Accelerometer-based gait assessment: Pragmatic deployment on an international scale

Silvia Del Din, Aodhan Hickey, Simon Woodman, Hugo Hiden, Rosie Morris, Paul Watson, Kianoush Nazarpour, Michael Catt, Lynn Rochester, Alan Godfrey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Citations (Scopus)
18 Downloads (Pure)


Gait is emerging as a powerful tool to detect early disease and monitor progression across a number of pathologies. Typically quantitative gait assessment has been limited to specialised laboratory facilities. However, measuring gait in home and community settings may provide a more accurate reflection of gait performance because: (1) it will not be confounded by attention which may be heightened during formal testing; and (2) it allows performance to be captured over time. This work addresses the feasibility and challenges of measuring gait characteristics with a single accelerometer based wearable device during free-living activity. Moreover, it describes the current methodological and statistical processes required to quantify those sensitive surrogate markers for ageing and pathology. A unified framework for large scale analysis is proposed. We present data and workflows from healthy older adults and those with Parkinson's disease (PD) while presenting current algorithms and scope within modern pervasive healthcare. Our findings suggested that free-living conditions heighten between group differences showing greater sensitivity to PD, and provided encouraging results to support the use of the suggested framework for large clinical application.

Original languageEnglish
Title of host publication2016 IEEE Statistical Signal Processing Workshop (SSP): Palma de Mallorca, Spain 26-29 June 2016
Place of PublicationPiscataway, NJ
ISBN (Electronic)9781467378024
Publication statusPublished - 25 Aug 2016
Externally publishedYes
Event19th IEEE Statistical Signal Processing Workshop, SSP 2016 - Palma de Mallorca, Spain
Duration: 25 Jun 201629 Jun 2016


Conference19th IEEE Statistical Signal Processing Workshop, SSP 2016
CityPalma de Mallorca


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