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2021 | OriginalPaper | Chapter

Detecting of Minimal Changes in Physical Activity Using One Accelerometer Sensor

Authors : Pawel Mielnik, Marcin Fojcik, Krzysztof Tokarz, Zuzanna Rodak, Bjarte Pollen

Published in: Advances in Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

This paper presents experiments using IoT systems for chronic arthritis patients monitoring using an inexpensive and convenient wristband, avoiding expensive medical equipment. The main goal is to see if it is possible to distinguish between different types of patient behavior while performing very similar exercises. The data from the wristband were collected through a communication system and statistically analyzed. The comparison of the obtained results allows for reliable, reproducible, and accurate decoding of individual cases. The publication describes the various steps in the data collection and analysis and gives the results in the form of receiver operating characteristic curves for all measured features and a comparison of performed and detected exercises.

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Metadata
Title
Detecting of Minimal Changes in Physical Activity Using One Accelerometer Sensor
Authors
Pawel Mielnik
Marcin Fojcik
Krzysztof Tokarz
Zuzanna Rodak
Bjarte Pollen
Copyright Year
2021
Book
Advances in Computational Collective Intelligence

Print ISBN: 978-3-030-88112-2

Electronic ISBN: 978-3-030-88113-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-88113-9_40

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