Anticipation of falls from a structure for paraplegics by intelligent methods

Ibrahim, Hamzaoui Khalil; Gabli, Mohammed; Peyrodie, Laurent

doi:10.1109/icecocs55148.2022.9983134

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…However, our review could not identify studies that use exoskeletons to assess other areas of motor performance such as dynamic balance, fall prediction, metabolic costs, or endurance which are equally important regarding training of older adults or individuals with limited motor skills. Nevertheless, balance and fall prediction can be evaluated with wearable sensors such as IMUs, and the results may also be transferable to exoskeletons [ 89 , 90 ]. Some exoskeletons already are being prepared or systems for exoskeletons are being developed to measure stability for control purposes [ 91 , 92 ].…”

Section: Discussionmentioning

confidence: 99%

Use of Lower Limb Exoskeletons as an Assessment Tool for Human Motor Performance: A Systematic Review

Moeller

Moehler

Krell‐Roesch

et al. 2023

Sensors

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Exoskeletons are a promising tool to support individuals with a decreased level of motor performance. Due to their built-in sensors, exoskeletons offer the possibility of continuously recording and assessing user data, for example, related to motor performance. The aim of this article is to provide an overview of studies that rely on using exoskeletons to measure motor performance. Therefore, we conducted a systematic literature review, following the PRISMA Statement guidelines. A total of 49 studies using lower limb exoskeletons for the assessment of human motor performance were included. Of these, 19 studies were validity studies, and six were reliability studies. We found 33 different exoskeletons; seven can be considered stationary, and 26 were mobile exoskeletons. The majority of the studies measured parameters such as range of motion, muscle strength, gait parameters, spasticity, and proprioception. We conclude that exoskeletons can be used to measure a wide range of motor performance parameters through built-in sensors, and seem to be more objective and specific than manual test procedures. However, since these parameters are usually estimated from built-in sensor data, the quality and specificity of an exoskeleton to assess certain motor performance parameters must be examined before an exoskeleton can be used, for example, in a research or clinical setting.

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