Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10054076
M. Abdelaziz, Linda Ait Mohammed, Fatiha Alim Ferhat
{"title":"Integration of radiographic and histological images for the diagnosis of glioblastoma","authors":"M. Abdelaziz, Linda Ait Mohammed, Fatiha Alim Ferhat","doi":"10.1504/ijbet.2023.10054076","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10054076","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10055086
Carolin Wuerich, C. Wiede, A. Grabmaier
{"title":"A comparative analysis of fall risk factors in elderly and their automatic assessment","authors":"Carolin Wuerich, C. Wiede, A. Grabmaier","doi":"10.1504/ijbet.2023.10055086","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10055086","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10056074
V. Bairagi, S. Elgandelwar
{"title":"Early diagnosis of Alzheimer disease using EEG signals: the role of pre-processing","authors":"V. Bairagi, S. Elgandelwar","doi":"10.1504/ijbet.2023.10056074","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10056074","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"15 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10057554
B. Kovács, Minjun Liang, Huiyu Zhou, Fengfeng Li, Datao Xu
{"title":"The effect of heel height on the Achilles tendon and muscle activity in Latin dancers during a special-landing task","authors":"B. Kovács, Minjun Liang, Huiyu Zhou, Fengfeng Li, Datao Xu","doi":"10.1504/ijbet.2023.10057554","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10057554","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10056453
Saman Hoseini, M. Noorani
{"title":"FEM-based Fatigue Analysis on a 4-Bar Polycentric Knee of Above-Knee Prostheses","authors":"Saman Hoseini, M. Noorani","doi":"10.1504/ijbet.2023.10056453","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10056453","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we compared the performance of geometrical, Zernike moments, and volumetric features of the corpus callosum (CC) to diagnose autism spectrum disorder (ASD). Initially, the CC was segmented from the midsagittal view of 2D structural magnetic resonance images using the distance regularised level set evolution (DRLSE). The segmented images were validated with the ground truth using similarity measures. The geometrical and Zernike moments were extracted from the 2D segmented region, and the volumetric features were extracted from 3D images of CC. The features extracted were then used to train classifiers. The segmented images were highly matched with the ground truth with mean similarity measure values of Sokal and Sneath-II = 0.9928 and Pearson and Heron-II = 0.9924. We achieved the highest site-specific classification accuracy of 72.69% using the random forest (RF) classifier. The pipeline followed in this study can be used for mass screening of ASD-like neurodevelopmental disorders.
在这项研究中，我们比较了几何、泽尼克矩和胼胝体(CC)体积特征在诊断自闭症谱系障碍(ASD)中的表现。首先，使用距离正则化水平集进化(DRLSE)从二维结构磁共振图像的正中矢状面分割CC。使用相似度度量对分割后的图像进行验证。从二维分割区域中提取几何矩和Zernike矩，从三维图像中提取体积特征，然后将提取的特征用于训练分类器。分割后的图像与ground truth匹配度较高，Sokal and Sneath-II的平均相似度量值为0.9928,Pearson and Heron-II的平均相似度量值为0.9924。我们使用随机森林(RF)分类器获得了最高的站点特定分类准确率72.69%。本研究遵循的管道可用于大规模筛查asd样神经发育障碍。
{"title":"Comparative evaluation of geometrical, Zernike moments, and volumetric features of the corpus callosum for discrimination of ASD using machine learning algorithms","authors":"Aditi Bhattacharya, Gokul Manoj, Vaibhavi Gupta, Abdul Aleem Shaik Gadda, Dhanvi Vedantham, A. Amalin Prince, Priya Rani, Anandh Kilpattu Ramaniharan, Jac Fredo Agastinose Ronickom","doi":"10.1504/ijbet.2023.134588","DOIUrl":"https://doi.org/10.1504/ijbet.2023.134588","url":null,"abstract":"In this study, we compared the performance of geometrical, Zernike moments, and volumetric features of the corpus callosum (CC) to diagnose autism spectrum disorder (ASD). Initially, the CC was segmented from the midsagittal view of 2D structural magnetic resonance images using the distance regularised level set evolution (DRLSE). The segmented images were validated with the ground truth using similarity measures. The geometrical and Zernike moments were extracted from the 2D segmented region, and the volumetric features were extracted from 3D images of CC. The features extracted were then used to train classifiers. The segmented images were highly matched with the ground truth with mean similarity measure values of Sokal and Sneath-II = 0.9928 and Pearson and Heron-II = 0.9924. We achieved the highest site-specific classification accuracy of 72.69% using the random forest (RF) classifier. The pipeline followed in this study can be used for mass screening of ASD-like neurodevelopmental disorders.","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135262577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Machine learning (ML) and data mining (DM) techniques have grown in popularity among researchers and scientists in various fields. The healthcare industry could not be an exception to it. Diabetes or diabetes mellitus, a gaggle of metabolic disorder, can be caused due to age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, hypertension, etc. and for that, the entire body system can be affected harmfully and be susceptible to dangerous diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. For this, we tried to go for a systematic review on diabetes by applying ML and DM classification algorithms for prediction and diagnosis. Concerning the sort of knowledge, medical datasets as well as Pima Indian Diabetes Datasets (PIDDs) provided by the UCI-ML Repository were mainly used. This survey may be useful for further investigation in predictions and resulting valuable knowledge on diabetes.
