Computer Methods in Biomechanics and Biomedical Engineering 
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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.Fluid-solid coupling numerical simulation of entire rat caudal vertebrae under dynamic loading
In this study, a fluid-solid coupling model of the entire vertebral bone was established based on micro-CT images obtained from rat tail vertebrae subjected to tensile loading experiments. The flow characteristics of bone marrow and the mechanical response of osteocytes in different regions under physiological loading were investigated. The results revealed a U-shaped distribution of wall fluid shear stress (FSS) along the longitudinal axis in trabecular bone, with higher FSS regions exhibiting greater mechanical stimulation on osteocytes. These findings elucidate a positive correlation between the mechanical microenvironm...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 17, 2024 Category: Biomedical Engineering Authors: Sen Zhao Yan Gao Ailing Yang Xianzhi Gao Huijie Leng Lianwen Sun Bo Huo Source Type: research
CNN-based diagnosis model of children's bladder compliance using a single intravesical pressure signal
In this study, We constructed a dataset based on UDS and designed a 1D-CNN model to optimize and train the network. Then applied the trained model to a dataset obtained solely through a proposed perfusion experiment. Our model outperformed other algorithms. The results demonstrate the potential of our model to alert abnormal bladder compliance accurately and efficiently.PMID:38193146 | DOI:10.1080/10255842.2023.2301414 (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Gang Yuan Zicong Ge Jian Zheng Xiangming Yan Mingcui Fu Ming Li Xiaodong Yang Liangfeng Tang Source Type: research
A time segment adaptive optimization method based on separability criterion and correlation analysis for motor imagery BCIs
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-14. doi: 10.1080/10255842.2023.2301421. Online ahead of print.ABSTRACTMotor imagery (MI) plays a crucial role in brain-computer interface (BCI), and the classification of MI tasks using electroencephalogram (EEG) is currently under extensive investigation. During MI classification, individual differences among subjects in terms of response and time latency need to be considered. Optimizing the time segment for different subjects can enhance subsequent classification performance. In view of the individual differences of subjects in motor imagery tasks, this article proposes ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Lei Zhu Mengxuan Xu Jieping Zhu Aiai Huang Jianhai Zhang Source Type: research
A pooling convolution model for multi-classification of ECG and PCG signals
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-14. doi: 10.1080/10255842.2023.2299697. Online ahead of print.ABSTRACTElectrocardiogram (ECG) and phonocardiogram (PCG) signals are physiological signals generated throughout the cardiac cycle. The application of deep learning techniques to recognize ECG and PCG signals can greatly enhance the efficiency of cardiovascular disease detection. Therefore, we propose a series of straightforward and effective pooling convolutional models for the multi-classification of ECG and PCG signals. Initially, these signals undergo preprocessing. Subsequently, we design various structural ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Juliang Wang Junbin Zang Qi An Haoxin Wang Zhidong Zhang Source Type: research
Estimating tongue deformation during laryngoscopy using a hybrid FEM-multibody model and intraoperative tracking - a cadaver study
We report our first empirical study, based on four trials of a cadaveric head specimen with full neck anatomy, yields a mean TLE of 10.8 ± 5.5 mm, demonstrating methodological feasibility.PMID:38193213 | DOI:10.1080/10255842.2023.2301672 (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Xiaotian Wu C Antonio S ánchez John E Lloyd Heather Borgard Sidney Fels Joseph A Paydarfar Ryan J Halter Source Type: research
Classification method of traditional Chinese medicine compound decoction duration based on multi-dimensional feature weighted fusion
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-15. doi: 10.1080/10255842.2024.2302225. Online ahead of print.ABSTRACTThis paper extends a text classification method utilizing natural language processing (NLP) into the field of traditional Chinese medicine (TCM) compound decoction to effectively and scientifically extend the TCM compound decoction duration. Specifically, a TCM compound decoction duration classification named TCM-TextCNN is proposed to fuse multi-dimensional herb features and improve TextCNN. Indeed, first, we utilize word vector technology to construct feature vectors of herb names and medicinal parts, a...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Zhibiao Li Huayong Zhao Genhua Zhu Jianqiang Du Zhenfeng Wu Zhicheng Jiang Yiwen Li Source Type: research
CNN-based diagnosis model of children's bladder compliance using a single intravesical pressure signal
In this study, We constructed a dataset based on UDS and designed a 1D-CNN model to optimize and train the network. Then applied the trained model to a dataset obtained solely through a proposed perfusion experiment. Our model outperformed other algorithms. The results demonstrate the potential of our model to alert abnormal bladder compliance accurately and efficiently.PMID:38193146 | DOI:10.1080/10255842.2023.2301414 (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Gang Yuan Zicong Ge Jian Zheng Xiangming Yan Mingcui Fu Ming Li Xiaodong Yang Liangfeng Tang Source Type: research
A time segment adaptive optimization method based on separability criterion and correlation analysis for motor imagery BCIs
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-14. doi: 10.1080/10255842.2023.2301421. Online ahead of print.ABSTRACTMotor imagery (MI) plays a crucial role in brain-computer interface (BCI), and the classification of MI tasks using electroencephalogram (EEG) is currently under extensive investigation. During MI classification, individual differences among subjects in terms of response and time latency need to be considered. Optimizing the time segment for different subjects can enhance subsequent classification performance. In view of the individual differences of subjects in motor imagery tasks, this article proposes ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Lei Zhu Mengxuan Xu Jieping Zhu Aiai Huang Jianhai Zhang Source Type: research
