Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis

In the work considers an algorithm for analyzing aperson's gait based on the accelerometer readings of mobiledevices. The proposed algorithm, in contrast to the previouslyknown ones, performs processing not in the frequency domain,but in the time domain, and makes it possible to estimate thedif...

Full description

Bibliographic Details
Main Authors:	Ilya Boev, Kirill Tomchuk, Andrey Turlikov
Format:	Article
Language:	English
Published:	FRUCT 2019-04-01
Series:	Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:	Scoliosis Accelerometer Algorithm
Online Access:	https://fruct.org/publications/abstract24/files/Boe.pdf

id	doaj-9b977525fdc64d5d91a5837ad55ef852
record_format	Article
spelling	doaj-9b977525fdc64d5d91a5837ad55ef8522020-11-24T21:26:39ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-0185424578583Algorithm for Monitoring the State ofthe Musculoskeletal System in ScoliosisIlya Boev0Kirill Tomchuk1Andrey Turlikov2State University of Aerospace Instrumentation, Saint-Petersburg, RussiaState University of Aerospace Instrumentation, Saint-Petersburg, RussiaState University of Aerospace Instrumentation, Saint-Petersburg, RussiaIn the work considers an algorithm for analyzing aperson's gait based on the accelerometer readings of mobiledevices. The proposed algorithm, in contrast to the previouslyknown ones, performs processing not in the frequency domain,but in the time domain, and makes it possible to estimate thedifference in the duration of the steps with the right and left legsof a person. The algorithm can be used to build a system for therehabilitation of patients with scoliosis. The following systemcomponents have been developed: data collection using a specialapplication on a mobile phone; their processing by thesubsequent algorithm.https://fruct.org/publications/abstract24/files/Boe.pdf ScoliosisAccelerometerAlgorithm
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ilya Boev Kirill Tomchuk Andrey Turlikov
spellingShingle	Ilya Boev Kirill Tomchuk Andrey Turlikov Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis Proceedings of the XXth Conference of Open Innovations Association FRUCT Scoliosis Accelerometer Algorithm
author_facet	Ilya Boev Kirill Tomchuk Andrey Turlikov
author_sort	Ilya Boev
title	Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis
title_short	Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis
title_full	Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis
title_fullStr	Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis
title_full_unstemmed	Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis
title_sort	algorithm for monitoring the state ofthe musculoskeletal system in scoliosis
publisher	FRUCT
series	Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn	2305-7254 2343-0737
publishDate	2019-04-01
description	In the work considers an algorithm for analyzing aperson's gait based on the accelerometer readings of mobiledevices. The proposed algorithm, in contrast to the previouslyknown ones, performs processing not in the frequency domain,but in the time domain, and makes it possible to estimate thedifference in the duration of the steps with the right and left legsof a person. The algorithm can be used to build a system for therehabilitation of patients with scoliosis. The following systemcomponents have been developed: data collection using a specialapplication on a mobile phone; their processing by thesubsequent algorithm.
topic	Scoliosis Accelerometer Algorithm
url	https://fruct.org/publications/abstract24/files/Boe.pdf
work_keys_str_mv	AT ilyaboev algorithmformonitoringthestateofthemusculoskeletalsysteminscoliosis AT kirilltomchuk algorithmformonitoringthestateofthemusculoskeletalsysteminscoliosis AT andreyturlikov algorithmformonitoringthestateofthemusculoskeletalsysteminscoliosis
_version_	1725978265313607680

Algorithm for Monitoring the State ofthe Musculoskeletal System in Scoliosis

Similar Items