Neural harmony: revolutionizing thyroid nodule diagnosis with hybrid networks and genetic algorithms
Comput Methods Biomech Biomed Engin. 2024 Apr 22:1-18. doi: 10.1080/10255842.2024.2341969. Online ahead of print.ABSTRACTIn the contemporary world, thyroid disease poses a prevalent health issue, particularly affecting women's well-being. Recognizing the significance of maternal thyroid (MT) hormones in fetal neurodevelopment during the first half of pregnancy, this study introduces the HNN-GSO model. This groundbreaking hybrid approach, utilizing the MT dataset, integrates ResNet-50 and Artificial Neural Network (ANN) within a Glow-worm Swarm Optimization (GSO) framework for optimal parameter tuning. With a comprehensive ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 22, 2024 Category: Biomedical Engineering Authors: H Summia Parveen S Karthik Kavitha M S Source Type: research

Tunable < em > Q < /em > -factor wavelet transform based identification of diabetic patients using ECG signals
Comput Methods Biomech Biomed Engin. 2024 Apr 18:1-10. doi: 10.1080/10255842.2024.2342512. Online ahead of print.ABSTRACTDiabetes is a chronic health condition that is characterized by increased levels of glucose (sugar) in the blood. It can have harmful effects on different parts of the body, such as the retina of the eyes, skin, nervous system, kidneys, and heart. Diabetes affects the structure of electrocardiogram (ECG) impulses by causing cardiovascular autonomic dysfunction. Multi-resolution analysis of the input ECG signal is utilized in this paper to develop a machine learning-based system for the automated detectio...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 18, 2024 Category: Biomedical Engineering Authors: Anuja Jain Anurag Verma Amit Kumar Verma Varun Bajaj Source Type: research

Tunable < em > Q < /em > -factor wavelet transform based identification of diabetic patients using ECG signals
Comput Methods Biomech Biomed Engin. 2024 Apr 18:1-10. doi: 10.1080/10255842.2024.2342512. Online ahead of print.ABSTRACTDiabetes is a chronic health condition that is characterized by increased levels of glucose (sugar) in the blood. It can have harmful effects on different parts of the body, such as the retina of the eyes, skin, nervous system, kidneys, and heart. Diabetes affects the structure of electrocardiogram (ECG) impulses by causing cardiovascular autonomic dysfunction. Multi-resolution analysis of the input ECG signal is utilized in this paper to develop a machine learning-based system for the automated detectio...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 18, 2024 Category: Biomedical Engineering Authors: Anuja Jain Anurag Verma Amit Kumar Verma Varun Bajaj Source Type: research

An efficient cardio vascular disease prediction using multi-scale weighted feature fusion-based convolutional neural network with residual gated recurrent unit
Comput Methods Biomech Biomed Engin. 2024 Apr 17:1-25. doi: 10.1080/10255842.2024.2339475. Online ahead of print.ABSTRACTThe cardiovascular disease (CVD) is the dangerous disease in the world. Most of the people around the world are affected by this dangerous CVD. In under-developed countries, the prediction of CVD remains the toughest job and it takes more time and cost. Diagnosing this illness is an intricate task that has to be performed precisely to save the life span of the human. In this research, an advanced deep model-based CVD prediction and risk analysis framework is proposed to minimize the death rate of humans ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 17, 2024 Category: Biomedical Engineering Authors: K Gunasekaran V D Ambeth Kumar K Jayashree Source Type: research

An efficient cardio vascular disease prediction using multi-scale weighted feature fusion-based convolutional neural network with residual gated recurrent unit
Comput Methods Biomech Biomed Engin. 2024 Apr 17:1-25. doi: 10.1080/10255842.2024.2339475. Online ahead of print.ABSTRACTThe cardiovascular disease (CVD) is the dangerous disease in the world. Most of the people around the world are affected by this dangerous CVD. In under-developed countries, the prediction of CVD remains the toughest job and it takes more time and cost. Diagnosing this illness is an intricate task that has to be performed precisely to save the life span of the human. In this research, an advanced deep model-based CVD prediction and risk analysis framework is proposed to minimize the death rate of humans ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 17, 2024 Category: Biomedical Engineering Authors: K Gunasekaran V D Ambeth Kumar K Jayashree Source Type: research

