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Journals Computer Methods in Biomechani...

Computer Methods in Biomechanics and Biomedical Engineering

https://read.qxmd.com/read/38384147/a-stroke-prediction-framework-using-explainable-ensemble-learning
#21
JOURNAL ARTICLE
Mostarina Mitu, S M Mahedy Hasan, Md Palash Uddin, Md Al Mamun, Venkatesan Rajinikanth, Seifedine Kadry
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut off, resulting in a stroke. Early recognition of stroke symptoms is essential to prevent strokes and promote a healthy lifestyle. FAST tests (looking for abnormalities in the face, arms, and speech) have limitations in reliability and accuracy for diagnosing strokes. This research employs machine learning (ML) techniques to develop and assess multiple ML models to establish a robust stroke risk prediction framework...
February 21, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38375638/enhancing-drug-discovery-in-schizophrenia-a-deep-learning-approach-for-accurate-drug-target-interaction-prediction-drugschizonet
#22
JOURNAL ARTICLE
Sherine Glory J, Durgadevi P, Ezhumalai P
Drug discovery relies on the precise prognosis of drug-target interactions (DTI). Due to their ability to learn from raw data, deep learning (DL) methods have displayed outstanding performance over traditional approaches. However, challenges such as imbalanced data, noise, poor generalization, high cost, and time-consuming processes hinder progress in this field. To overcome the above challenges, we propose a DL-based model termed DrugSchizoNet for drug interaction (DI) prediction of Schizophrenia. Our model leverages drug-related data from the DrugBank and repoDB databases, employing three key preprocessing techniques...
February 20, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38372236/computer-model-of-non-newtonian-canalicular-fluid-flow-in-lacunar-canalicular-system-of-bone-tissue
#23
JOURNAL ARTICLE
Rakesh Kumar
Brittle bone diseases are a global healthcare problem for orthopaedic clinicians, that reduces bone strength and promotes bone fracture risk. In vivo studies reported that loading-induced fluid flow through the lacunar-canalicular channel (LCS) of bone tissue inhibit such bone loss and encourages osteogenesis i.e. new bone formation. Canalicular fluid flow converts mechanical signals into biological signals and regulates bone reconstruction by releasing signalling molecules responsible for mechanotransduction...
February 19, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38372231/a-multi-branch-convolutional-neural-network-for-snoring-detection-based-on-audio
#24
JOURNAL ARTICLE
Hao Dong, Haitao Wu, Guan Yang, Junming Zhang, Keqin Wan
Obstructive sleep apnea (OSA) is associated with various health complications, and snoring is a prominent characteristic of this disorder. Therefore, the exploration of a concise and effective method for detecting snoring has consistently been a crucial aspect of sleep medicine. As the easily accessible data, the identification of snoring through sound analysis offers a more convenient and straightforward method. The objective of this study was to develop a convolutional neural network (CNN) for classifying snoring and non-snoring events based on audio...
February 19, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38357717/effects-of-various-cross-linked-collagen-scaffolds-on-wound-healing-in-rats-model-by-deep-learning-cnn
#25
JOURNAL ARTICLE
Chih-Tsung Chang, Chun-Hui Huang
Scar tissue is connective tissue formed on the wound during the wound-healing process. The most significant distinction between scar tissue and normal tissue is the appearance of covalent cross-linking and the amount of collagen fibers in the tissue. This study investigates the efficacy of four types of collagen scaffolds in promoting wound healing and regeneration in a Sprague-Dawley murine model-the histomorphology analysis of collagen scaffolds and developing a deep learning model for accurate tissue classification...
February 15, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38340022/multimodal-sentiment-analysis-leveraging-the-strength-of-deep-neural-networks-enhanced-by-the-xgboost-classifier
#26
JOURNAL ARTICLE
Ganesh Chandrasekaran, S Dhanasekaran, C Moorthy, A Arul Oli
Multimodal sentiment analysis, an increasingly vital task in the realms of natural language processing and machine learning, addresses the nuanced understanding of emotions and sentiments expressed across diverse data sources. This study presents the Hybrid LXGB (Long short-term memory Extreme Gradient Boosting) Model, a novel approach for multimodal sentiment analysis that merges the strengths of long short-term memory (LSTM) and XGBoost classifiers. The primary objective is to address the intricate task of understanding emotions across diverse data sources, such as textual data, images, and audio cues...
February 10, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38339988/exploring-uncertainty-in-hyper-viscoelastic-properties-of-scalp-skin-through-patient-specific-finite-element-models-for-reconstructive-surgery
#27
JOURNAL ARTICLE
Gyohyeon Song, Arun K Gosain, Adrian Buganza Tepole, Kyehan Rhee, Taeksang Lee
Understanding skin responses to external forces is crucial for post-cutaneous flap wound healing. However, the in vivo viscoelastic behavior of scalp skin remains poorly understood. Personalized virtual surgery simulations offer a way to study tissue responses in relevant 3D geometries. Yet, anticipating wound risk remains challenging due to limited data on skin viscoelasticity, which hinders our ability to determine the interplay between wound size and stress levels. To bridge this gap, we reexamine three clinical cases involving scalp reconstruction using patient-specific geometric models and employ uncertainty quantification through a Monte Carlo simulation approach to study the effect of skin viscoelasticity on the final stress levels from reconstructive surgery...
