Test-Retest and Intra-rater Reliability of Using Inertial Sensors and Its Integration with Microsoft Kinect™ to Measure Shoulder Range-of-Motion

Beshara, Peter; Chen, Judy F.; Lagadec, Pierre; Walsh, William R.

doi:10.1007/978-3-319-51234-1_31

Cited by 4 publications

(6 citation statements)

References 19 publications

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“…HumanTrak demonstrated lower SEM and MDC values than goniometry with small measurement errors (2-4 • ), indicating good absolute reliability. Similar to our results, an initial study utilising the BioCap system (the beta version of HumanTrak) reported adequate intra-rater reliability for free shoulder forward flexion (ICC = 0.93 and 0.83) and abduction (ICC = 0.82) [58]. Previous studies have only investigated inertial sensors or the Kinect separately to measure shoulder joint angles.…”

Section: Discussionsupporting

confidence: 87%

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The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

Beshara

Chen

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et al. 2020

Sensors

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Background: Objective assessment of shoulder joint active range of motion (AROM) is critical to monitor patient progress after conservative or surgical intervention. Advancements in miniature devices have led researchers to validate inertial sensors to capture human movement. This study investigated the construct validity as well as intra- and inter-rater reliability of active shoulder mobility measurements using a coupled system of inertial sensors and the Microsoft Kinect (HumanTrak). Methods: 50 healthy participants with no history of shoulder pathology were tested bilaterally for fixed and free ROM: (1) shoulder flexion, and (2) abduction using HumanTrak and goniometry. The repeat testing of the standardised protocol was completed after seven days by two physiotherapists. Results: All HumanTrak shoulder movements demonstrated adequate reliability (intra-class correlation (ICC) ≥ 0.70). HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.93 and 0.85) than goniometry (ICCs: 0.75 and 0.53) for measuring free shoulder flexion and abduction AROM, respectively. Similarly, HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.81 and 0.94) than goniometry (ICCs: 0.70 and 0.93) for fixed flexion and abduction AROM, respectively. Construct validity between HumanTrak and goniometry was adequate except for free abduction. The differences between raters were predominately acceptable and below ±10°. Conclusions: These results indicated that the HumanTrak system is an objective, valid and reliable way to assess and track shoulder ROM.

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Section: Discussionsupporting

confidence: 87%

“…The sample size calculation was based on the data from a previous pilot study [ 58 ]. The calculation was conducted using the G*Power statistical tool to determine the sample size with 2 raters a significance level of 0.05 and a power of 95%; a sample size of 50 participants would be required.…”

Section: Methodsmentioning

confidence: 99%

The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

Beshara

Chen

Read

et al. 2020

Sensors

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“…Two studies reported good inter-rater reliability (ICC > 0.80) for shoulder flexion, extension, and abduction [101,112]. Intra-rater reliability for coupling inertial sensors with the Kinect was moderate to good for flexion, and poor to moderate for abduction [92].…”

Section: The Microsoft Kinectmentioning

confidence: 99%

“…Twenty-three studies identified the anatomical landmarks for each device and are summarised in Table 5. A total of six studies reported using a vector from the shoulder joint to the elbow for the Microsoft Kinect [92][93][94]105].…”

Section: Anatomical Landmarksmentioning

confidence: 99%

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

Anderson

Pelletier

et al. 2021

Sensors

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Advancements in motion sensing technology can potentially allow clinicians to make more accurate range-of-motion (ROM) measurements and informed decisions regarding patient management. The aim of this study was to systematically review and appraise the literature on the reliability of the Kinect, inertial sensors, smartphone applications and digital inclinometers/goniometers to measure shoulder ROM. Eleven databases were screened (MEDLINE, EMBASE, EMCARE, CINAHL, SPORTSDiscus, Compendex, IEEE Xplore, Web of Science, Proquest Science and Technology, Scopus, and PubMed). The methodological quality of the studies was assessed using the consensus-based standards for the selection of health Measurement Instruments (COSMIN) checklist. Reliability assessment used intra-class correlation coefficients (ICCs) and the criteria from Swinkels et al. (2005). Thirty-two studies were included. A total of 24 studies scored “adequate” and 2 scored “very good” for the reliability standards. Only one study scored “very good” and just over half of the studies (18/32) scored “adequate” for the measurement error standards. Good intra-rater reliability (ICC > 0.85) and inter-rater reliability (ICC > 0.80) was demonstrated with the Kinect, smartphone applications and digital inclinometers. Overall, the Kinect and ambulatory sensor-based human motion tracking devices demonstrate moderate–good levels of intra- and inter-rater reliability to measure shoulder ROM. Future reliability studies should focus on improving study design with larger sample sizes and recommended time intervals between repeated measurements.

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“…The device contains a depth sensor that can set up full-body 3D motion capture features. Based on an embedded skeleton algorithm, up to 25 joints for every identified body are provided in 3D(Beshara et al, 2016;Naeemabadi et al, 2018). A number of research studies were carried out in order to evaluate the precision and sustainability of Microsoft Kinect sensors for…”

mentioning

confidence: 99%

A Smart Assistance Solution for Remotely Monitoring the Orthopaedic Rehabilitation Process Using Wearable Technology: re.flex System

Ianculescu¹,

Andrei²,

Alexandru³

2019

SIC

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Physical therapy helps patients during their rehabilitation programme after orthopaedic post-operative interventions or in case of musculoskeletal injuries. For a full recovery and a minimisation of the risk of complications, the prescribed in-clinical therapy sessions must be supplemented by independent home training. The purpose of this paper is to present the emerging technologies used for monitoring ortophedic movements and to introduce an innovative telerehabilitation-as-aservice solution, called re.flex, which consists of two IMU (Inertial Measurement Unit) motion tracking sensors and a mobile application The therapist makes use of standardised digitised physical exercises that are carefully chosen so as to create, by selection, a custom designed training program that will meet the needs of each patient. The feedback provided by the sensors enables the therapist to a) monitor the patients' compliance with the training program in a transparent manner, b) keep track of the documentation related to the recovery progress through data-collection during in-clinical and in-home exercise-based rehabilitation c) customize the training program. The real-time 3D smartphone animations and the direct visual, audio and haptic feedback from the sensors assist patients in performing the rehabilitation exercises assigned to them. The abovementioned application allows the patients to visualise their injured limb on their smartphone or tablet in an innovative 3D-360° manner, thereby reducing their fear of making mistakes during the recovery process and offering them constant security. The study evaluates the effects of this kind of approach for a group of 30 participants and the results recorded are in favour of the patients recovering with re.flex.

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Test-Retest and Intra-rater Reliability of Using Inertial Sensors and Its Integration with Microsoft Kinect™ to Measure Shoulder Range-of-Motion

Cited by 4 publications

References 19 publications

The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

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

A Smart Assistance Solution for Remotely Monitoring the Orthopaedic Rehabilitation Process Using Wearable Technology: re.flex System

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