The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis

Beshara, Peter; Anderson, David; Pelletier, Matthew H.; Walsh, William R.

doi:10.3390/s21248186

Cited by 19 publications

(14 citation statements)

References 132 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In such studies, the type of device may affect the reliability and validity of the measurement; thus, the present study will analyze results by device in subgroup analysis. Lee et al [24] reported that sitting and standing positions may cause differences in shoulder ROM measurements, and Beshara et al [4] emphasized appropriate patient posture and protocol standardization for measuring shoulder ROM. For these reasons, this study aims to analyze measurement methods that may affect validity and reliability, including patient and sensor location in the subgroup analysis.…”

Section: Discussionmentioning

confidence: 99%

“…However, its low inter-rater reliability and measurement variability between clinicians make it difficult to apply in clinical settings. [4] Although a 3D-marker based motion tracking system is used as an alternative, it is expensive, requires a large space, and requires time and clinician’s experience. These drawbacks make traditional motion capture systems unsuitable for clinical use.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis

Lee

Kim

et al. 2023

Medicine

View full text Add to dashboard Cite

Background: The range-of motion (ROM) is an essential component of joint mobility. Shoulder ROM measurement has been problematic due to its complexity. A marker less motion capture system can be a potential alternative for upper limb assessment. Currently, there is no systematic review to evaluate the validity of a marker less motion capture system for assessing shoulder ROM. This study aims to describe methods to evaluate the reliability and validity of a single camera marker less motion capture system that uses an RGB-depth sensor to measure shoulder ROM. Methods: Studies that measured shoulder ROM with a single camera marker less motion capture system using the RGB-depth sensor and assessed the intra- and/or inter-rater reliability, and/or validity of the device will be included. The search of electronic databases, such as MEDLINE, EMBASE, Cochran library, Cumulative Index to Nursing, and Allied Health Literature via EBSCO, IEEE Xplore, China National Knowledge Infrastructure, KoreaMed, Korean studies Information Service System, and Research Information Sharing Services will be performed for all relevant articles from inception to December 2022. Two authors will independently perform quality assessments using the Consensus-based Standards for the selection of health Measurement Instruments checklist for reliability, measurement error of outcome measurement instrument, and criterion validity. The primary outcomes will be the intra- and inter-rater reliability and validity of the markerless motion capture system measuring shoulder flexion, extension, abduction, adduction, internal rotation, or external rotation. A subgroup analysis would be performed if there are sufficient data to pool to identify an influencing factor in the measurement of ROM using a marker less motion capture system. Results and Conclusion: These findings will present tools to utilize and evaluate single camera motion capture systems for the medical use for clinicians and healthcare experts and can aid in further clinical research using such a system for different movements and other joints.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis

Lee

Kim

et al. 2023

Medicine

View full text Add to dashboard Cite

show abstract

“…In [ 20 , 21 ], the measures of shoulder functional movements, provided by Kinect, have been compared with the measure given by clinical and digital goniometers and optoelectronic system with good results in terms of device reliability and validity. In a recent systematic review [ 22 ], the authors evidenced moderate to good levels of intra- and inter-rater reliability to measure shoulder’s ROM using different devices, such as smartphone applications, digital inclinometers/goniometers, inertial sensors, and Kinect.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2

Carnevale

Mannocchi

Sassi

et al. 2022

Sensors

View full text Add to dashboard Cite

Virtual reality (VR) systems are becoming increasingly attractive as joint kinematics monitoring systems during rehabilitation. This study aimed to evaluate the accuracy of the Oculus Quest 2 in measuring translational and rotational displacements. As the Oculus Quest 2 was chosen for future applications in shoulder rehabilitation, the translation range (minimum: ~200 mm, maximum: ~700 mm) corresponded to the forearm length of the 5th percentile female and the upper limb length of the 95th percentile male. The controller was moved on two structures designed to allow different translational displacements and rotations in the range 0–180°, to cover the range of motion of the upper limb. The controller measures were compared with those of a Qualisys optical capture system. The results showed a mean absolute error of 13.52 ± 6.57 mm at a distance of 500 mm from the head-mounted display along the x-direction. The maximum mean absolute error for rotational displacements was found to be 1.11 ± 0.37° for a rotation of 40° around the z-axis. Oculus Quest 2 is a promising VR tool for monitoring shoulder kinematics during rehabilitation. The inside-out movement tracking makes Oculus Quest 2 a viable alternative to traditional motion analysis systems.

show abstract

“…4,5 Also, markerless motion capture systems have been validated and applied to functional diagnostics and rehabilitation. [6][7][8] The common commercially available sensors used for markerless motion analysis are Leap Motion Controller (LMC; Leap Motion Inc., San Francisco, USA) and consecutive versions of Microsoft Kinect sensors (Kinect for Windows v. 1 (V1) and Kinect for Windows v. 2 (V2); Microsoft Corp., Redmond, USA). 9,10 For center-based and home rehabilitation purposes, Nintendo Wii Mote, Wii Balance Board (Nintendo Inc., Redmond, USA) and Microsoft Kinect motion-sensing game controllers have gained popularity over the past years.…”

Section: Introductionmentioning

confidence: 99%

Wrist motion assessment using Microsoft Azure Kinect DK: A reliability study in healthy individuals

Królikowska¹,

Maj²,

Dejnek³

et al. 2022

Adv Clin Exp Med

View full text Add to dashboard Cite

Background. Motion analysis systems have been widely used in orthopedics and rehabilitation for diagnostics, patient monitoring and outcome evaluation purposes. Since Microsoft Azure Kinect Developer Kit (DK) had been released, only a few studies were published concerning its usage. However, it has not been used for wrist motion assessments, even though the use of standardized examinations with known reliability, validity and responsiveness remains a constant challenge.Objectives. This study aimed to examine the reliability of hand and forearm range of motion (ROM) measurements recorded using new software utilizing the Microsoft Azure Kinect DK. Materials and methods.Twenty-eight healthy males and 28 healthy females participated in measurements of active ROM for wrist extension, wrist flexion, radial deviation, ulnar deviation, and forearm supination and pronation on 3 separate occasions. Sessions 1 and 2 were carried out on the same day with a 90-minute rest period between each session, while the 3 rd session was conducted a week later. Data were recorded simultaneously in both limbs using a custom-made software developed by a software development company (Oleksy Medical & Sports Sciences, Łańcut, Poland) for the purposes of the present study using Microsoft Azure Kinect DK. The assessment of intra-day and inter-day reliability was based on intraclass correlation coefficient (ICC) calculations and interpreted based on commonly used guidelines.Results. In the group of males, the lowest ICC was 0.846 for intra-day comparisons and 0.816 for inter-day analyses. In the female group, the lowest ICC for intra-day comparisons was 0.826 and exceeded 0.833 for inter-day comparisons.Conclusions. The developed software using Microsoft Azure Kinect DK demonstrated high reliability in measuring wrist and forearm active ROM. These promising results support the use of Microsoft Azure Kinect DK in a clinical capacity as a potential hand assessment and rehabilitation tool.

show abstract

The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis

Cited by 19 publications

References 132 publications

Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis

Validity and reliability of the single camera marker less motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis

Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2

Wrist motion assessment using Microsoft Azure Kinect DK: A reliability study in healthy individuals

Contact Info

Product

Resources

About