{"title":"A review on prediction of diabetes using machine learning and data mining classification techniques","authors":"Abhilash Pati, Manoranjan Parhi, Binod Kumar Pattanayak","doi":"10.1504/ijbet.2023.128514","DOIUrl":"https://doi.org/10.1504/ijbet.2023.128514","url":null,"abstract":"Machine learning (ML) and data mining (DM) techniques have grown in popularity among researchers and scientists in various fields. The healthcare industry could not be an exception to it. Diabetes or diabetes mellitus, a gaggle of metabolic disorder, can be caused due to age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, hypertension, etc. and for that, the entire body system can be affected harmfully and be susceptible to dangerous diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. For this, we tried to go for a systematic review on diabetes by applying ML and DM classification algorithms for prediction and diagnosis. Concerning the sort of knowledge, medical datasets as well as Pima Indian Diabetes Datasets (PIDDs) provided by the UCI-ML Repository were mainly used. This survey may be useful for further investigation in predictions and resulting valuable knowledge on diabetes.","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135127102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.133722
Mohammad Shah Faizan, Swati Pal
Asymmetry between the prosthetic and the intact leg may cause discomfort and seriously deteriorate people's quality of life. It is important to know the current status of asymmetry involved in the recent leg prosthetics so that efforts will be made to minimise it. In this paper, 31 articles that focus on the asymmetry in people with unilateral transtibial and transfemoral amputation were screened using PRISMA. The articles were further reviewed and computed for the symmetry index. The results revealed the presence of a high level of asymmetry during various activities performed. The level of asymmetry decreases with the activities associated with increasing speed. The microprocessor-controlled prosthetics have lesser asymmetry as compared to the non-microprocessor-controlled. The recent prosthetics were not fully effective in minimising the asymmetry, thus, more advanced research is needed in the design of prosthetics, by taking into consideration the varied nature of daily activities.
{"title":"Asymmetry in people with transtibial and transfemoral amputation for the activities of daily living - a review","authors":"Mohammad Shah Faizan, Swati Pal","doi":"10.1504/ijbet.2023.133722","DOIUrl":"https://doi.org/10.1504/ijbet.2023.133722","url":null,"abstract":"Asymmetry between the prosthetic and the intact leg may cause discomfort and seriously deteriorate people's quality of life. It is important to know the current status of asymmetry involved in the recent leg prosthetics so that efforts will be made to minimise it. In this paper, 31 articles that focus on the asymmetry in people with unilateral transtibial and transfemoral amputation were screened using PRISMA. The articles were further reviewed and computed for the symmetry index. The results revealed the presence of a high level of asymmetry during various activities performed. The level of asymmetry decreases with the activities associated with increasing speed. The microprocessor-controlled prosthetics have lesser asymmetry as compared to the non-microprocessor-controlled. The recent prosthetics were not fully effective in minimising the asymmetry, thus, more advanced research is needed in the design of prosthetics, by taking into consideration the varied nature of daily activities.","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135914601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.132884
N.A. Seema, Jasbir Singh Saini, Sanjeev Kumar
{"title":"Master slave configuration in robotic surgery through image processing","authors":"N.A. Seema, Jasbir Singh Saini, Sanjeev Kumar","doi":"10.1504/ijbet.2023.132884","DOIUrl":"https://doi.org/10.1504/ijbet.2023.132884","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136114855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbet.2023.10050485
G. Shi
{"title":"Diagnosis Results of Athletes with Ankle Joint Pain Based on the Neutrosophic Ensemble Image","authors":"G. Shi","doi":"10.1504/ijbet.2023.10050485","DOIUrl":"https://doi.org/10.1504/ijbet.2023.10050485","url":null,"abstract":"","PeriodicalId":51752,"journal":{"name":"International Journal of Biomedical Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66807514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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