IEEE
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/6784
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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