Article
Chemistry, Analytical
Jakub Kaszynski, Cezary Baka, Martyna Bialecka, Przemyslaw Lubiatowski
Summary: This study evaluated the reliability and validity of the RSQ Motion sensor in measuring the active range of motion of the shoulder, comparing it with the Propriometer and electronic goniometer. The results showed that the RSQ Motion sensor had good correlation and reliability with the goniometer, and demonstrated high inter-rater and intra-rater reliability.
Article
Chemistry, Analytical
Lukasz Stolowski, Maciej Niedziela, Bartlomiej Lubiatowski, Przemyslaw Lubiatowski, Tomasz Piontek
Summary: This study compares the validity of a single inertial measurement unit (IMU) with a universal goniometer and inclinometer, and demonstrates that IMU can be successfully used to assess the active hip range of motion in healthy subjects.
Article
Engineering, Biomedical
Sagrario Perez-de la Cruz, Oscar Arellano de Leon, Nestor Perez Mallada, Antonio Vargas Rodriguez
Summary: The study aimed to establish the validity of the Hawk goniometer for measuring shoulder range of motion in healthy adults. The results showed a strong correlation between the Hawk goniometer and the universal goniometer, with high intra-evaluator reliability, indicating the Hawk goniometer is a valid and reliable tool for objective measurement of shoulder range of motion.
MEDICAL ENGINEERING & PHYSICS
(2021)
Article
Chemistry, Multidisciplinary
Decho Surangsrirat, Tapiya Bualuangngam, Panyawut Sri-iesaranusorn, Attawit Chaiyaroj, Chatchai Buekban, Chusak Thanawattano, Sompob Poopitaya
Summary: This study aimed to assess the agreement between a proposed standalone inertial measurement unit glove and smartphone device for wrist range of motion measurements. The results showed that both devices had similar measurements to a standard goniometer and were more convenient to use.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Analytical
Zhou Fang, Sarah Woodford, Damith Senanayake, David Ackland
Summary: Inertial measurement units (IMUs) are widely used for evaluating human motion outside the laboratory. However, accurately quantifying upper limb motion using IMUs is still challenging. This systematic review evaluates different computational methods for converting IMU data to joint angles in the upper limb and assesses their accuracy compared to optoelectronic motion analysis. The review finds that the highest accuracy is achieved using Euler angle decomposition and Kalman-based filters. The study also highlights the difficulties in accurately tracking scapulothoracic and glenohumeral joint motion due to skin motion artifacts. Future research should focus on implementing functional joint axis calibrations and IMU-based scapula locators to address these challenges.
Article
Chemistry, Analytical
Molly M. Bradach, Logan W. Gaudette, Adam S. Tenforde, Jereme Outerleys, Jose R. de Souza Junior, Caleb D. Johnson
Summary: While some studies have found strong correlations between peak tibial accelerations (TAs) and early stance ground reaction forces (GRFs) during running, others have reported inconsistent results. One potential explanation for this is the lack of a standard orientation for the sensors used to collect TAs. Therefore, our aim was to test the effects of an established sensor reorientation method on peak Tas and their correlations with GRFs.
Article
Engineering, Electrical & Electronic
Chiara Romano, Domenico Formica, Emiliano Schena, Carlo Massaroni
Summary: This study investigates the influence of sensor placement for cardiorespiratory monitoring using inertial measurement units (IMUs). Triaxial accelerometer data was collected from 15 healthy volunteers in different postures, and the most informative axis and sensor position were determined. The general-purpose configuration allows accurate estimation of respiratory rate (RR) and heart rate (HR), while the posture-dependent configuration improves RR estimation, especially during walking and standing.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Analytical
Bryan Rivera, Consuelo Cano, Israel Luis, Dante A. Elias
Summary: This paper presents the development of a 3D printed knee wearable goniometer that uses a Hall-effect sensor to measure knee flexion angle and detects user activity through an algorithm. The wearable device showed small errors compared to commercial goniometers and motion capture systems in measuring gait cycles, and the algorithm accurately predicted user activities.