February 10, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38328932/machine-learning-based-prediction-of-hip-joint-moment-in-healthy-subjects-patients-and-post-operative-subjects
#28
JOURNAL ARTICLE
Mattia Perrone, Steven P Mell, John Martin, Shane J Nho, Philip Malloy
The application of machine learning in the field of motion capture research is growing rapidly. The purpose of the study is to implement a long-short term memory (LSTM) model able to predict sagittal plane hip joint moment (HJM) across three distinct cohorts (healthy controls, patients and post-operative patients) starting from 3D motion capture and force data. Statistical parametric mapping with paired samples t -test was performed to compare machine learning and inverse dynamics HJM predicted values, with the latter used as gold standard...
February 8, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38328832/hybrid-computational-model-depicts-the-contribution-of-non-significant-lobes-of-human-brain-during-the-perception-of-emotional-stimuli
#29
JOURNAL ARTICLE
Raghavendra Prasad, Shashikanta Tarai, Arindam Bit
Emotions are synchronizing responses of human brain while executing cognitive tasks. Earlier studies had revealed strong correlation between specific lobes of the brain to different types of emotional valence. In the current study, a comprehensive three-dimensional mapping of human brain for executing emotion specific tasks had been formulated. A hybrid computational machine learning model customized from Custom Weight Allocation Model (CWAM) and defined as Custom Rank Allocation Model (CRAM). This regression-based hybrid computational model computes the allocated tasks to different lobes of the brain during their respective executive stage...
February 8, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38323804/hemodynamics-in-arterial-bypass-graft-anastomoses-with-varying-cuff-sizes-and-proximal-flow-paths-a-fluid-structure-interaction-study
#30
JOURNAL ARTICLE
Georgios Bletsos, Thomas Rung, Lars Radtke
This article investigates the effect of the cuff size of arterial bypass grafts and the flow conditions on the hemodynamics in the anastomosis (connection) to the artery, using numerical simulations. We consider a fluid-structure interaction problem which is solved based on a partitioned scheme. Additionally, we employ computational fluid dynamics to investigate the effect of a rigid wall assumption. The work focuses on clinically relevant hemodynamic quantities associated with the development of intimal hyperplasia...
February 7, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38321971/traveling-wave-solution-and-the-stability-of-critical-points-of-an-enzyme-inhibitor-system-under-diffusion-effects-with-special-reference-to-dimer-molecule
#31
JOURNAL ARTICLE
Roohi Bhat, M A Khanday
Enzymes are absolutely essential biological catalysts in human body that catalyze all cellular processes in physiological network. However, there are certain low molecular weight chemical compounds known as inhibitors, that reduce or completely inhibit the enzyme catalytic activity. Mathematical modeling plays a key role in the control and stability of metabolic enzyme inhibition. Enzyme stability is an important issue for protein engineers, because of its great importance and impact on optimal utility of material in biological tissues...
February 7, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38319123/an-interaction-model-for-predicting-brace-migration-and-validation-through-walking-experiment
#32
JOURNAL ARTICLE
Yuzhou Yan, Mengzhao Cao, Bing Han, Hui Li, Geng Liu
Brace migration undermines therapeutic efficacy, which is traditionally evaluated through walking experiments. This study developed an interaction model that considered the instantaneous center of rotation (ICR) misalignment to predict migration. The model was validated by walking experiment. Results show a strong positive correlation for four-linkage (FL) ( r  = 0.952, p  < 0.01, root mean squared error (RMSE) = 0.53 mm) and spur gear (SG) ( r  = 0.898, p  < 0...
February 6, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38317625/exploring-the-extension-quantities-of-a-medial-collateral-ligament-pie-crusting-model-using-a-finite-element-method
#33
JOURNAL ARTICLE
Shogo Matsuda, Masashi Hirakawa, Yu Nagashima, Hiroya Akase, Nobuhiro Kaku, Hiroshi Tsumura
Medial collateral ligament (MCL) pie-crusting can balance the soft tissue during total knee arthroplasty but requires more studies with the finite element method (FEM). We have developed three models of MCL pie-crusting utilizing FEM, treating the MCL in the following ways: (1) as a singular elastic body with both ends attached to the bone (model A), (2) as 19 bundled elastic bodies, each attached to both ends of the bone (model B), and (3) as 19 bundled elastic bodies with an adhesive component in the gap, attached to both ends of the bone (model C)...
