Gait Analysis under Spatial Navigation Task in Elderly People-A Pilot Study

• Published in: Sensors (Basel, Switzerland) Switzerland), 2021-01, Vol.21 (1), p.270
• Main Authors: Pawlaczyk, Natalia, Szmytke, Magdalena, Meina, Michał, Lewandowska, Monika, Stępniak, Justyna, Bałaj, Bibianna, Dreszer, Joanna
• Format: Article
• Language: English
• Subjects: Age; Aged; Aging; Aging (natural); Brief Report; Cognition; Cognition & reasoning; dual-task; Executive function; Female; Gait; Gait Analysis; Gait recognition; Humans; Indicators; Kopernik, Mikolaj (Nicolaus Copernicus) (1473-1543); Memory; Middle Aged; Older people; Pilot Projects; Spatial Navigation; Velocity; Virtual reality; Walking; Womens health; Young Adult; Young adults
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21010270

A decline in the Spatial Navigation (SN) abilities has been observed in the course of healthy aging. Walking is an inseparable part of the navigation process; however, research tasks overlook this aspect in studies involving seniors. The present study was designed to overcome this limitation by recording gait parameters during natural environment navigation and to determine gait indicators that most accurately assign the participants to the proper age category. Thirteen elderly (mean age = 69.1 ± 5.4 year) and sixteen young women (mean age = 21.5 ± 2.2 year) equipped with gait sensors were asked to learn a path while walking in a real building (Learning Phase), reproduce the path (Memory Phase) and reach targets after a 30 min delay (Delayed Phase). The Receiver Operating Characteristics (ROC) analysis showed that our self-developed Gait Style Change indicator, that is, the difference in the probability of feet landing between particular SN task phases, classified the participants into either the elderly or the young group with the highest accuracy (0.91). The second most important indicator, the Task-Related (step counts in each SN task phase), achieved the accuracy discrimination of 0.83. The gait indicators, comprising single gait parameters measured while navigating, might be considered as accurately differentiating older from younger people.