Article
Chemistry, Analytical
Martyna Bialecka, Kacper Gruszczynski, Pawel Cisowski, Jakub Kaszynski, Cezary Baka, Przemyslaw Lubiatowski
Summary: The invention of inertial measurement units has made it possible to use sensors for human motion tracking that are more affordable than optical motion capture systems. However, there are factors that affect the accuracy of these sensors, such as calibration methods and fusion algorithms. This study aimed to test the accuracy of a single RSQ Motion sensor compared to an industrial robot and to investigate the impact of sensor calibration and angle magnitude on accuracy. The results showed that the RSQ Motion sensor was highly accurate, with a root-mean-square error below 0.15°, and that there was a correlation between sensor error and angle magnitude for the gyroscope and accelerometer calibrated sensor.
Article
Chemistry, Analytical
Riccardo Bravi, Stefano Caputo, Sara Jayousi, Alessio Martinelli, Lorenzo Biotti, Ilaria Nannini, Erez James Cohen, Eros Quarta, Stefano Grasso, Giacomo Lucchesi, Gabriele Righi, Giulio Del Popolo, Lorenzo Mucchi, Diego Minciacchi
Summary: This study evaluated the validity of using a customized wireless wearable sensor system for assessing shoulder ROM in CSCI patients in a clinical setting, and found essential information on its accuracy.
Article
Engineering, Electrical & Electronic
Chunzhi Yi, Seungmin Rho, Baichun Wei, Chifu Yang, Zhen Ding, Zhiyuan Chen, Feng Jiang
Summary: This study proposes a computationally lightweight method to detect and correct IMU movements in real time. The method is validated using both synthetic data and real-user data and shows good performance in detecting IMU movements and restoring the accuracy of joint angle estimation (JAE).
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Chemistry, Analytical
Thang Hoang, Yaojung Shiao
Summary: Observation of human joint motion is important in various fields for obtaining information about musculoskeletal parameters. This study proposes a novel and low-cost method for monitoring human joint motion using a mathematical model and an Inertial Measurement Unit (IMU) device. The collected data based on signal features can reveal the conditions of multiple physical and mental health issues. The proposed method is verified and found to properly estimate joint motions with reduced-number IMUs using image-processing technology.
Article
Automation & Control Systems
Xin Zhang, Changle Zhou, Fei Chao, Chih-Min Lin, Longzhi Yang, Changjing Shang, Qiang Shen
Summary: This article presents a calibration method for low-cost IMU to improve accuracy by effectively deriving the nonlinear scale factors of the sensors. The validation on both synthetic and real-world data sets showed significantly smaller errors in acceleration and angular velocity compared to existing approaches, demonstrating a remarkable improvement of 64.12% and 47.90%, respectively.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Chemistry, Analytical
Junqi Zhao, Esther Obonyo, G. Sven Bilen
Summary: This study proposes the design of a wearable inertial measurement unit (IMU) sensing system and develops a prototype for end-user evaluation. The results suggest that wearable sensing is a promising approach for collecting motion data, posture-based MSDs risk assessment has potential in improving workers' safety awareness, and mobile- and cloud-based user interfaces can deliver risk assessment information to end-users easily.
Article
Chemistry, Analytical
Alejandro Sanchez Guinea, Simon Heinrich, Max Muhlhauser
Summary: This paper proposes a new approach for activity-free user identification based on hand and arm motion patterns, which allows users to move freely during daily activities without specific actions. Experimental results demonstrate that the method can accurately identify users with high efficiency.
Article
Computer Science, Information Systems
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
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
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
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
Carrie Kollias, Chris Conyard, Melissa Frances Formosa, Richard Page, Ian Incoll
MEDICAL JOURNAL OF AUSTRALIA
(2023)
Editorial Material
Surgery
Johanna J. Mousley, Stephen D. Gill, Richard S. Page
ANZ JOURNAL OF SURGERY
(2023)
Editorial Material
Surgery
Stephen Gill, Richard S. Page
ANZ JOURNAL OF SURGERY
(2023)
Article
Computer Science, Information Systems
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
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
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
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
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.
Article
Multidisciplinary Sciences
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.
Article
Computer Science, Theory & Methods
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
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.