Publications by authors named "James Cheung"

Finite element analysis has become indispensable for biomechanical research on clavicle fractures. This review summarized evidence regarding configurations and applications of finite element analysis in clavicle fracture fixation. Seventeen articles involving 22 clavicles were synthesized from CINAHL, Embase, IEEE Xplore, PubMed, Scopus, and Web of Science databases.

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Background: Depressive symptoms are common among people with dementia (PWD). Exergaming consisting of combined cognitive and physical training in gaming is increasingly used to alleviate their depressive symptoms in research. With its potential synergistic neurobiological and psychosocial effects on reducing depressive symptoms among PWD, this review aimed to understand its effectiveness and contents.

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Tuberculosis (TB) remains a leading cause of morbidity and mortality worldwide, necessitating the development of more effective vaccines. Nanoparticle-based adjuvants represent a promising approach to enhancing tuberculosis vaccine efficacy. This review focuses on the advantages of nanoparticulate-loaded vaccines, emphasizing their ability to improve antigen delivery, safety, and immunogenicity.

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Assistive technology (AT) professionals are in pressing need with nowadays growing aged/disabled population, so as well-designed higher education programs in this field. This study designed and implemented a case-based active learning approach within an undergraduate course related to AT in Hong Kong, and assessed its impact on enhancing student engagement over two academic years. A total of twelve multimedia patient case dossiers on six major physical disabilities were created.

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Article Synopsis
  • Abnormal tau protein changes are linked to Alzheimer's disease and can be caused by harmful particles in the body known as reactive oxygen species (ROS).
  • Hydrogen gas can help reduce these harmful particles, but current ways to use it aren't very effective.
  • Scientists created special tiny machines that use light to produce hydrogen gas right where it's needed, which might help in treating Alzheimer's disease in the future.
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RNA is a promising nucleic acid-based biomolecule for various treatments because of its high efficacy, low toxicity, and the tremendous availability of targeting sequences. Nevertheless, RNA shows instability and has a short half-life in physiological environments such as the bloodstream in the presence of RNAase. Therefore, developing reliable delivery strategies is important for targeting disease sites and maximizing the therapeutic effect of RNA drugs, particularly in the field of immunotherapy.

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Assessing sleep posture, a critical component in sleep tests, is crucial for understanding an individual's sleep quality and identifying potential sleep disorders. However, monitoring sleep posture has traditionally posed significant challenges due to factors such as low light conditions and obstructions like blankets. The use of radar technolsogy could be a potential solution.

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The accuracy of sleep posture assessment in standard polysomnography might be compromised by the unfamiliar sleep lab environment. In this work, we aim to develop a depth camera-based sleep posture monitoring and classification system for home or community usage and tailor a deep learning model that can account for blanket interference. Our model included a joint coordinate estimation network (JCE) and sleep posture classification network (SPC).

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Background: The purpose of this study was to compare the biomechanical stress and stability of calcaneal fixations with and without bone defect, before and after bone grafting, through a computational approach.

Methods: A finite element model of foot-ankle complex was reconstructed, impoverished with a Sanders III calcaneal fracture without bone defect and with moderate and severe bone defects. Plate fixations with and without bone grafting were introduced with walking stance simulated.

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Article Synopsis
  • Dementia affects not just the person who has it but also the people taking care of them, which can lead to problems in those relationships.
  • VR simulations can help caregivers understand what it's like to live with dementia, making them more empathetic and improving their care.
  • A review of several studies found that while the results on improving empathy were mixed, caregivers did learn more about dementia and began to change their attitudes towards those they care for.
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Biomechanical studies play an important role in understanding the pathophysiology of sleep disorders and providing insights to maintain sleep health. Computational methods facilitate a versatile platform to analyze various biomechanical factors in silico, which would otherwise be difficult through in vivo experiments. The objective of this review is to examine and map the applications of computational biomechanics to sleep-related research topics, including sleep medicine and sleep ergonomics.

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  • Early-stage oxidative stress and inflammation after tendon surgery can lead to problematic adhesion formation, affecting tendon healing and function.
  • Researchers developed a dual-layer Janus patch that combines an inner multifunctional hydrogel layer with an outer fibrous layer to improve tendon healing while minimizing adhesions.
  • The inner layer shows excellent mechanical and biological properties, providing a supportive environment for tendon recovery, while the outer layer serves as a barrier to prevent unwanted tissue invasion.
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This study examined the influence of set-interval and repetition-interval rest time of virtual reality (VR) boxing game in supine-lying posture. Fifty healthy middle-aged adults were randomly assigned into VR and non-VR groups to perform six different exercise protocols with varying set-interval and repetition-interval rest times (SR, SR, SR, SR, SR, and SR). Analysis on the non-VR group showed significant differences between exercise protocols for average heart rate (p < 0.

