Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework

Christopher Buckley; Riona McArdle; Brook Galna; Alan J. Thomas; Lynn Rochester; Silvia Del Din

doi:10.1109/EMBC.2019.8857250

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework

Christopher Buckley, Riona McArdle, Brook Galna, Alan J. Thomas, Lynn Rochester, Silvia Del Din

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

2 Citations (Scopus)

44 Downloads (Pure)

Abstract

Wearable technology allows an in-depth analysis of gait behaviour in free-living environments. This investigation aimed to use Alzheimer's disease as an example to apply the time series analysis technique of Statistical Parametric Mapping (SPM) to create daily gait profiles and test if they differed from cognitively intact controls. A framework of macro (habitual walking behaviours) and micro characteristics (spatiotemporal gait variables) characteristics were calculated on an hourly basis. SPM showed that select micro gait characteristics differed from controls at specific hours of the day. Therefore, the application of SPM may provide a more in-depth reflection of activity and gait time-dependent fluctuations than commonly used whole day values. Considering macro and micro gait hour-by- hour may have applications towards disease management, personalized care, monitoring medication and targeted interventions for people with a range of neurodegenerative diseases.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2482-2485
Number of pages	4
ISBN (Print)	9781538613115
DOIs	https://doi.org/10.1109/EMBC.2019.8857250
Publication status	Published - 23 Jul 2019
Externally published	Yes
Event	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 https://ieeexplore.ieee.org/xpl/conhome/8844528/proceeding

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Conference

Conference	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBC
Country/Territory	Germany
City	Berlin
Period	23/07/19 → 27/07/19
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8844528/proceeding

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10.1109/EMBC.2019.8857250

Evaluation of daily walking activity and gait profiles- a novel application of a time series analysis frameworkAccepted author manuscript, 407 KB

https://eprint.ncl.ac.uk/258547

Cite this

Buckley, C., McArdle, R., Galna, B., Thomas, A. J., Rochester, L., & Del Din, S. (2019). Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2482-2485). (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2019.8857250

Buckley, Christopher ; McArdle, Riona ; Galna, Brook et al. / Evaluation of daily walking activity and gait profiles : a novel application of a time series analysis framework. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2482-2485 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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abstract = "Wearable technology allows an in-depth analysis of gait behaviour in free-living environments. This investigation aimed to use Alzheimer's disease as an example to apply the time series analysis technique of Statistical Parametric Mapping (SPM) to create daily gait profiles and test if they differed from cognitively intact controls. A framework of macro (habitual walking behaviours) and micro characteristics (spatiotemporal gait variables) characteristics were calculated on an hourly basis. SPM showed that select micro gait characteristics differed from controls at specific hours of the day. Therefore, the application of SPM may provide a more in-depth reflection of activity and gait time-dependent fluctuations than commonly used whole day values. Considering macro and micro gait hour-by- hour may have applications towards disease management, personalized care, monitoring medication and targeted interventions for people with a range of neurodegenerative diseases.",

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Buckley, C, McArdle, R, Galna, B, Thomas, AJ, Rochester, L & Del Din, S 2019, Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 2482-2485, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 23/07/19. https://doi.org/10.1109/EMBC.2019.8857250

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. / Buckley, Christopher; McArdle, Riona; Galna, Brook et al.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc., 2019. p. 2482-2485 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

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Buckley C, McArdle R, Galna B, Thomas AJ, Rochester L, Del Din S. Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc. 2019. p. 2482-2485. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2019.8857250

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework

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