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Computer Methods in Bio-mechanics and Biomedical Engineering

Submission Deadline: 30 October 2019 (closed) View: 321

Guest Editors

Professor Lulu Wang, Shenzhen Technology University, China
Professor Xiaoning Jiang, North Carolina State University
Professor Lindong Yu, Hefei University of Technology
Professor Linxia Gu, University of Nebraska-Lincoln

Summary

This special issue focuses on the implementation of various engineering principles in the conception, design, development, analysis and operation of biomedical and biotechnological systems and applications. The special issue aims to promote solutions of excellence for biomedical data and establishes links among engineers, researchers, and clinicians. 


This special issue offers a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to bio-mechanics and biomedical technologies, including, but not limited to:
1. Computational Modeling in Biomedical Applications
2. Computer Aided Diagnosis, Surgery, Therapy and Treatment
3. Data Processing and Analysis
4. Injury and Damage Bio-mechanics
5. Vibration and Acoustics in Biomedical Applications
6. Biomedical Imaging, Therapy and Tissue Characterization
7. Biomaterials and Tissue: Modelling, Synthesis, Fabrication and Characterization
8. Biomedical Devices
9. Dynamics and Control of Biomechanical Systems
10. Clinical Applications of Bioengineering
11. Musculoskeletal and Sports Bio-mechanics
12. Sensors and Actuators
13. Robotics, Rehabilitation
14. Data Processing and Analysis
15. Virtual Reality
16. Visual Data Mining and Knowledge Discovery
17. Software Development for Bio-mechanics and Biomedical Engineering

Keywords

Biomedical imaging; Biomedical Devices; CAD; Biosensors;

Published Papers

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  • Open Access

    ARTICLE

    Turbulent Kinetic Energy of Flow during Inhale and Exhale to Characterize the Severity of Obstructive Sleep Apnea Patient

    W. M. Faizal, C. Y. Khor, Muhammad Nooramin Che Yaakob, N. N. N. Ghazali, M. Z. Zainon, Norliza Binti Ibrahim, Roziana Mohd Razi
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 43-61, 2023, DOI:10.32604/cmes.2023.022716
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract This paper aims to investigate and present the numerical investigation of airflow characteristics using Turbulent Kinetic Energy (TKE) to characterize the upper airway with obstructive sleep apnea (OSA) under inhale and exhale breathing conditions. The importance of TKE under both breathing conditions is that it show an accurate method in expressing the severity of flow in sleep disorder. Computational fluid dynamics simulate the upper airway’s airflow via steady-state Reynolds-averaged Navier-Stokes (RANS) with k–ω shear stress transport (SST) turbulence model. The three-dimensional (3D) airway model is created based on the CT scan images of an actual More >

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    Turbulent Kinetic Energy of Flow during Inhale and Exhale to Characterize the Severity of Obstructive Sleep Apnea Patient

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  • Open Access

    ARTICLE

    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

    Junya Tanehashi, Szuchi Chang, Takahiro Hirosei, Masaki Izawa, Aman Goyal, Ayumi Takahashi, Kazuhito Misaji
    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2287-2306, 2023, DOI:10.32604/cmes.2023.022432
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode, considering the vehicle’s inertial behavior. The comfort of riding in an automobile has been evaluated in recent years on the basis of a subjective sensory evaluation given by the driver. However, reflecting driving sensations in design work to improve ride comfort is abstract in nature and difficult to express theoretically. Therefore, we evaluated the human body’s effects while driving scientifically by quantifying the driver’s behavior while operating the steering wheel and the behavior of the… More >

    Graphic Abstract

    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

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  • Open Access

    ARTICLE

    Prediction of Intrinsically Disordered Proteins Based on Deep Neural Network-ResNet18

    Jie Zhang, Jiaxiang Zhao, Pengchang Xu
    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 905-917, 2022, DOI:10.32604/cmes.2022.019097
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Accurately, reliably and rapidly identifying intrinsically disordered (IDPs) proteins is essential as they often play important roles in various human diseases; moreover, they are related to numerous important biological activities. However, current computational methods have yet to develop a network that is sufficiently deep to make predictions about IDPs and demonstrate an improvement in performance. During this study, we constructed a deep neural network that consisted of five identical variant models, ResNet18, combined with an MLP network, for classification. Resnet18 was applied for the first time as a deep model for predicting IDPs, which allowed More >

