@inproceedings{d09afbf8cd7447bf9c780165ae00a262,
title = "Determination of the number and frequency of the steps for gait with elbow crutches based on a crutch acceleration",
abstract = "Gait is one of the basic and most important forms of human locomotion. Gait can be described by parameters such as: speed, step length, stepping rate, ground reaction force values. One way to determine these parameters is analysis of acceleration of selected body segments. There are not many algorithms in the literature that could be used to analyze gait with the elbow crutches. Accordingly, an algorithm should be developed to determine, for example, the frequency and number of steps based on the crutch acceleration. In the following study, signal from IMU sensor located on elbow crutch was used to determine the parameters. The algorithm based on double filtration of recorded acceleration and peak detections from obtained signal. Results were compared and correlated with MVN Biomech motion capture system (high accuracy system). The discussion chapter considers uncertainty of the measuring methodology and the possibilities of using the designed system.",
keywords = "Acceleration, Crutches, Human gait, Number of step determination",
author = "Magdalena D{\l}ugosz and Piotr Wodarski and Andrzej Bieniek and Mi{\l}osz Chrzan and Marek Gzik and Kamil Joszko and Jaros{\l}aw Derejczyk",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; Conference on Innovations in Biomedical Engineering, IBE 2017 ; Conference date: 19-10-2017 Through 20-10-2017",
year = "2018",
doi = "10.1007/978-3-319-70063-2\_26",
language = "English",
isbn = "9783319700625",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "245--253",
editor = "Marek Gzik and Zbigniew Paszenda and Ewaryst Tkacz and Ewa Pietka",
booktitle = "Innovations in Biomedical Engineering",
address = "Germany",
}