Computer Methods in Biomechanics and Biomedical Engineering This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Effects of various cross-linked collagen scaffolds on wound healing in rats model by deep-learning CNN
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. Four female rats (n = 24) groups received collagen scaffolds prepared through physical and chemical crosslinking. Wound healing progress was evaluated by monitoring granulation tissue formation, collagen matrix organization, and collagen fiber deposition, with histological scoring for quantification-the EDC and HA groups demonstrated enhanced tissue rege...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 15, 2024 Category: Biomedical Engineering Authors: Chih-Tsung Chang Chun-Hui Huang Source Type: research

Exploring uncertainty in hyper-viscoelastic properties of scalp skin through patient-specific finite element models for reconstructive surgery
Comput Methods Biomech Biomed Engin. 2024 Feb 10:1-15. doi: 10.1080/10255842.2024.2313067. Online ahead of print.ABSTRACTUnderstanding 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 thr...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 10, 2024 Category: Biomedical Engineering Authors: Gyohyeon Song Arun K Gosain Adrian Buganza Tepole Kyehan Rhee Taeksang Lee Source Type: research

Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier
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. By leveraging the capabilities of deep learning and gradient boosting, the Hybrid LXGB Model achieves an exceptional accuracy of 97.18% on the CMU-MOSEI dataset, surpassing alternative classifiers, including LSTM, CNN, DNN, and XGBoost. This stu...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 10, 2024 Category: Biomedical Engineering Authors: Ganesh Chandrasekaran S Dhanasekaran C Moorthy A Arul Oli Source Type: research

Hybrid computational model depicts the contribution of non-significant lobes of human brain during the perception of emotional stimuli
Comput Methods Biomech Biomed Engin. 2024 Feb 8:1-27. doi: 10.1080/10255842.2024.2311876. Online ahead of print.ABSTRACTEmotions 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 regres...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 8, 2024 Category: Biomedical Engineering Authors: Raghavendra Prasad Shashikanta Tarai Arindam Bit Source Type: research

Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects
Comput Methods Biomech Biomed Engin. 2024 Feb 8:1-5. doi: 10.1080/10255842.2024.2310732. Online ahead of print.ABSTRACTThe 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...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 8, 2024 Category: Biomedical Engineering Authors: Mattia Perrone Steven P Mell John Martin Shane J Nho Philip Malloy Source Type: research

Traveling wave solution and the stability of critical points of an enzyme-inhibitor system under diffusion effects: with special reference to dimer molecule
Comput Methods Biomech Biomed Engin. 2024 Feb 7:1-7. doi: 10.1080/10255842.2024.2311321. Online ahead of print.ABSTRACTEnzymes 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 ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 7, 2024 Category: Biomedical Engineering Authors: Roohi Bhat M A Khanday Source Type: research

Hemodynamics in arterial bypass graft anastomoses with varying cuff sizes and proximal flow paths: a fluid-structure interaction study
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. We also include a model for the prediction of hemolysis into the simulation. The results show that even min...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 7, 2024 Category: Biomedical Engineering Authors: Georgios Bletsos Thomas Rung Lars Radtke Source Type: research

Classification of EMG signals with CNN features and voting ensemble classifier
Comput Methods Biomech Biomed Engin. 2024 Feb 5:1-15. doi: 10.1080/10255842.2024.2310726. Online ahead of print.ABSTRACTElectromyography (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 ac...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 6, 2024 Category: Biomedical Engineering Authors: M Emimal W Jino Hans T M Inbamalar N Mahiban Lindsay Source Type: research

Vibration modes of three-dimensional spiral cochlea covering the organ of Corti
Comput Methods Biomech Biomed Engin. 2024 Feb 6:1-10. doi: 10.1080/10255842.2024.2313065. Online ahead of print.ABSTRACTSo 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 t...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 6, 2024 Category: Biomedical Engineering Authors: Mianzhi Wang Jiakun Wang Junyi Liang Wenjuan Yao Source Type: research

Exploring the extension quantities of a medial collateral ligament pie-crusting model using a finite element method
Comput Methods Biomech Biomed Engin. 2024 Feb 6:1-8. doi: 10.1080/10255842.2024.2310725. Online ahead of print.ABSTRACTMedial 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...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 6, 2024 Category: Biomedical Engineering Authors: Shogo Matsuda Masashi Hirakawa Yu Nagashima Hiroya Akase Nobuhiro Kaku Hiroshi Tsumura Source Type: research

An interaction model for predicting brace migration and validation through walking experiment
In conclusion, the interaction model accurately predicts migration, emphasizing the influence of mechanism on migration.PMID:38319123 | DOI:10.1080/10255842.2024.2307918 (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 6, 2024 Category: Biomedical Engineering Authors: Yuzhou Yan Mengzhao Cao Bing Han Hui Li Geng Liu Source Type: research

MAVGAE: a multimodal framework for predicting asymmetric drug-drug interactions based on variational graph autoencoder
Comput Methods Biomech Biomed Engin. 2024 Feb 5:1-13. doi: 10.1080/10255842.2024.2311315. Online ahead of print.ABSTRACTDrug-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...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 5, 2024 Category: Biomedical Engineering Authors: Zengqian Deng Jie Xu Yinfei Feng Liangcheng Dong Yuanyuan Zhang Source Type: research

Estimating intracranial parameters using an inverse mathematical model with viscoelastic elements that closely predicts complex ICP morphologies
Comput Methods Biomech Biomed Engin. 2024 Feb 2:1-13. doi: 10.1080/10255842.2024.2308695. Online ahead of print.ABSTRACTThe 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 viscoela...
Source: Computer Methods in Biomechanics and Biomedical Engineering - February 2, 2024 Category: Biomedical Engineering Authors: Abed Nassir Guy Rosenthal Yuliya Zadka Saadit Houri Omer Doron Ofer Barnea Source Type: research