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  • Open Access

    ARTICLE

    Fast and Accurate Thoracic SPECT Image Reconstruction

    Afef Houimli, IssamBen Mhamed, Bechir Letaief, Dorra Ben-Sellem
    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 881-904, 2022, DOI:10.32604/cmes.2022.016705
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract In Single-Photon Emission Computed Tomography (SPECT), the reconstructed image has insufficient contrast, poor resolution and inaccurate volume of the tumor size due to physical degradation factors. Generally, nonstationary filtering of the projection or the slice is one of the strategies for correcting the resolution and therefore improving the quality of the reconstructed SPECT images. This paper presents a new 3D algorithm that enhances the quality of reconstructed thoracic SPECT images and reduces the noise level with the best degree of accuracy. The suggested algorithm is composed of three steps. The first one consists of denoising… More >

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    1297

  • Open Access

    ARTICLE

    Identification of Denatured Biological Tissues Based on Improved Variational Mode Decomposition and Autoregressive Model during HIFU Treatment

    Bei Liu, Xian Zhang
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1547-1563, 2022, DOI:10.32604/cmes.2022.018130
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract During high-intensity focused ultrasound (HIFU) treatment, the accurate identification of denatured biological tissue is an important practical problem. In this paper, a novel method based on the improved variational mode decomposition (IVMD) and autoregressive (AR) model was proposed, which identified denatured biological tissue according to the characteristics of ultrasonic scattered echo signals during HIFU treatment. Firstly, the IVMD method was proposed to solve the problem that the VMD reconstruction signal still has noise due to the limited number of intrinsic mode functions (IMF). The ultrasonic scattered echo signals were reconstructed by the IVMD to achieve… More >

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    1256

  • Open Access

    ARTICLE

    Adaptive Virtual Source Imaging Using the Sequence Intensity Factor: Simulation and Experimental Study

    Chichao Zheng, Yazhong Wang, Yadan Wang, Qing He, Hu Peng
    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 397-413, 2022, DOI:10.32604/cmes.2022.016308
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Virtual source (VS) imaging has been proposed to improve image resolution in medical ultrasound imaging. However, VS obtains a limited contrast due to the non-adaptive delay-and-sum (DAS) beamforming. To improve the image contrast and provide an enhanced resolution, adaptive weighting algorithms were applied in VS imaging. In this paper, we proposed an adjustable generalized coherence factor (aGCF) for the synthetic aperture sequential beamforming (SASB) of VS imaging to improve image quality. The value of aGCF is adjusted by a sequence intensity factor (SIF) that is defined as the ratio between the effective low resolution scan More >

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    1225

  • Open Access

    ARTICLE

    Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods

    Lejun Gong, Xingxing Zhang, Li Zhang, Zhihong Gao
    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 31-45, 2021, DOI:10.32604/cmes.2021.016622
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Novel coronavirus disease 2019 (COVID-19) is an ongoing health emergency. Several studies are related to COVID-19. However, its molecular mechanism remains unclear. The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods. This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning. The method obtains seed genes based on prior knowledge. Candidate genes are mined from biomedical literature. The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate More >

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    2427

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    1633

  • Open Access

    ARTICLE

    Implementing Delay Multiply and Sum Beamformer on a Hybrid CPU-GPU Platform for Medical Ultrasound Imaging Using OpenMP and CUDA

    Ke Song, Paul Liu, Dongquan Liu
    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1133-1150, 2021, DOI:10.32604/cmes.2021.016008
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract A novel beamforming algorithm named Delay Multiply and Sum (DMAS), which excels at enhancing the resolution and contrast of ultrasonic image, has recently been proposed. However, there are nested loops in this algorithm, so the calculation complexity is higher compared to the Delay and Sum (DAS) beamformer which is widely used in industry. Thus, we proposed a simple vector-based method to lower its complexity. The key point is to transform the nested loops into several vector operations, which can be efficiently implemented on many parallel platforms, such as Graphics Processing Units (GPUs), and multi-core Central… More >

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    2470

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    2447

  • Open Access

    ARTICLE

    Bioprosthetic Valve Size Selection to Optimize Aortic Valve Replacement Surgical Outcome: A Fluid-Structure Interaction Modeling Study

    Caili Li, Dalin Tang, Jing Yao, Christopher Baird, Haoliang Sun, Chanjuan Gong, Luyao Ma, Yanjuan Zhang, Liang Wang, Han Yu, Chun Yang, Yongfeng Shao
    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 159-174, 2021, DOI:10.32604/cmes.2021.014580
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Aortic valve replacement (AVR) remains a major treatment option for patients with severe aortic valve disease. Clinical outcome of AVR is strongly dependent on implanted prosthetic valve size. Fluid-structure interaction (FSI) aortic root models were constructed to investigate the effect of valve size on hemodynamics of the implanted bioprosthetic valve and optimize the outcome of AVR surgery. FSI models with 4 sizes of bioprosthetic valves (19 (No. 19), 21 (No. 21), 23 (No. 23) and 25 mm (No. 25)) were constructed. Left ventricle outflow track flow data from one patient was collected and used as… More >

