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Updated: Nov 19, 2025
Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
Reliability of inertial sensor based spatiotemporal gait parameters for short walking bouts in community dwelling
Lilian Genaro Motti Ader1, Barry R Greene2, Killian McManus3
1CeADAR - Centre for Applied Data Analytics, NexusUCD, Block 9/10 Belfield Office Park, Clonskeagh, Dublin, D04 V2N9, Ireland; Kinesis Health Technologies Ltd., NexusUCD, Block 9/10 Belfield Office Park, Clonskeagh, Dublin, D04 V2N9, Ireland; School of Public Health, Physiotherapy and Sports Science, University College Dublin, Belfield, Dublin, D04, Ireland.
Background:
When performing quantitative analysis of gait in older adults we need to strike a balance between capturing sufficient data for reliable measurement and avoiding issues such as fatigue. The optimal bout duration is that which contains sufficient gait cycles to enable a reliable and representative estimate of gait performance.
Research Question:
How does the number of gait cycles in a walking bout influence reliability of spatiotemporal gait parameters measured using body-worn inertial sensors in a cohort of community dwelling older adults?
Methods:
One hundred and fifteen (115) community dwelling older adults executed three 30-metre walk trials in a single measurement session. Bilateral gait data were collected using two inertial sensors attached to each participant's right and left shank, and gait events detected from the medio-lateral angular velocity signal. The number of gait cycles selected from each walking trial was varied from 3 to 16. Intraclass correlation coefficients (ICC(2,k)) were calculated to evaluate the reliability of each spatiotemporal gait parameter according to the number of gait cycles included in the analysis.
Results:
The specified algorithm and the clipping procedure for extracting short bouts of gait data seem appropriate for assessing older adults, providing reliable spatiotemporal measures from three gait cycles (three strides per leg) and good reliability for most parameters describing gait variability and gait asymmetry after six gait cycles (six strides per leg).
Significance:
A combination of using bilateral sensor data and adaptive thresholds for gait event detection enable reliable measures of spatiotemporal gait parameters over short walking bouts (minimum six gait cycles) in community dwelling older adults. This opens new possibilities in the use of wearable sensors in gait assessment based on short walking tasks. We recommend the number of gait cycles should be reported along with the calculated measures as reference values.
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