May GC, Doherty AR, Smeaton AF, Warrington GD. Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling.
SENSORS 2010;
10:7216-35. [PMID:
22163600 PMCID:
PMC3231179 DOI:
10.3390/s100807216]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2010] [Revised: 07/10/2010] [Accepted: 07/20/2010] [Indexed: 11/16/2022]
Abstract
The sporting domain has traditionally been used as a testing ground for new technologies which subsequently make their way into the public domain. This includes sensors. In this article a range of physical and biological sensors deployed in a 64 hour ultra-endurance non-stop cycling race are described. A novel algorithm to estimate the energy expenditure while cycling and resting during the event are outlined. Initial analysis in this noisy domain of “sensors in the field” are very encouraging and represent a first with respect to cycling.
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