Short bouts of gait data and inertial sensors can provide reliable measures of spatiotemporal gait parameters from bilateral gait data of participants with multiple sclerosis

This study aimed to determine the minimum number of repetitions for a high reliability of movement timing in fundamental physical fitness exercises using inertial sensors. Fifteen young men and fifteen women performed eight exercises (two-leg hop, forward lunge, squat, sit-up, shoulder abduction, hip abduction, back extension, and push-up) (preferred tempo, 3 trials, 20 repetitions per trial). The movement timing (cycle of movement in seconds and its phases in seconds and %tcycle) was tested for intra- and inter-trial reliability (SPSS 28.0, p ≤ 0.05). Just two repetitions were adequate for excellent intra- and inter-trial relative reliability (ICCs ≥ 0.75, isolated exceptions only for durations expressed as %tcycle, in only three out of the eight exercises: hip abduction, back extension, and push-up), as well as for high absolute intra- and inter-trial reliability (average SEM% at 5.9%, respectively, and 6.8% and average MDC95% at 13.7% and 15.9%, respectively, which was consistently higher than the upper boundary limit of SEM%, and a rather low CV% ranging from 1.5% to 4.9% and averaging at 3.1%). A total of four repetitions, excluding the initial and the final one, appears adequate for high overall reliability of movement timing in the eight physical fitness exercises examined.

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Digital Biomarkers in the Assessment of Mobility in Individuals with Multiple Sclerosis

de Queiroz,

Alves,

Sasaki

2023

Sclerosis

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The aim of this study was to investigate signal patterns and parameters of digital biomarkers in the assessment of mobility in individuals with multiple sclerosis, captured through motion sensors. This is an integrative literature review based on the PRISMA recommendations, which included studies that used wearable technology, such as accelerometers, wearable sensors or inertial sensors, and analyzed mobility/gait-related parameters, such as speed, step count, rhythm, balance, duration and intensity of activity. A total of 1602 studies were identified, of which only 21 were included in the final qualitative synthesis. The main digital biomarkers identified presented signal patterns and parameters captured through different wearable devices, including triaxial accelerometers, inertial sensors, smartphones or smartwatches. The studies employed different objective biomarker reference measures, such as walking speed and step count, and subjective biomarker reference measures, such as fatigue and quality of life assessment scales, for a comprehensive assessment of the participants’ health and mobility. It was found that digital biomarkers play a fundamental role in any individual’s health assessment and protocols. However, it is essential to understand these signals and standardize the choice of the best method to capture signals of high quantity and quality, especially for individuals affected by some neurological pathology.

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Short bouts of gait data and inertial sensors can provide reliable measures of spatiotemporal gait parameters from bilateral gait data of participants with multiple sclerosis

Cited by 3 publications

References 27 publications

Understanding User Motion

Understanding User Motion

Two Repetitions May Be Enough! Reliability of Movement Timing in Physical Fitness Exercises Performed by Young, Trained Adults Using Inertial Sensors

Digital Biomarkers in the Assessment of Mobility in Individuals with Multiple Sclerosis

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