Influence of implant base material on secondary bone healing: an < em > in silico < /em > study
Comput Methods Biomech Biomed Engin. 2024 Apr 13:1-9. doi: 10.1080/10255842.2024.2338121. Online ahead of print.ABSTRACTThe implant material at the fracture site influences fracture healing not only from biological perspective but also from mechanical perspective. Biodegradable implants such as magnesium (Mg) based alloys have shown faster secondary bone healing properties as compared to bioinert implants such as titanium (Ti). The general reasoning behind this is the benefit of Mg from biocompatibility perspectives. We studied the effect of Ti and Mg as base materials for implants from mechanical perspectives, where we fo...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 13, 2024 Category: Biomedical Engineering Authors: Gargi Shankar Nayak Michael Roland Bj örn Wiese Norbert Hort Stefan Diebels Source Type: research

Influence of implant base material on secondary bone healing: an < em > in silico < /em > study
Comput Methods Biomech Biomed Engin. 2024 Apr 13:1-9. doi: 10.1080/10255842.2024.2338121. Online ahead of print.ABSTRACTThe implant material at the fracture site influences fracture healing not only from biological perspective but also from mechanical perspective. Biodegradable implants such as magnesium (Mg) based alloys have shown faster secondary bone healing properties as compared to bioinert implants such as titanium (Ti). The general reasoning behind this is the benefit of Mg from biocompatibility perspectives. We studied the effect of Ti and Mg as base materials for implants from mechanical perspectives, where we fo...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 13, 2024 Category: Biomedical Engineering Authors: Gargi Shankar Nayak Michael Roland Bj örn Wiese Norbert Hort Stefan Diebels Source Type: research

Method for evaluating the fit of custom-fit Continuous Positive Airway Pressure masks using finite element analysis
Comput Methods Biomech Biomed Engin. 2024 Apr 12:1-18. doi: 10.1080/10255842.2024.2341120. Online ahead of print.ABSTRACTContinuous Positive Airway Pressure (CPAP) is a common therapy used to treat breathing disorders such as obstructive sleep apnea. In previous work, we designed a custom-fit CPAP mask to address comfort and leakage issues patients often experience. This paper presents a method to create a finite element (FE) model to evaluate the fit of the custom-fit mask before fabrication. The model includes details such as a skull to represent the variable soft tissue thicknesses on the face, and two strap configurati...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 12, 2024 Category: Biomedical Engineering Authors: Erica Martelly Sandeep Rana Kenji Shimada Source Type: research

Method for evaluating the fit of custom-fit Continuous Positive Airway Pressure masks using finite element analysis
Comput Methods Biomech Biomed Engin. 2024 Apr 12:1-18. doi: 10.1080/10255842.2024.2341120. Online ahead of print.ABSTRACTContinuous Positive Airway Pressure (CPAP) is a common therapy used to treat breathing disorders such as obstructive sleep apnea. In previous work, we designed a custom-fit CPAP mask to address comfort and leakage issues patients often experience. This paper presents a method to create a finite element (FE) model to evaluate the fit of the custom-fit mask before fabrication. The model includes details such as a skull to represent the variable soft tissue thicknesses on the face, and two strap configurati...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 12, 2024 Category: Biomedical Engineering Authors: Erica Martelly Sandeep Rana Kenji Shimada Source Type: research

Prediction of rhinitis with class imbalance based on heterogeneous ensemble learning
Comput Methods Biomech Biomed Engin. 2024 Apr 11:1-16. doi: 10.1080/10255842.2024.2339461. Online ahead of print.ABSTRACTCommon clinical rhinitis is characterized by different types of cases and class imbalance. Its prediction belongs to multiple output classification. Low recognition rate and poor generalization performance often occur for minority class. Therefore, we propose a novel integrated classification model, ARF-OOBEE, which transforms the multi-output classification to multi-label classification and multi-class classification. The multi-label classifier automatically adjusts the number and depth of integrated fo...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 11, 2024 Category: Biomedical Engineering Authors: Jingdong Yang Biao Jiang Zehao Qiu Yifei Meng Xiaolin Zhang Shaoqing Yu Fu Dai Yue Qian Source Type: research

