Extracting gait parameters from raw electronic walkway data

André Dias; Lukas Gorzelniak; Angela Döring; Gunnar Hartvigsen; Alexander Horsch

doi:10.3233/978-1-60750-806-9-445

Extracting gait parameters from raw electronic walkway data

André Dias
, Lukas Gorzelniak
, Angela Döring
, Gunnar Hartvigsen
, Alexander Horsch

Informatics 13 - Chair of Decentralized Information Systems and Data Management

University Hospital of North Norway
Technical University of Munich
Helmholtz Zentrum München German Research Center for Environmental Health
UIT The Arctic University of Norway

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Spatiotemporal gait parameters are very important for the detection of gait impairments and associated conditions. Current methods to measure such parameters, e.g. electronic walkways or force plates, are costly and can only be used in a laboratory. The new generation of raw data accelerometers might be a cheap and flexible alternative. We conducted a small feasibility study with 50 subjects from the KORA-Age project exploring the output of GAITRite and Actigraph GT3X. We open-sourced a package to extract and process raw data from GAITRite. The most promising location for the accelerometer seems to be at the ankle. The use of accelerometers showed to be simple and reliable, indicating that they can be used in daily life to extract gait parameters.

Original language	English
Title of host publication	User Centred Networked Health Care - Proceedings of MIE 2011
Publisher	IOS Press
Pages	445-449
Number of pages	5
ISBN (Print)	9781607508052
DOIs	https://doi.org/10.3233/978-1-60750-806-9-445
State	Published - 2011
Event	23rd International Conference of the European Federation for Medical Informatics, MIE 2011 - Oslo, Norway Duration: 28 Aug 2011 → 31 Aug 2011

Publication series

Name	Studies in Health Technology and Informatics
Volume	169
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	23rd International Conference of the European Federation for Medical Informatics, MIE 2011
Country/Territory	Norway
City	Oslo
Period	28/08/11 → 31/08/11

Keywords

Actigraph GT3X
GAITRite
Gait parameters
Open source

Access to Document

10.3233/978-1-60750-806-9-445

Cite this

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title = "Extracting gait parameters from raw electronic walkway data",

abstract = "Spatiotemporal gait parameters are very important for the detection of gait impairments and associated conditions. Current methods to measure such parameters, e.g. electronic walkways or force plates, are costly and can only be used in a laboratory. The new generation of raw data accelerometers might be a cheap and flexible alternative. We conducted a small feasibility study with 50 subjects from the KORA-Age project exploring the output of GAITRite and Actigraph GT3X. We open-sourced a package to extract and process raw data from GAITRite. The most promising location for the accelerometer seems to be at the ankle. The use of accelerometers showed to be simple and reliable, indicating that they can be used in daily life to extract gait parameters.",

keywords = "Actigraph GT3X, GAITRite, Gait parameters, Open source",

author = "Andr{\'e} Dias and Lukas Gorzelniak and Angela D{\"o}ring and Gunnar Hartvigsen and Alexander Horsch",

year = "2011",

doi = "10.3233/978-1-60750-806-9-445",

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pages = "445--449",

booktitle = "User Centred Networked Health Care - Proceedings of MIE 2011",

note = "23rd International Conference of the European Federation for Medical Informatics, MIE 2011 ; Conference date: 28-08-2011 Through 31-08-2011",

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Dias, A, Gorzelniak, L, Döring, A, Hartvigsen, G & Horsch, A 2011, Extracting gait parameters from raw electronic walkway data. in User Centred Networked Health Care - Proceedings of MIE 2011. Studies in Health Technology and Informatics, vol. 169, IOS Press, pp. 445-449, 23rd International Conference of the European Federation for Medical Informatics, MIE 2011, Oslo, Norway, 28/08/11. https://doi.org/10.3233/978-1-60750-806-9-445

Extracting gait parameters from raw electronic walkway data. / Dias, André; Gorzelniak, Lukas; Döring, Angela et al.
User Centred Networked Health Care - Proceedings of MIE 2011. IOS Press, 2011. p. 445-449 (Studies in Health Technology and Informatics; Vol. 169).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extracting gait parameters from raw electronic walkway data

AU - Dias, André

AU - Gorzelniak, Lukas

AU - Döring, Angela

AU - Hartvigsen, Gunnar

AU - Horsch, Alexander

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Y1 - 2011

N2 - Spatiotemporal gait parameters are very important for the detection of gait impairments and associated conditions. Current methods to measure such parameters, e.g. electronic walkways or force plates, are costly and can only be used in a laboratory. The new generation of raw data accelerometers might be a cheap and flexible alternative. We conducted a small feasibility study with 50 subjects from the KORA-Age project exploring the output of GAITRite and Actigraph GT3X. We open-sourced a package to extract and process raw data from GAITRite. The most promising location for the accelerometer seems to be at the ankle. The use of accelerometers showed to be simple and reliable, indicating that they can be used in daily life to extract gait parameters.

AB - Spatiotemporal gait parameters are very important for the detection of gait impairments and associated conditions. Current methods to measure such parameters, e.g. electronic walkways or force plates, are costly and can only be used in a laboratory. The new generation of raw data accelerometers might be a cheap and flexible alternative. We conducted a small feasibility study with 50 subjects from the KORA-Age project exploring the output of GAITRite and Actigraph GT3X. We open-sourced a package to extract and process raw data from GAITRite. The most promising location for the accelerometer seems to be at the ankle. The use of accelerometers showed to be simple and reliable, indicating that they can be used in daily life to extract gait parameters.

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BT - User Centred Networked Health Care - Proceedings of MIE 2011

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ER -

Extracting gait parameters from raw electronic walkway data

Abstract

Publication series

Conference

Keywords

Access to Document

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