4.6 Article

Assessment of Shoulder Range of Motion Using a Wireless Inertial Motion Capture DeviceA Validation Study

Journal

SENSORS
Volume 19, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/s19081781

Keywords

joint range of motion; inertial measurement unit; IMU; wearable; goniometer; ROM; wireless; shoulder

Ask authors/readers for more resources

(1) Background: Measuring joint range of motion has traditionally occurred with a universal goniometer or expensive laboratory based kinematic analysis systems. Technological advances in wearable inertial measurement units (IMU) enables limb motion to be measured with a small portable electronic device. This paper aims to validate an IMU, the Biokin', for measuring shoulder range of motion in healthy adults; (2) Methods: Thirty participants completed four shoulder movements (forward flexion, abduction, and internal and external rotation) on each shoulder. Each movement was assessed with a goniometer and the IMU by two testers independently. The extent of agreement between each tester's goniometer and IMU measurements was assessed with intra-class correlation coefficients (ICC) and Bland-Altman 95% limits of agreement (LOA). Secondary analysis compared agreement between tester's goniometer or IMU measurements (inter-rater reliability) using ICC's and LOA; (3) Results: Goniometer and IMU measurements for all movements showed high levels of agreement when taken by the same tester; ICCs > 0.90 and LOAs < +/- 5 degrees. Inter-rater reliability was lower; ICCs ranged between 0.71 to 0.89 and LOAs were outside a prior defined acceptable LOAs (i.e., > +/- 5 degrees); (4) Conclusions: The current study provides preliminary evidence of the concurrent validity of the Biokin IMU for assessing shoulder movements, but only when a single tester took measurements. Further testing of the Biokin's psychometric properties is required before it can be confidently used in routine clinical practice and research settings.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Computer Science, Information Systems

6G Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, H. Vincent Poor

Summary: This article explores the emerging opportunities brought by 6G technologies in IoT networks and applications. It sheds light on fundamental 6G technologies and discusses their roles in various prospective IoT applications. The article highlights research challenges and potential directions for further research in this promising area.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Emergency Medicine

Behavioural drivers influencing emergency department attendance in Victoria during the 2020 COVID-19 pandemic: A mixed methods investigation

Paul Buntine, Emogene S. Aldridge, Simon Craig, Dianne Crellin, Julian Stella, Breanna Wright, Rob D. Mitchell, Glenn Arendts, Helen Rawson, Amanda M. Rojek

Summary: This study aimed to identify the behavioral drivers and barriers that contributed to changes in ED attendance during the COVID-19 pandemic in Victoria. The results showed that patients expressed increased concerns about attending ED during the pandemic and frequently cited COVID-19 as a reason for delaying their presentation. These issues could be addressed through targeted public health messaging.

EMERGENCY MEDICINE AUSTRALASIA (2022)

Article Emergency Medicine

Wrist, hand and finger injuries in Australian football: A prospective observational study of emergency department presentations

Stephen D. Gill, Lambros Anagnostelos, Julian Stella, Nicole Lowry, Kate Kloot, Tom Reade, Tim Baker, Georgina Hayden, Matthew Ryan, Hugh Seward, Richard S. Page

Summary: This study investigated the characteristics of wrist, hand, and finger injuries in Australian footballers presenting to emergency departments, with a focus on differences between females and males, and children and adults. The results showed that females were more prone to sprains/strains, finger injuries, and injuries caused by ball contact, while children were more likely to injure their wrists, have sprains/strains, or get injured from falling. Adults, on the other hand, were more likely to dislocate joints or injure their hands. These findings suggest the need for customized injury prevention and management strategies based on sex and age.

EMERGENCY MEDICINE AUSTRALASIA (2023)

Article Emergency Medicine

Economic consequences of injury in female Australian footballers: A prospective observational study of emergency department presentations

Stephen D. Gill, Julian Stella, Mary Lou Chatterton, Nicole Lowry, Kate Kloot, Tom Reade, Tim Baker, Georgina Hayden, Matthew Ryan, Hugh Seward, Richard S. Page

Summary: This study investigates the economic consequences of injuries to female Australian footballers from a health sector and societal perspective. It finds that injuries to female footballers can result in substantial healthcare and societal costs, highlighting the importance of injury prevention programs and post-injury rehabilitation in healthcare provision.

