ArticleSensors (Basel, Switzerland)2020
Gait Variability Using Waist- and Ankle-Worn Inertial Measurement Units in Healthy Older Adults.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- IMU-based gait analysis methods: a systematic review of techniques for different body locations.Frontiers in sports and active living · 2026Review
- Dual-scale assessment of motor dysfunction in older adults with locomotor dysfunction and its association with gait and muscle activation.Frontiers in aging neuroscience · 2026Article
- A study on gait and muscle activation characteristics of persons with incomplete spinal cord injury with respect to age stratification.Frontiers in bioengineering and biotechnology · 2026Article
- Validity and Reliability of a Smartphone-Based Gait Assessment in Measuring Temporal Gait Parameters: Challenges and Recommendations.Biosensors · 2025Article
- Validity and reliability of inertial measurement units on gait, static balance and functional mobility performance among community-dwelling older adults: a systematic review and meta-analysis.EFORT open reviews · 2025Article
- Absolute and Relative Reliability of Spatiotemporal Gait Characteristics Extracted from an Inertial Measurement Unit among Senior Adults Using a Passive Hip Exoskeleton: A Test-Retest Study.Sensors (Basel, Switzerland) · 2024Article
- The Agreement between Wearable Sensors and Force Plates for the Analysis of Stride Time Variability.Sensors (Basel, Switzerland) · 2024Article
- The correlation of gait and muscle activation characteristics with locomotion dysfunction grade in elderly individuals.Frontiers in bioengineering and biotechnology · 2024Article
- Indirect Recognition of Predefined Human Activities.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
Gait variability observed in step duration is predictive of impending adverse health outcomes among apparently healthy older adults and could potentially be evaluated using wearable sensors (inertial measurement units, IMU). The purpose of the present study was to establish the reliability and concurrent validity of gait variability and complexity evaluated with a waist and an ankle-worn IMU. Seventeen women (age 74.8 (SD 44) years) and 10 men (73.7 (4.1) years) attended two laboratory measurement sessions a week apart. Their stride duration variability was concurrently evaluated based on a continuous 3 min walk using a force plate and a waist- and an ankle-worn IMU. Their gait complexity (multiscale sample entropy) was evaluated from the waist-worn IMU. The force plate indicated excellent stride duration variability reliability (intra-class correlation coefficient, ICC = 0.90), whereas fair to good reliability (ICC = 0.47 to 0.66) was observed from the IMUs. The IMUs exhibited poor to excellent concurrent validity in stride duration variability compared to the force plate (ICC = 0.22 to 0.93). A good to excellent reliability was observed for gait complexity in most coarseness scales (ICC = 0.60 to 0.82). A reasonable congruence with the force plate-measured stride duration variability was observed on many coarseness scales (correlation coefficient = 0.38 to 0.83). In conclusion, waist-worn IMU entropy estimates may provide a feasible indicator of gait variability among community-dwelling ambulatory older adults.
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