February 6, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38317606/vibration-modes-of-three-dimensional-spiral-cochlea-covering-the-organ-of-corti
#34
JOURNAL ARTICLE
Mianzhi Wang, Jiakun Wang, Junyi Liang, Wenjuan Yao
So far, explaining the mechanism on active phonosensitive amplification in the cochlea is a major and difficult medical question. Among them, one of the key problems is that the motion pattern of the organ of Corti (OC) is still unknown. To this end, a multi-scale cochlear model including a three-dimensional spiral OC was established based on CT data and light source imaging experimental data, which complete combined the macroscopic and microscopic structure. On the basis of verifying the reliability of the model, acoustic-solid coupling calculation and modal analysis were performed on the model, and the vibration modes of basilar membrane (BM) and structures of the OC at different characteristic frequencies were discussed...
February 6, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38317414/classification-of-emg-signals-with-cnn-features-and-voting-ensemble-classifier
#35
JOURNAL ARTICLE
M Emimal, W Jino Hans, T M Inbamalar, N Mahiban Lindsay
Electromyography (EMG) signals are primarily used to control prosthetic hands. Classifying hand gestures efficiently with EMG signals presents numerous challenges. In addition to overcoming these challenges, a successful combination of feature extraction and classification approaches will improve classification accuracy. In the current work, convolutional neural network (CNN) features are used to reduce the redundancy problems associated with time and frequency domain features to improve classification accuracy...
February 5, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38314513/mavgae-a-multimodal-framework-for-predicting-asymmetric-drug-drug-interactions-based-on-variational-graph-autoencoder
#36
JOURNAL ARTICLE
Zengqian Deng, Jie Xu, Yinfei Feng, Liangcheng Dong, Yuanyuan Zhang
Drug-drug interactions refer to the phenomena wherein the potency, duration, or effectiveness of one or multiple drugs undergo alterations of varying degrees as a result of their concurrent or sequential usage. The accurate identification of potential drug interactions plays a pivotal role in mitigating the risks associated with drug administration in patients, it also helps in minimizing the likelihood of hazardous situations arising during a patient's course of treatment. However, researchers have found that there is a problem of asymmetric drug interactions, where one drug may affect another but not vice versa...
February 5, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38303646/estimating-intracranial-parameters-using-an-inverse-mathematical-model-with-viscoelastic-elements-that-closely-predicts-complex-icp-morphologies
#37
JOURNAL ARTICLE
Abed Nassir, Guy Rosenthal, Yuliya Zadka, Saadit Houri, Omer Doron, Ofer Barnea
The quantitative relationship between arterial blood pressure (ABP) and intracranial pressure (ICP) waveforms has not been adequately explained. We hypothesized that the ICP waveform results from interferences between propagating and reflected pressure waves occurring in the cranium following the initiating arterial waveform. To demonstrate cranial effects on interferences between waves and generation of an ICP waveform morphology, we modified our previously reported mathematical model to include viscoelastic elements that affect propagation velocity...
February 2, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38297822/impact-of-hematocrit-on-pulsatile-blood-flow-in-stenosed-arteries-a-computational-study-in-healthy-diabetic-and-anemic-models
#38
JOURNAL ARTICLE
Badreddine Behir, Abdelhakim Benslimane, Hamza Mehdaoui, Boukhari Mehdi
In this study, researchers aim to enhance the realism of circulatory system simulations, focusing on factors affecting flow variations, particularly in stenotic arteries of individuals with altered hematocrit levels. Through extensive data collection and varied conditions, the goal is to attain more precise and valid results. The study conducts approximate simulations to comprehensively describe the dynamic motion of pulsatile flow. Different values of inlet velocity (UDF) are introduced, considering potential arterial distortion or occlusion due to plaque deposition, along with variations in hematocrit (Hct) levels commonly observed in patients...
January 31, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38293739/pull-out-resistance-of-connected-k-wires-for-osteosynthesis-development-of-a-numerical-model
#39
JOURNAL ARTICLE
Samuel Berthe, Nadia Bahlouli, Massamaesso Bilasse, Philippe Liverneaux
A predictive finite element model was developed to investigate the best configuration of a fixation pins system consisting of two K-wires inserted in a synthetic model (Sawbones® ) at different angles and secured to a connecting rod. Two key parameters were considered to determine the best configuration delivering the higher pull-out strength and lower pull-out length: the diameter and insertion angle. Results show that as the diameter and insertion angle increased, the pull-out force increased, while the pull-out length decreased...
January 31, 2024: Computer Methods in Biomechanics and Biomedical Engineering
https://read.qxmd.com/read/38293723/an-eeg-monitoring-method-based-on-compressed-sensing-for-fatigue-driving
#40
JOURNAL ARTICLE
Zengnian Xin
In order to reduce the amount of EEG collected by the fatigue driving monitoring system, this paper proposes a new EEG monitoring method based on compressed sensing. According to the driver's driving duration, the new proposed method adopts different sampling rate to compressive sample the EEG of the driver in different driving stages, and then realizes the accurate reconstruction of the compressed EEG data in the computer of vehicle. The experiment verifies effectiveness of the proposed method by collecting EEG signals from multiple subjects during simulated driving...
January 31, 2024: Computer Methods in Biomechanics and Biomedical Engineering
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