Validity of gait parameters of healthy young adults using a motion-sensor-based gait analysis system (ORPHE ANALYTICS) during walking and running

Uno, Yuki; Ogasawara, Issei; Konda, Shoji; Yoshida, Natsuki; Tsujii, Akira; Nakata, Ken

doi:10.1101/2022.10.17.22281166

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Additionally, reflective markers (16 mm) were placed on the head of the second metatarsal bone on both right and left foot ( Figure 1 ). Both, the camera system, and the inertial mobile sensor system were synchronized manually by a quick stamp on the ground similar to Uno et al ( 29 ) who used a vertical jump at the beginning of each trial. The measurements, including the placement of the markers and inertial sensors, have been performed by the same researchers, ensuring conformity.…”

Section: Methodsmentioning

confidence: 99%

Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis

et al. 2023

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BackgroundGait variability in people with multiple sclerosis (PwMS) reflects disease progression or may be used to evaluate treatment response. To date, marker-based camera systems are considered as gold standard to analyze gait impairment in PwMS. These systems might provide reliable data but are limited to a restricted laboratory setting and require knowledge, time, and cost to correctly interpret gait parameters. Inertial mobile sensors might be a user-friendly, environment- and examiner-independent alternative. The purpose of this study was to evaluate the validity of an inertial sensor-based gait analysis system in PwMS compared to a marker-based camera system.MethodsA sample N = 39 PwMS and N = 19 healthy participants were requested to repeatedly walk a defined distance at three different self-selected walking speeds (normal, fast, slow). To measure spatio-temporal gait parameters (i.e., walking speed, stride time, stride length, the duration of the stance and swing phase as well as max toe clearance), an inertial sensor system as well as a marker-based camera system were used simultaneously.ResultsAll gait parameters highly correlated between both systems (r > 0.84) with low errors. No bias was detected for stride time. Stance time was marginally overestimated (bias = −0.02 ± 0.03 s) and gait speed (bias = 0.03 ± 0.05 m/s), swing time (bias = 0.02 ± 0.02 s), stride length (0.04 ± 0.06 m), and max toe clearance (bias = 1.88 ± 2.35 cm) were slightly underestimated by the inertial sensors.DiscussionThe inertial sensor-based system captured appropriately all examined gait parameters in comparison to a gold standard marker-based camera system. Stride time presented an excellent agreement. Furthermore, stride length and velocity presented also low errors. Whereas for stance and swing time, marginally worse results were observed.

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Section: Methodsmentioning

confidence: 99%

Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis

et al. 2023

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Effects of Gait Speed and Sole Adjustment on Shoe–Floor Angles: Measurement Using Shoe-Type Sensor

Hashiguchi,

Numabe,

Goto

2024

Biomechanics

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Background: Assessment of walking with shoes is important for understanding different types of walking in various environments. Methods: In this study, a shoe-type sensor was used to demonstrate the shoe–floor angle in fifteen participants who walked on a treadmill under varying gait speed and sole adjustments, lifting one side of the sole. The shoe–floor angle in the sagittal; the angle of toe-up (θTup) and toe-down (θTdown) and frontal planes; and the angle of pronation (θPro) and supination (θSup) were calculated, and angles at the initial contact and maximum angles were extracted. Results: The results showed that most angles significantly increased with an increase in the gait speed (θTup and θTdown; p < 0.01 both, θPro and θSup; p < 0.02 and 0.04). Conversely, only the supination angle at the initial contact changed significantly, owing to the tilt of the sole (p < 0.01). Conclusion: Shoe movements were more strongly affected by gait speed than by sole adjustment.

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Validity and Test–Retest Reliability of Spatiotemporal Running Parameter Measurement Using Embedded Inertial Measurement Unit Insoles

Riglet,

Orliac,

Delphin

et al. 2024

Sensors

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Running is the basis of many sports and has highly beneficial effects on health. To increase the understanding of running, DSPro® insoles were developed to collect running parameters during tasks. However, no validation has been carried out for running gait analysis. The aims of this study were to assess the test–retest reliability and criterion validity of running gait parameters from DSPro® insoles compared to a motion-capture system. Equipped with DSPro® insoles, a running gait analysis was performed on 30 healthy participants during overground and treadmill running using a motion-capture system. Using an intraclass correlation coefficient (ICC), the criterion validity and test–retest reliability of spatiotemporal parameters were calculated. The test–retest reliability shows moderate to excellent ICC values (ICC > 0.50) except for propulsion time during overground running at a fast speed with the motion-capture system. The criterion validity highlights a validation of running parameters regardless of speeds (ICC > 0.70). This present study validates the good criterion validity and test–retest reliability of DSPro® insoles for measuring spatiotemporal running gait parameters. Without the constraints of a 3D motion-capture system, such insoles seem to be helpful and relevant for improving the care management of active patients or following running performance in sports contexts.

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Validity of gait parameters of healthy young adults using a motion-sensor-based gait analysis system (ORPHE ANALYTICS) during walking and running

Cited by 3 publications

References 25 publications

Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis

Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis

Effects of Gait Speed and Sole Adjustment on Shoe–Floor Angles: Measurement Using Shoe-Type Sensor

Validity and Test–Retest Reliability of Spatiotemporal Running Parameter Measurement Using Embedded Inertial Measurement Unit Insoles

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