Toward a low-cost gait analysis system for clinical and free-living assessment

Cassim Ladha; Silvia Del Din; Kianoush Nazarpour; Aodhán Hickey; Rosie Morris; Michael Catt; Lynn Rochester; Alan Godfrey

doi:10.1109/EMBC.2016.7591086

Toward a low-cost gait analysis system for clinical and free-living assessment

Cassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhán Hickey, Rosie Morris, Michael Catt, Lynn Rochester, Alan Godfrey

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

Abstract / Description of output

Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	Institute of Electrical and Electronics Engineers
Pages	1874-1877
Number of pages	4
ISBN (Electronic)	978-1-4577-0220-4
ISBN (Print)	978-1-4577-0219-8
DOIs	https://doi.org/10.1109/EMBC.2016.7591086
Publication status	Published - 18 Oct 2016
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Florida, Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 https://embc.embs.org/2016/

Publication series

Name
Publisher	IEEE
ISSN (Print)	1557-170X
ISSN (Electronic)	1558-4615

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBC 2016
Country/Territory	United States
City	Orlando
Period	16/08/16 → 20/08/16
Internet address	https://embc.embs.org/2016/

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10.1109/EMBC.2016.7591086Licence: All Rights Reserved

https://ieeexplore.ieee.org/abstract/document/7591086Licence: All Rights Reserved

Cite this

Ladha, C., Din, S. D., Nazarpour, K., Hickey, A., Morris, R., Catt, M., Rochester, L., & Godfrey, A. (2016). Toward a low-cost gait analysis system for clinical and free-living assessment. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1874-1877). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2016.7591086

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title = "Toward a low-cost gait analysis system for clinical and free-living assessment",

abstract = "Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.",

author = "Cassim Ladha and Din, {Silvia Del} and Kianoush Nazarpour and Aodh{\'a}n Hickey and Rosie Morris and Michael Catt and Lynn Rochester and Alan Godfrey",

year = "2016",

month = oct,

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doi = "10.1109/EMBC.2016.7591086",

language = "English",

isbn = "978-1-4577-0219-8",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "1874--1877",

booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

note = "38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

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Ladha, C, Din, SD, Nazarpour, K, Hickey, A, Morris, R, Catt, M, Rochester, L & Godfrey, A 2016, Toward a low-cost gait analysis system for clinical and free-living assessment. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, pp. 1874-1877, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591086

Toward a low-cost gait analysis system for clinical and free-living assessment. / Ladha, Cassim; Din, Silvia Del; Nazarpour, Kianoush et al.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, 2016. p. 1874-1877.

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

TY - GEN

T1 - Toward a low-cost gait analysis system for clinical and free-living assessment

AU - Ladha, Cassim

AU - Din, Silvia Del

AU - Nazarpour, Kianoush

AU - Hickey, Aodhán

AU - Morris, Rosie

AU - Catt, Michael

AU - Rochester, Lynn

AU - Godfrey, Alan

PY - 2016/10/18

Y1 - 2016/10/18

N2 - Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.

AB - Gait is an important clinical assessment tool since changes in gait may reflect changes in general health. Measurement of gait is a complex process which has been restricted to bespoke clinical facilities until recently. The use of inexpensive wearable technologies is an attractive alternative and offers the potential to assess gait in any environment. In this paper we present the development of a low cost analysis gait system built using entirely open source components. The system is used to capture spatio-temporal gait characteristics derived from an existing conceptual model, sensitive to ageing and neurodegenerative pathology (e.g. Parkinson's disease). We demonstrate the system is suitable for use in a clinical unit and will lead to pragmatic use in a free-living (home) environment. The system consists of a wearable (tri-axial accelerometer and gyroscope) with a Raspberry Pi module for data storage and analysis. This forms ongoing work to develop gait as a low cost diagnostic in modern healthcare.

U2 - 10.1109/EMBC.2016.7591086

DO - 10.1109/EMBC.2016.7591086

M3 - Conference contribution

SN - 978-1-4577-0219-8

SP - 1874

EP - 1877

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - Institute of Electrical and Electronics Engineers

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 16 August 2016 through 20 August 2016

ER -

Ladha C, Din SD, Nazarpour K, Hickey A, Morris R, Catt M et al. Toward a low-cost gait analysis system for clinical and free-living assessment. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers. 2016. p. 1874-1877 Epub 2016 Aug 16. doi: 10.1109/EMBC.2016.7591086

Toward a low-cost gait analysis system for clinical and free-living assessment

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