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    3355

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    2096

  • Open Access

    ARTICLE

    Classifying Abdominal Fat Distribution Patterns by Using Body Measurement Data

    Jingjing Sun, Bugao Xu, Jane Lee, Jeanne H. Freeland-Graves
    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1189-1202, 2021, DOI:10.32604/cmes.2021.014405
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract This study aims to explore new categorization that characterizes the distribution clusters of visceral and subcutaneous adipose tissues (VAT and SAT) measured by magnetic resonance imaging (MRI), to analyze the relationship between the VAT-SAT distribution patterns and the novel body shape descriptors (BSDs), and to develop a classifier to predict the fat distribution clusters using the BSDs. In the study, 66 male and 54 female participants were scanned by MRI and a stereovision body imaging (SBI) to measure participants’ abdominal VAT and SAT volumes and the BSDs. A fuzzy c-means algorithm was used to form… More >

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    2834

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    1775

  • Open Access

    ARTICLE

    An Efficient Algorithm Based on Spectrum Migration for High Frame Rate Ultrasound Imaging

    Shuai Feng, Liu Jin, Yadan Wang, Wei Zhao, Hu Peng, Heyuan Qiao
    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 739-754, 2021, DOI:10.32604/cmes.2021.014027
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract The high frame rate (HFR) imaging technique requires only one emission event for imaging. Therefore, it can achieve ultrafast imaging with frame rates up to the kHz regime, which satisfies the frame rate requirements for imaging moving tissues in scientific research and clinics. Lu’s Fourier migration method is based on a non-diffraction beam to obtain HFR images and can improve computational speed and efficiency. However, in order to obtain high-quality images, Fourier migration needs to make full use of the spectrum of echo signals for imaging, which requires a large number of Fast Fourier Transform… More >

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    3019

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    2127

  • Open Access

    ARTICLE

    ALCencryption: A Secure and Efficient Algorithm for Medical Image Encryption

    Jiao Ge
    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1083-1100, 2020, DOI:10.32604/cmes.2021.013039
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract With the rapid development of medical informatization and the popularization of digital imaging equipment, DICOM images contain the personal privacy of patients, and there are security risks in the process of storage and transmission, so it needs to be encrypted. In order to solve the security problem of medical images on mobile devices, a safe and efficient medical image encryption algorithm called ALCencryption is designed. The algorithm first analyzes the medical image and distinguishes the color image from the gray image. For gray images, the improved Arnold map is used to scramble them according to More >

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    7573

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    2971

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    1

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  • Open Access

    ARTICLE

    Numerical Investigation of an Idealized Total Cavopulmonary Connection Physiology Assisted by the Axial Blood Pump With and Without Diffuser

    Zhenxin Zhao, Tong Chen, Xudong Liu, Shengzhang Wang, Haiyan Lu
    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1173-1184, 2020, DOI:10.32604/cmes.2020.013702
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract In order to improve the surgical treatment of the congenital heart disease patient with single ventricle defect, two axial flow blood pumps, one with diffuser and the other without diffuser, were designed and virtually implanted into an idealized total cavopulmonary connection (TCPC) model to form two types of Pump-TCPC physiological structure. Computational fluid dynamics (CFD) simulations were performed to analyze the variations of the hemodynamic characteristics, such as flow field, wall shear stress (WSS), oscillatory shear index (OSI), relative residence time (RRT), between the two Pump-TCPC models. Numerical results indicate that the Pump-TCPC with diffuser More >

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    2740

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    1934

  • Open Access

    ARTICLE

    Numerical Simulation of Bone Remodeling Coupling the Damage Repair Process in Human Proximal Femur

    Chuanyong Qu, Hui Yuan
    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 829-847, 2020, DOI:10.32604/cmes.2020.012407
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Microdamage is produced in bone tissue under the long-term effects of physiological loading, as well as age, disease and other factors. Bone remodeling can repair microdamage, otherwise this damage will undermine bone quality and even lead to fractures. In this paper, the damage variable was introduced into the remodeling algorithm. The new remodeling algorithm contains a quadratic term that can simulate reduction in bone density after large numbers of loading cycles. The model was applied in conjunction with the 3D finite element method (FEM) to the remodeling of the proximal femur. The results showed that… More >