A pooling convolution model for multi-classification of ECG and PCG signals
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-14. doi: 10.1080/10255842.2023.2299697. Online ahead of print.ABSTRACTElectrocardiogram (ECG) and phonocardiogram (PCG) signals are physiological signals generated throughout the cardiac cycle. The application of deep learning techniques to recognize ECG and PCG signals can greatly enhance the efficiency of cardiovascular disease detection. Therefore, we propose a series of straightforward and effective pooling convolutional models for the multi-classification of ECG and PCG signals. Initially, these signals undergo preprocessing. Subsequently, we design various structural ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Juliang Wang Junbin Zang Qi An Haoxin Wang Zhidong Zhang Source Type: research
Estimating tongue deformation during laryngoscopy using a hybrid FEM-multibody model and intraoperative tracking - a cadaver study
We report our first empirical study, based on four trials of a cadaveric head specimen with full neck anatomy, yields a mean TLE of 10.8 ± 5.5 mm, demonstrating methodological feasibility.PMID:38193213 | DOI:10.1080/10255842.2023.2301672 (Source: Computer Methods in Biomechanics and Biomedical Engineering)
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Xiaotian Wu C Antonio S ánchez John E Lloyd Heather Borgard Sidney Fels Joseph A Paydarfar Ryan J Halter Source Type: research
Classification method of traditional Chinese medicine compound decoction duration based on multi-dimensional feature weighted fusion
Comput Methods Biomech Biomed Engin. 2024 Jan 9:1-15. doi: 10.1080/10255842.2024.2302225. Online ahead of print.ABSTRACTThis paper extends a text classification method utilizing natural language processing (NLP) into the field of traditional Chinese medicine (TCM) compound decoction to effectively and scientifically extend the TCM compound decoction duration. Specifically, a TCM compound decoction duration classification named TCM-TextCNN is proposed to fuse multi-dimensional herb features and improve TextCNN. Indeed, first, we utilize word vector technology to construct feature vectors of herb names and medicinal parts, a...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Zhibiao Li Huayong Zhao Genhua Zhu Jianqiang Du Zhenfeng Wu Zhicheng Jiang Yiwen Li Source Type: research
Revolutionizing Breast Cancer Care: AI-Enhanced Diagnosis and Patient History
This study presents a holistic approach that harnesses the power of artificial intelligence (AI) and machine learning (ML) to address these pressing needs. This study presents a comprehensive methodology for breast cancer diagnosis and medical history generation, integrating data collection, feature extraction, machine learning, and AI-driven history-taking. The research employs a systematic approach to ensure accurate diagnosis and efficient history collection. Data preprocessing merges similar attributes to streamline analysis. Three key algorithms, Support Vector Machine (SVM), K-Nearest Neighbours (KNN), and Fuzzy Logi...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 5, 2024 Category: Biomedical Engineering Authors: Maleeha Fathima Mohammed Moulana Source Type: research
A transcutaneous acupoint electrical simulation glove for relieving the mental fatigue of crane drivers in real building environment
In this study, non-periodic transcutaneous acupoint electrical stimulation (NPTAES) was used to stimulate human acupuncture points. This is different from the traditional periodic transcutaneous acupoint electrical stimulation (PTAES) method for relieving mental fatigue. In addition, this study used hilbert marginal spectral entropy (HMSE) to calculate the heart rate variability (HRV) characteristics of the subjects, so as to detect and analyze the driving fatigue of the drivers. At the same time, the drivers' blinking frequency and electroencephalogram (EEG) characteristics were analyzed comprehensively. The results show ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 5, 2024 Category: Biomedical Engineering Authors: Fuwang Wang Daping Chen Xiaolei Zhang Source Type: research
Mechanical property of Ti6Al4V cylindrical porous structure for dental implants fabricated by selective laser melting
Comput Methods Biomech Biomed Engin. 2024 Jan 4:1-19. doi: 10.1080/10255842.2023.2300686. Online ahead of print.ABSTRACTThe commonly used titanium alloy dental implants currently apply solid structures. However, issues such as stress shielding and stress concentration may arise due to the significant difference in elastic modulus between the implant and host. In order to address these problems, this paper proposes five porous structures based on the Gibson-Ashby theoretical model. We utilized selective laser melting technology to shape a porous structure using Ti-6Al-4V material precisely. The mechanical properties of the ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 5, 2024 Category: Biomedical Engineering Authors: Yun Zhai Hao Zhang Tong Liu Cong Zou Changchun Zhou Source Type: research
Revolutionizing Breast Cancer Care: AI-Enhanced Diagnosis and Patient History
This study presents a holistic approach that harnesses the power of artificial intelligence (AI) and machine learning (ML) to address these pressing needs. This study presents a comprehensive methodology for breast cancer diagnosis and medical history generation, integrating data collection, feature extraction, machine learning, and AI-driven history-taking. The research employs a systematic approach to ensure accurate diagnosis and efficient history collection. Data preprocessing merges similar attributes to streamline analysis. Three key algorithms, Support Vector Machine (SVM), K-Nearest Neighbours (KNN), and Fuzzy Logi...
Source: Computer Methods in Biomechanics and Biomedical Engineering - January 5, 2024 Category: Biomedical Engineering Authors: Maleeha Fathima Mohammed Moulana Source Type: research
