Computer Methods in Bio-mechanics and Biomedical Engineering
Submission Deadline: 30 October 2019
(closed)
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
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2287-2306, 2023, DOI:10.32604/cmes.2023.022432
（This article belongs to this 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 automobile while in motion using… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 905-917, 2022, DOI:10.32604/cmes.2022.019097
（This article belongs to this 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 the extraction of information from… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 881-904, 2022, DOI:10.32604/cmes.2022.016705
（This article belongs to this 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 the acquired projections using the… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1547-1563, 2022, DOI:10.32604/cmes.2022.018130
（This article belongs to this 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 denoising. Then, the AR model… More >
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 this 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 lines (LRLs) intensity and total… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.1, pp. 31-45, 2021, DOI:10.32604/cmes.2021.016622
（This article belongs to this 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 genes. Furthermore, the results of… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1133-1150, 2021, DOI:10.32604/cmes.2021.016008
（This article belongs to this 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 Processing Units (CPUs). Consequently, we… More >
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 this 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 model flow conditions. Anisotropic Mooney–Rivlin… More >
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 this 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 the inherent grouping clusters of… More >
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 this 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 (FFT) points and increases the… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1083-1100, 2020, DOI:10.32604/cmes.2021.013039
（This article belongs to this 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 the optimal number of iterations,… More >
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 this 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 has better flow field stability,… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 829-847, 2020, DOI:10.32604/cmes.2020.012407
（This article belongs to this 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 the initial accumulation of fatigue… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1131-1147, 2020, DOI:10.32604/cmes.2020.09735
（This article belongs to this 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
model, the Sensable Phantom Omni… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 23-47, 2020, DOI:10.32604/cmes.2020.09231
（This article belongs to this 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 human muscle force and stiffness,… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 401-426, 2020, DOI:10.32604/cmes.2020.08731
（This article belongs to this 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 signals. The WRF classification model… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.1, pp. 427-440, 2020, DOI:10.32604/cmes.2020.09387
（This article belongs to this 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 wave transmission. To
address this… More >
CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 721-741, 2020, DOI:10.32604/cmes.2020.07470
（This article belongs to this 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 data into 8 s epoch… More >
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