EMERGENCY MEDICINE AUSTRALASIA (2023)

Letter Medicine, General & Internal

Distress and career regret among Australian orthopaedic surgical trainees

Carrie Kollias, Chris Conyard, Melissa Frances Formosa, Richard Page, Ian Incoll

MEDICAL JOURNAL OF AUSTRALIA (2023)

Editorial Material Surgery

Rehabilitation for total shoulder replacement: an Australian perspective

Johanna J. Mousley, Stephen D. Gill, Richard S. Page

ANZ JOURNAL OF SURGERY (2023)

Editorial Material Surgery

Doing our bit to save the planet: Identifying and abandoning low value surgery

Stephen Gill, Richard S. Page

ANZ JOURNAL OF SURGERY (2023)

Article Computer Science, Information Systems

Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor

Summary: This article proposes a novel cooperative task offloading and block mining scheme for blockchain-based MEC system, aiming to maximize system utility by jointly optimizing offloading decision, channel selection, transmit power allocation, and computational resource allocation. Simulation results demonstrate significant improvement of system utility compared to baseline approaches.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2023)

Article Orthopedics

Survivorship of shoulder arthroplasty in young patients with osteoarthritis: an analysis of the Australian Orthopaedic Association National Joint Replacement Registry

Al-achraf Khoriati, Andrew P. Mcbride, Mark Ross, Phil Duke, Greg Hoy, Richard Page, Carl Holder, Fraser Taylor

Summary: The treatment of shoulder osteoarthritis in young patients is challenging, and shoulder surgeons face difficulties in implant selection. This study compared the survival rates and reasons for revision of 5 classes of shoulder arthroplasty in patients under the age of 55 with osteoarthritis. The results showed that RTSA outperformed other implants in terms of revision rates at mid-term follow-up.

JOURNAL OF SHOULDER AND ELBOW SURGERY (2023)

Article Orthopedics

Obesity is associated with an increased risk of undergoing shoulder arthroplasty in Australia

Samuel D. J. Morgan, Christopher J. Wall, Richard N. de Steiger, Dip Biomech, Stephen E. Graves, Michelle F. Lorimer, Richard S. Page

Summary: This study aimed to compare the incidence of overweight and obesity in patients undergoing primary total shoulder arthroplasty (TSA) in Australia with the general population. The results showed that obesity significantly increased the risk of requiring TSA, particularly for younger females.

JOURNAL OF SHOULDER AND ELBOW SURGERY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Outcomes after Genicular Artery Embolization Vary According to the Radiographic Severity of Osteoarthritis: Results from a Prospective Single-Center Study

Stephen D. Gill, Rachael Hely, Andrew Hely, Benjamin Harrison, Richard S. Page, Steve Landers

Summary: This study compared the outcomes of genicular artery embolization (GAE) in patients with mild and moderate to severe knee osteoarthritis (OA), and found that the treatment was more effective in the mild OA group.

JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY (2023)

Review Biology

Biomarkers of Osteoarthritis-A Narrative Review on Causal Links with Metabolic Syndrome

Samuel James Lynskey, Marc Julian Macaluso, Stephen D. D. Gill, Sean L. L. McGee, Richard S. S. Page

Summary: The development of OA is influenced by various factors, including aging, trauma, metabolic disorders, and obesity. MetS-OA, which is associated with metabolic syndrome, involves disruptions in joint homeostasis and cartilage degradation due to metabolic disorders and low-grade inflammation. Despite efforts to identify biomarkers for MetS and OA, there is limited research on the pathophysiological link between the two conditions, and no serum blood marker has been proven to be diagnostic. This review discusses the current state of biomarker identification and utility in OA associated with MetS, as well as potential future targets for investigation.

LIFE-BASEL (2023)

Article Multidisciplinary Sciences

Arthroscopic knots: Suture and knot characterisation of modern polyblend suture materials

Earle Savage, Christopher J. Hurren, Gayathri Devi Rajmohan, William Thomas, Richard S. Page

Summary: This study explores the relationship between the biophysical structure and function of modern suture materials, focusing on their ability to withstand surgical stress and how material properties affect knot stability. Different knot types have varied effects on the suture materials themselves.

HELIYON (2023)

Article Computer Science, Theory & Methods

Federated Learning for Smart Healthcare: A Survey

Dinh C Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia Dobre, Won-Joo Hwang

Summary: Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT) have enabled the use of artificial intelligence (AI) in smart healthcare. Federated Learning (FL), as a distributed collaborative AI paradigm, is particularly attractive for smart healthcare due to its ability to train AI models without sharing raw data. This survey provides a comprehensive overview of the recent advances in FL, its motivations, requirements, and applications in key healthcare domains.

ACM COMPUTING SURVEYS (2023)

Article Computer Science, Information Systems

Technological Evolution in the Instrumentation of Ataxia Severity Measurement

Thang Ngo, Pubudu N. N. Pathirana, Malcolm K. K. Horne, Louise A. A. Corben, Ian H. H. Harding, David J. J. Szmulewicz

Summary: Cerebellar ataxia is a movement disorder caused by injury or disease to the cerebellum. Diagnosis and assessment of ataxia are challenging due to the reliance on clinical experience and subjectivity. Recent advancements in neuroimaging, sensor-based approaches, and machine learning techniques have shown promise in addressing these challenges. This paper provides an overview of the clinical challenges and outlines possible machine learning approaches, while discussing limitations and potential for future research.

IEEE ACCESS (2023)

No Data Available