Kinematic Metrics for Upper-limb Functional Assessment of Stroke Patients

Sheng, Bo; Wang, Xiang-Bin; Xiong, Shuping; Hou, Meijin; Zhang, Yanxin

doi:10.1109/iciibms46890.2019.8991507

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…In people with stroke, when assessed by the Kinect v2, hand and trunk range of motion are valid and reliable [24] and kinematics can distinguish the reaching performance between healthy control, lessaffected side and more-affected side of patients with stroke [25][26][27]. Yet, there is no further information on precise kinematic variables.…”

Section: ) Backgroundmentioning

confidence: 99%

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Faity¹,

Mottet²,

Froger³

2022

Preprint

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Background: Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the assessment of 17 kinematic variables commonly used in the analysis of upper limb reaching in stroke. Methods: 26 healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce a behaviour similar to that of a person with a stroke. 3D upper limb and trunk motion were simultaneously recorded with the Kinect v2 (Microsoft, USA) and with the VICON (OxfordMetrics, UK), the latter being the reference system. For each kinematic outcome, the validity of the Kinect was assessed with ICC, linear regression and Bland & Altman plots. Results: The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability, indicating that these variables should be interpreted with caution. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess Cartesian and angular kinematics over time, rendering variables such as the number of velocity peaks and the peak hand velocity unusable. Conclusions: Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the limitations of the Kinect for the instantaneous tracking of the hand and elbow.

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Section: ) Backgroundmentioning

confidence: 99%

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Faity¹,

Mottet²,

Froger³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Previous works on people with stroke show that, with the Kinect v2, hand and trunk range of motion are valid and reliable [ 26 ] and a combination of hand efficiency, hand smoothness and shoulder adduction can distinguish the reaching performance between healthy control, the less-affected side and the more-affected side of patients with stroke [ 27 , 28 , 29 ]. Yet, measures of temporal and spatial efficiency, though widely used in virtual reality rehabilitation [ 30 ], have not yet been validated.…”

Section: Introductionmentioning

confidence: 99%

Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching

Faity¹,

Mottet²,

Froger

2022

Sensors

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Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but it remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the analysis of upper limb reaching kinematics. Twenty-six healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce behaviour similar to that of stroke survivors. With the Kinect v2 and with the VICON, 3D upper limb and trunk motions were simultaneously recorded. The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess the number of velocity peaks and the peak hand velocity. Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the tracking limitations of the Kinect.

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An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study

et al. 2020

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Kinematic Metrics for Upper-limb Functional Assessment of Stroke Patients

Cited by 4 publications

References 29 publications

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching

An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study

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