F61 Validation of a gait event detection algorithm during overground walking in Huntington's disease

Lozano-García, Manuel, Doheny, Emer, Mann, Elliot, Drew, Cheney ORCID: https://orcid.org/0000-0002-4397-6252, Busse, Monica ORCID: https://orcid.org/0000-0002-5331-5909 and Lowery, Madeleine 2022. F61 Validation of a gait event detection algorithm during overground walking in Huntington's disease. Presented at: EHDN 2022 Plenary Meeting, Bologna, Italy, 16-18 September 2022. Journal of Neurology, Neurosurgery and Psychiatry. , vol.93 BMJ Publishing Group, 10.1136/jnnp-2022-ehdn.152

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Abstract

Background Objective evaluation of gait impairment in Huntington’s Disease (HD) is challenging both in clinical trials and clinical practice. Algorithms, such as Teager-Kaiser Gait Event Detection (TKGED), enable detection of initial (IC) and terminal (TC) contact, using accelerometers on the shanks [1]. TKGED has not been validated in HD despite known accuracy in healthy individuals. Aim To assess the performance of TKGED using shank and thigh acceleration signals in participants with HD. Methods Seventeen participants performed two 2-minute walking tests, wearing accelerometers on shanks (ActiGraph GTX9, 100Hz) and thighs (ActivPAL4, 40Hz). Video data were recorded as the criterion measure. To obtain IC and TC points, video data were manually annotated and TKGED was applied to accelerometer signals. Step counts and stride, stance and swing times were estimated for each sensor. Intraclass correlation coefficients (ICC) determined agreement between video and accelerometer step counts. Step count differences were assessed using coefficients of variation (CV) and signed rank tests. Kruskal-Wallis tests assessed differences between video and accelerometer stride, stance and swing times. Results Excellent agreement was observed for step counts between video and both shank (ICC=0.97, CV=4.0%, p=0.21) and thigh (ICC=0.94, CV=5.3%, p=0.23) accelerometers (Figure 1). Compared with video annotation, TKGED tended to underestimate stance time and overestimate swing time (p<0.001), but yielded accurate estimates of stride time (p=0.28).

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Medicine Centre for Trials Research (CNTRR)
Additional Information:	Conference Abstract
Publisher:	BMJ Publishing Group
ISSN:	0022-3050
Last Modified:	20 Jun 2023 14:19
URI:	https://orca.cardiff.ac.uk/id/eprint/159391

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