This is a review of health and sports monitoring research that uses or could benefit from wireless connectivity. New, enabling wireless connectivity standards are evaluated for their suitability, and an assessment of current exploitation of these technologies is summarised. An example of the application is given, highlighting the capabilities of a network of wireless sensors. Issues of timing and power consumption in a battery-powered system are addressed to highlight the benefits networking can provide, and a suggestion of how monitoring different biometric signals might allow one to gain additional information about an athlete or patient is made.
Please note: Changes made as a result of publishing processes such as copy-editing, formatting and page numbers may not be reflected in this version. For the definitive version of this publication, please refer to the published source. You are advised to consult the publisher's version if you wish to cite this paper.This version is being made available in accordance with publisher policies. See http://orca.cf.ac.uk/policies.html for usage policies. Copyright and moral rights for publications made available in ORCA are retained by the copyright holders.Sensor node acceleration signatures and electromyography in synchronisation and sequencing analysis in sports: a rowing perspective Sian Armstrong, Leonard DM Nokes AbstractFollowing a review of the key determinants of successful rowing, a wireless body sensor network (BSN) was developed to monitor boat and body segment acceleration, and surface electromyography in major muscles recruited during the rowing stroke cycle. Its design was optimised to yield maximum information about the rowing stroke cycle from fewest sensors, and minimise the power consumption of the nodes. The system was validated against the Qualisys motion capture and high speed camera system with most Pearson correlation coefficients in excess of r=0.8.On land ergometer experimentation allowed muscle recruitment over the stroke cycle to be studied, with multiple experiments combined using correlation of the acceleration signatures of back and thigh nodes (r=0.95). It was demonstrated that it was possible to identify one of the common rowing errors of "shooting-the-slide" from the data collected, and that a marked decrease in correlation of good-to-bad technique over the drive phase of the stroke (0.95 reducing to 0.34 in the experiment undertaken) could be used to indicate the presence of this error.Extension of the wireless BSN to encompass boat and two oarsmen was demonstrated, allowing correlation of their rowing signatures to be studied, indicating their cohesion as a crew.
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