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The objective of this review was to summarize the applications of sonoelastography in testicular tumor identification and inquire about their test performances. Two authors independently searched English journal articles and full conference papers from CINAHL, Embase, IEEE Xplore, PubMed, Scopus, and Web of Science from inception and organized them into a PIRO (patient, index test, reference test, outcome) framework. Eleven studies ( = 11) were eligible for data synthesis, nine of which ( = 9) utilized strain elastography and two ( = 2) employed shear-wave elastography.

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Aspiration caused by dysphagia is a prevalent problem that causes serious health consequences and even death. Traditional diagnostic instruments could induce pain, discomfort, nausea, and radiation exposure. The emergence of wearable technology with computer-aided screening might facilitate continuous or frequent assessments to prompt early and effective management.

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Microneedle, as a novel drug delivery system, has attracted widespread attention due to its non-invasiveness, painless and simple administration, controllable drug delivery, and diverse cargo loading capacity. Although microneedles are initially designed to penetrate stratum corneum of skin for transdermal drug delivery, they, recently, have been used to promote wound healing and regeneration of diverse tissues and organs and the results are promising. Despite there are reviews about microneedles, few of them focus on wound healing and tissue regeneration.

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Sleep posture has a crucial impact on the incidence and severity of obstructive sleep apnea (OSA). Therefore, the surveillance and recognition of sleep postures could facilitate the assessment of OSA. The existing contact-based systems might interfere with sleeping, while camera-based systems introduce privacy concerns.

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While hallux valgus (HV) surgeries are useful for correcting skeletal alignment problems, their effects on plantar load, which reflects forefoot functions, are less understood. The objective of this study is to conduct a systematic review and meta-analysis on the plantar load change after HV surgeries. A systematic search of Web of Science, Scopus, PubMed, CENTRAL, EMBASE, and CINAHL was performed.

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Dysphagia is one of the most common problems among older adults, which might lead to aspiration pneumonia and eventual death. It calls for a feasible, reliable, and standardized screening or assessment method to prompt rehabilitation measures and mitigate the risks of dysphagia complications. Computer-aided screening using wearable technology could be the solution to the problem but is not clinically applicable because of the heterogeneity of assessment protocols.

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Article Synopsis
  • Elastography improves tumor detection in the endocrine system by mapping tissue stiffness, and machine learning enhances the accuracy of these diagnoses.
  • A review of 11 relevant studies focused primarily on thyroid (8 studies) and pancreatic (3 studies) tumors, utilizing different elastography techniques.
  • Most methods delivered an accuracy of at least 80%, with the highest being 94.7% for thyroid tumors (using sequential training CNN) and 98.26% for pancreatic tumors (using a CNN-LSTM model integrating multiple imaging types).
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Swallowing disorders, especially dysphagia, might lead to malnutrition and dehydration and could potentially lead to fatal aspiration. Benchmark swallowing assessments, such as videofluoroscopy or endoscopy, are expensive and invasive. Wearable technologies using acoustics and accelerometric sensors could offer opportunities for accessible and home-based long-term assessment.

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  • Surface-enhanced Raman scattering (SERS) imaging is being explored as a novel method for improving cancer diagnosis and treatment, particularly through combined methods like chemotherapy and photothermal therapy (chemo-PTT).
  • A new multifunctional nanoplatform, RGD-pAS@AuNC, uses mesoporous silica-coated gold nanostars and boasts enhanced SERS signals, high photothermal conversion efficiency (85.5%), and a substantial drug loading capacity for doxorubicin (DOX).
  • The study demonstrates that this nanoplatform effectively targets tumors in a HeLa cell model, shows minimal cytotoxicity, and allows for NIR-triggered drug release, leading to significant tumor treatment outcomes with just 5 minutes
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  • Emerging sleep health technologies can enhance the monitoring of sleep disorders, and this study introduces a new deep learning model to improve sleep posture classification accuracy.
  • The model uses a combination of depth images, visible light cameras, and anatomical landmark features to classify seven major sleep postures across various blanket conditions.
  • Results indicated that the ECA-Net50 model achieved the highest classification accuracy, with significant improvements when incorporating anatomical landmarks, showing less interference from blanket types.
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Agitated behaviour among elderly people with dementia is a challenge in clinical management. Wrist accelerometry could be a versatile tool for making objective, quantitative, and long-term assessments. The objective of this review was to summarise the clinical application of wrist accelerometry to agitation assessments and ways of analysing the data.

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Objectives: We have proposed a novel intramedullary nail (Ni-Nail) by incorporating a sustentaculum tali screw to improve the fixation stability of minimally invasive treatment for calcaneal fractures. This study aimed to evaluate the biomechanical characters of the Ni-Nail system and compare it with traditional C-Nail system.

Methods: A finite element model of a Sanders type-IIIAB calcaneal fracture was reconstructed and fixed using two intramedullary nail systems, which was validated by a cadaver study.

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