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    2774

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    2671

  • Open Access

    ARTICLE

    Soft Tissue Deformation Model Based on Marquardt Algorithm and Enrichment Function

    Xiaorui Zhang, Xuefeng Yu, Wei Sun, Aiguo Song
    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1131-1147, 2020, DOI:10.32604/cmes.2020.09735
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract In order to solve the problem of high computing cost and low simulation accuracy caused by discontinuity of incision in traditional meshless model, this paper proposes a soft tissue deformation model based on the Marquardt algorithm and enrichment function. The model is based on the element-free Galerkin method, in which Kelvin viscoelastic model and adjustment function are integrated. Marquardt algorithm is applied to fit the relation between force and displacement caused by surface deformation, and the enrichment function is applied to deal with the discontinuity in the meshless method. To verify the validity of the More >

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    3696

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    2593

  • Open Access

    ARTICLE

    A Geometrical Approach to Compute Upper Limb Joint Stiffness

    Davide Piovesan, Roberto Bortoletto
    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 23-47, 2020, DOI:10.32604/cmes.2020.09231
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Exoskeletons are designed to control the forces exerted during the physical coupling between the human and the machine. Since the human is an active system, the control of an exoskeleton requires coordinated action between the machine and the load so to obtain a reciprocal adaptation. Humans in the control loop can be modeled as active mechanical loads whose stiffness is continuously changing. The direct measurement of human stiffness is difficult to obtain in real-time, thus posing a significant limitation to the design of wearable robotics controllers. Electromyographic (EMG) recordings can provide an indirect estimation of… More >

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    4080

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    2846

  • Open Access

    ARTICLE

    Automatic Sleep Staging Algorithm Based on Random Forest and Hidden Markov Model

    Junbiao Liu, Duanpo Wu, Zimeng Wang, Xinyu Jin, Fang Dong, Lurong Jiang, Chenyi Cai
    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 401-426, 2020, DOI:10.32604/cmes.2020.08731
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract In the field of medical informatics, sleep staging is a challenging and timeconsuming task undertaken by sleep experts. According to the new standard of the American Academy of Sleep Medicine (AASM), the stages of sleep are divided into wakefulness (W), rapid eye movement (REM) and non-rapid eye movement (NREM) which includes three sleep stages (N1, N2 and N3) that describe the depth of sleep. This study aims to establish an automatic sleep staging algorithm based on the improved weighted random forest (WRF) and Hidden Markov Model (HMM) using only the features extracted from double-channel EEG… More >

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    4739

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    3214

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  • Open Access

    ARTICLE

    A Joint Delay-and-Sum and Fourier Beamforming Method for High Frame Rate Ultrasound Imaging

    Wei Zhao, Shuai Feng, Yadan Wang, Yuanguo Wang, Zhihui Han, Hu Peng
    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 427-440, 2020, DOI:10.32604/cmes.2020.09387
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract Frame rate is an important metric for ultrasound imaging systems, and high frame rates (HFR) benefit moving-target imaging. One common way to obtain HFR imaging is to transmit a plane wave. Delay-and-sum (DAS) beamformer is a conventional beamforming algorithm, which is simple and has been widely implemented in clinical application. Fourier beamforming is an alternative method for HFR imaging and has high levels of imaging efficiency, imaging speed, and good temporal dynamic characteristics. Nevertheless, the resolution and contrast performance of HFR imaging based on DAS or Fourier beamforming are insufficient due to the single plane… More >

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  • Open Access

    ARTICLE

    Grading Method for Hypoxic-Ischemic Encephalopathy Based on Neonatal EEG

    Jingmin Guo, Xiu Cheng, Duanpo Wu
    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 721-741, 2020, DOI:10.32604/cmes.2020.07470
    （This article belongs to the Special Issue: Computer Methods in Bio-mechanics and Biomedical Engineering)
    Abstract The grading of hypoxic-ischemic encephalopathy (HIE) contributes to the clinical decision making for neonates with HIE. In this paper, an automated grading method based on electroencephalogram (EEG) data is proposed to describe the severity of HIE infants, namely mild asphyxia, moderate asphyxia and severe asphyxia. The automated grading method is based on a multi-class support vector machine (SVM) classifier, and the input features of SVM classifier include long-term features which are extracted by decomposing the EEG data into different 64 s epoch data and short-term features which are extracted by segmenting the 64 s epoch More >

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    2842

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