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The use of wearable motion sensors combined with the Microsoft Kinect to measure shoulder range of motion in healthy individuals.

Reliability and validity of using wearable inertial sensors integrated with the Microsoft Kinect (BioCap System) to measure shoulder range of motion in healthy individuals

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12617000266369
Enrollment
50
Registered
2017-02-21
Start date
2017-02-24
Completion date
2017-10-04
Last updated
2018-02-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Shoulder range-of-motion measurement (ROM) in clinical settings is an integral component of physical examination to diagnose, evaluate treatment and quantify possible changes in people with shoulder pain. Compared to any other joint in the body, the shoulder has no fixed axis and produces the greatest ROM in the body. Hence, the reliability of measuring shoulder motion presents a challenge to clinicians. Advances in miniature devices and technology have led researchers to utilise wearable inertial sensors to capture human movement. Inertial sensors consisting of accelerometers, gyroscopes and magnetometers have the capability to measure joint angles, angular velocity and dynamic acceleration forces. The Microsoft Kinect (v2) is a low cost, portable, motion-sensing device capable of tracking up to six bodies within its field of view. The device features a depth sensor which provides full-body 3D motion capture capabilities. Up to 25 joint positions are extracted in three dimensions for each tracked body. The BioCap system (Sydney, Australia) combines two wireless inertial sensors worn on the wrists with an optical sensor (Kinect v2) to estimate human motion. Data is processed and merged to produce a full-body skeleton model of the subject. Measurements based on wearable sensors may potentially represent a well-balanced compromise between the practicality of questionnaires and the measurement precision and reliability of laboratory-based movement analysis (Pandyan et al 2002). It may in clinical practice help physicians in decision-making and clarify patients post-treatment expectations. However, before such technology can be used routinely, reliability and validity needs to be established to compare its performance to a gold standard. Thus, the purpose of this research is to determine the reliability and validity of a system that integrates inertial sensors with Kinect v2 to measure human shoulder joint angles. It is hypothesised that the BioCap system will be a highly reliable and valid tool to measure shoulder range-of-motion and kinematics in clinical practice.

Interventions

The purpose of this study is to investigate whether using inertial sensors integrated with the Microsoft Kinect v2 (BioCap system) is a reliable and valid method to measure shoulder range-of motion, velocity and acceleration forces in healthy adults. The BioCap system enables motion tracking and movement analysis of the shoulder in real-time. Data collection will be conducted by a physiotherapist with 10 years of clinical experience and a 6th year medical student. Participants wearing wrist b

The purpose of this study is to investigate whether using inertial sensors integrated with the Microsoft Kinect v2 (BioCap system) is a reliable and valid method to measure shoulder range-of motion, velocity and acceleration forces in healthy adults. The BioCap system enables motion tracking and movement analysis of the shoulder in real-time. Data collection will be conducted by a physiotherapist with 10 years of clinical experience and a 6th year medical student. Participants wearing wrist bands mounted with inertial sensors will stand in front of a camera sensor (Kinect sensor) connected to a LCD television displaying a full-body, real-time kinematic model describing a segmental representation of the human skeleton. Participants will perform two bilateral active shoulder movements (1) forward flexion and (2) abduction for five repetitions to a verbally standardised protocol. Participants will then touch standardised fixed points along a vertical line of rope in shoulder forward flexion and abduction. For intra-rater and inter-rater reliability analysis, the same participants will be assessed by the same rater, on two different days, with an interval period of 7 days. To assess inter-rater reliability, measurements will be taken twice by on each occasion. To assess validity, shoulder range of motion will be also be measured using goniometry. The goniometric measurements will be taken 5 minutes after BioCap system measurements. Participants will be required to remove their shirt and stand with feet shoulder-width apart. The participant will be instructed to move their shoulder (thumb pointing upwards) to the end of active shoulder forward flexion and abduction range of motion. The flexion angle will be formed by aligning the goniometer with the lateral epicondyle of the humerus, the middle of the glenoid fossa, a vertical line in the coronal plane. The abduction angle will be formed by aligning the middle of the glenoid fossa, and a vertical line in the coronal plane.

Sponsors

Prof Bill Walsh
Lead SponsorIndividual

Study design

Allocation
Non-randomised trial
Primary purpose
Diagnosis

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Aged 18 years and over Willingness to give written informed consent and willingness to participate to and comply with the study.

Exclusion criteria

Rotator cuff pathology, calcific tendinitis, rotator cuff tear of any size, subacromial impingement, subscapularis tendon tears Recent or previous fractures of the shoulder complex Previous shoulder surgery. Radiologically verified malignancy Shoulder instability/dislocation/subluxation Adhesive capsulitis Symptoms referred from the cervical spine Clinically verified polyarthritis, rheumatoid arthritis, fibromyalgia

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026