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Biomedical Engineering Advances
ISSN 2667-0992 · Elsevier · 205 articles in the index
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Journal Article
Influence of stance width and foot rotation on muscle activity and ground reaction forces during squats in female lacrosse players
Female lacrosse players experience a high burden of non-contact lower-extremity injuries, and squat-based neuromuscular training is commonly used to develop lower-limb strength, coordination, and load tolerance. How common technique modifications such as stance width and foot rotation affect joint…
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Journal Article
Lubrication to reduce tissue shear loading - effects on comfort perception and tissue damage when wearing a facemask
Patients with respiratory disease often require breathing support delivered via a nasal or facemask. The use of such a mask causes continued loading of the skin which can result in discomfort or skin injury, which may lead to low adherence to treatment. It is hypothesised that lubricating the…
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Journal Article
A fused attention-based hybrid model for semi-supervised medical image segmentation
Addressing the significant challenge of extensive data annotation in medical image segmentation, semi-supervised techniques have become an effective alternative for leveraging both labeled and unlabeled data. However, accurately capturing complex local structures and global contextual information…
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Journal Article
A predictive model for birth delivery mode utilizing shape characteristics of uterine contractions from electrohysterographic signals and obstetric parametersUsed Electrohysterogram database (Icelandic 16-electrode electrohysterogram database) in this study which are publicly available (accessible at: ) in Physiobank.
Birth delivery outcomes have a substantial impact on maternal and neonatal health. The objective of this work is to develop a predictive model that can identify the method of delivery during active labor, specifically by identifying contraction bursts, so that physicians can make decisions more…
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Journal Article
Lung-Mamba: Lung nodule segmentation model optimized by Mamba’s selective state spaces
The low five-year survival rate for lung cancer underscores the importance of early detection. A key component of this process is the accurate segmentation of pulmonary nodules from CT scans to quantify their characteristics. While deep learning models have advanced this field, Transformer-based…
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Journal Article
Normal and shear forces measurements at the interface of the skin–knee distraction orthosis during squatting: A feasibility study
Understanding the mechanical interaction at the skin–orthosis interface is essential for designing assistive devices that are safe and comfortable under high mechanical loads. However, in vivo characterization of these interactions remains limited, as existing approaches do not provide distributed…
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Journal Article
Inter-sensor fractional-order distance derived from in-ear dual photoplethysmography correlates with pulse pressure in supine conditions: a pilot study
Photoplethysmography (PPG) enables wearable, cuffless blood pressure monitoring. However, the relationship between PPG morphology and blood pressure is confounded by factors such as contact state and venous pooling, limiting interpretability and accuracy—particularly for pulse pressure. We…
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Journal Article
Advancements in sustainable bioprinting: Materials, challenges and opportunities in transition from 3D to 4D printing
Bioprinting has emerged as a transformative technology in regenerative medicine, tissue engineering, and biomedical research by enabling the precise fabrication of biologically functional constructs. Recent developments have driven a paradigm shift from conventional three-dimensional (3D)…
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Journal Article
Multimodal EMG–IMU sensor fusion with dual-output LSTM for fatigue estimation during neonatal chest compressions
Background: During neonatal cardiopulmonary resuscitation (NCPR), rescuer fatigue develops rapidly and compromises compression quality. Conventional feedback systems infer fatigue indirectly from mechanics (depth/rate) and may miss early neuromuscular changes. Objective: To develop and evaluate a…
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Journal Article
Classification of PSQA outcomes in prostate VMAT treatments: a comparative study of machine learning models
Objective: The present study aimed to construct and compare machine learning (ML) models for classifying patient-specific quality assurance (PSQA) outcomes in prostate volumetric modulated arc therapy (VMAT) treatment. Methods: A total of 1247 prostate VMAT plans were retrospectively analyzed and…
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Journal Article
Biomedical applications of advanced textiles: From wound healing to wearable health monitoring systems
The blending of textile engineering with biomedical science has led to some pretty amazing textiles that are changing the game in healthcare. These innovative materials combine flexibility, breathability, and the ability to adapt structurally, along with biological and electronic features, which…
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Journal Article
Transverse impacts on long bones: A systematic study
Background and Objective: Despite advancements in modeling bone impact behavior, gaps remain in integrating soft tissue effects and developing comprehensive material models for low-velocity impacts. This study addresses these gaps by developing and validating a finite element model in LS-DYNA to…
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Journal Article
Enhanced multiclass blood cell classification using contourlet transform and metaheuristic-optimized deep features with clustering-based decision making
Accurate classification of white blood cells (WBCs) is critical for the diagnosis of hematological disorders. This paper presents a novel hybrid framework that integrates multi-scale feature extraction, deep learning, metaheuristic optimization, and clustering-based decision making for robust…
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Journal Article
A systematic review of automated temporal bone segmentation methods
The temporal bone is a complex anatomical structure crucial for otologic and neurotologic procedures. Accurate segmentation of the temporal bone from computed tomography (CT) and magnetic resonance imaging (MRI) is essential for surgical planning, pathology assessment, and computational modeling…
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Journal Article
KbFL-XAI: Explainable knowledge-based federated learning for eye disease diagnosis
Eye diseases such as cataracts, glaucoma, macular degeneration, and diabetic retinopathy significantly impair vision and quality of life, particularly in aging populations, and pose substantial socio-economic challenges. Accurate and timely diagnosis is crucial for mitigating their impact. Deep…
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Journal Article
OMG-RL: Offline Model-based Guided Reward Learning for heparin treatment
Accurate medication dosing plays a critical role in the therapeutic process. Recent studies have investigated the application of Reinforcement Learning (RL) to optimize administration strategies. In RL, the definition of a reward function is indispensable; however, reliance on a limited set of…
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Journal Article
Machine learning based radiomics analysis of SPECT images in predicting neuroendocrine tumors
Purpose: Over the past few decades, the prevalence of neuroendocrine tumors (NETs) has significantly increased. Current pathological assessment methods often rely on invasive procedures. This study aims to develop machine learning (ML)-based radiomics models using SPECT images to predict grade 1…
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Journal Article
Remineralization of demineralized teeth enamel with nHAp and nHAp-NaF-PEO nanocomposite
Teeth enamel, composed of calcium and phosphorus, becomes demineralized in contact with beverages and food. The essential component of teeth, enamel, can be remineralized with the use of nano-hydroxyapatite (nHAp) alone or in a solution consisting of nHAp, sodium fluoride (NaF), and polyethylene…