Prediction of rhinitis with class imbalance based on heterogeneous ensemble learning
Comput Methods Biomech Biomed Engin. 2024 Apr 11:1-16. doi: 10.1080/10255842.2024.2339461. Online ahead of print.ABSTRACTCommon clinical rhinitis is characterized by different types of cases and class imbalance. Its prediction belongs to multiple output classification. Low recognition rate and poor generalization performance often occur for minority class. Therefore, we propose a novel integrated classification model, ARF-OOBEE, which transforms the multi-output classification to multi-label classification and multi-class classification. The multi-label classifier automatically adjusts the number and depth of integrated fo...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 11, 2024 Category: Biomedical Engineering Authors: Jingdong Yang Biao Jiang Zehao Qiu Yifei Meng Xiaolin Zhang Shaoqing Yu Fu Dai Yue Qian Source Type: research

Investigation of Bruxism wear behavior of titanium alloy biomaterials; experimental and 3D finite element simulation
This study aims to realize the mechanism of bruxism with finite element analysis and in vitro rotating chewing movement analysis. Within the scope of the study, cp-Ti, Ti-5Zr, and Ti-5Ta materials were subjected to wear tests in the finite element analysis and in vitro rotating chewing movement method under the determined Bruxism chewing test conditions. Test specimens with cylindrical geometry were exposed to a direct every-contact wear mechanism for 30 s under 150 N bruxism chewing bite force. The bruxism chewing cycle continued for 300 min at a frequency of 2 Hz. Microanalysis of the wear surfaces of the samples after t...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 9, 2024 Category: Biomedical Engineering Authors: Efe Çetin Yilmaz Source Type: research

Investigation of Bruxism wear behavior of titanium alloy biomaterials; experimental and 3D finite element simulation
This study aims to realize the mechanism of bruxism with finite element analysis and in vitro rotating chewing movement analysis. Within the scope of the study, cp-Ti, Ti-5Zr, and Ti-5Ta materials were subjected to wear tests in the finite element analysis and in vitro rotating chewing movement method under the determined Bruxism chewing test conditions. Test specimens with cylindrical geometry were exposed to a direct every-contact wear mechanism for 30 s under 150 N bruxism chewing bite force. The bruxism chewing cycle continued for 300 min at a frequency of 2 Hz. Microanalysis of the wear surfaces of the samples after t...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 9, 2024 Category: Biomedical Engineering Authors: Efe Çetin Yilmaz Source Type: research

Investigation of Bruxism wear behavior of titanium alloy biomaterials; experimental and 3D finite element simulation
This study aims to realize the mechanism of bruxism with finite element analysis and in vitro rotating chewing movement analysis. Within the scope of the study, cp-Ti, Ti-5Zr, and Ti-5Ta materials were subjected to wear tests in the finite element analysis and in vitro rotating chewing movement method under the determined Bruxism chewing test conditions. Test specimens with cylindrical geometry were exposed to a direct every-contact wear mechanism for 30 s under 150 N bruxism chewing bite force. The bruxism chewing cycle continued for 300 min at a frequency of 2 Hz. Microanalysis of the wear surfaces of the samples after t...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 9, 2024 Category: Biomedical Engineering Authors: Efe Çetin Yilmaz Source Type: research

Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features
Comput Methods Biomech Biomed Engin. 2024 Apr 8:1-25. doi: 10.1080/10255842.2024.2310075. Online ahead of print.ABSTRACTA heart attack is intended as top prevalent among all ruinous ailments. Day by day, the number of affected people count is increasing globally. The medical field is struggling to detect heart disease in the initial step. Early prediction can help patients to save their life. Thus, this paper implements a novel heart disease prediction model with the help of a hybrid deep learning strategy. The developed framework consists of various steps like (i) Data collection, (ii) Deep feature extraction, and (iii) D...
Source: Computer Methods in Biomechanics and Biomedical Engineering - April 8, 2024 Category: Biomedical Engineering Authors: M Balamurugan Dr S Meera Source Type: research