@inproceedings{e1cc1052d4dc411ab9ea59a5dfd10bcf,
title = "Within trial validation and reliability of a single tri-axial accelerometer for gait assessment",
abstract = "Gait is a sensitive biomarker of decline in both cognitive and physical function. Therefore, the collection of gait data is an important feature of clinical assessments. Accelerometer-based body worn sensors are quickly becoming the preferred tool for assessing gait because they are small, useable in a wide variety of settings, offer more continuous spatio-temporal analysis and are inexpensive when compared with traditional gait assessment methodologies. The purpose of this study was to determine the validity and within test reliability of a low cost body worn movement sensor with associated algorithms to assess gait in a large group of older and younger healthy adults. We collected gait data over intermittent walks on an instrumented walkway for a within trial validation and also used the same accelerometer derived gait data for a within test reliability analysis. ICCs for validation and reliability were >0.756 and >0.965, respectively.",
keywords = "Accelerometry/instrumentation, Adult, Aged, Algorithms, Female, Gait, Humans, Male, Middle Aged, Reproducibility of Results, Spatio-Temporal Analysis",
author = "Alan Godfrey and {Del Din}, Silvia and Gillian Barry and John Mathers and Lynn Rochester",
year = "2014",
doi = "10.1109/EMBC.2014.6944969",
language = "English",
volume = "2014",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "IEEE",
pages = "5892--5895",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
address = "United States",
note = "EMBC{\textquoteright}14 - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 26-08-2014",
}