Biomedical Engineering: Applications, Basis and Communications最新文献_第9页

AN EXTRACTION AND CLASSIFICATION BASED ON EMD AND LSSVM OF EPILEPTIC EEG 基于emd和LSSVM的癫痫脑电图提取与分类

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-06-20 DOI: 10.4015/s101623722250034x

Xia Zhang, C. Yan

{"title":"AN EXTRACTION AND CLASSIFICATION BASED ON EMD AND LSSVM OF EPILEPTIC EEG","authors":"Xia Zhang, C. Yan","doi":"10.4015/s101623722250034x","DOIUrl":"https://doi.org/10.4015/s101623722250034x","url":null,"abstract":"The epilepsy EEG signal with nonstationary and nonlinear characteristics is a typical electroencephalographic (EEG), which have been solved by the proposed method of using least squares support vector machine (LSSVM) as the classifiers and empirical mode decomposition (EMD) as the feature extraction methods to achieve epileptic seizure detection with signal analysis and processing. In this proposed method, EMD is used to select three intrinsic mode functions (IMF) with high correlation to replace the original signals, which has been employed to solve the nonlinear and nonstationary problems in feature extraction and infusion, and then, the feature can be employed to feed to the recognition engine named LSSVM, and its parameters is optimized by particle swarm optimization (PSO). The study uses publicly available EEG database from the University of Bonn (UoB), and there are 7960 EEG segments in the complete dataset, among which are nine recognition problems marked as Z-N, Z-F, Z-S, O-N, O-F,O-S N-S F-S and Z-O-N-F-S, the average classification accuracy of Z-N, Z-F, Z-S, O-N, O-F, O-S, N-S and F-S can be generally obtained as highly as 90%, the Z-O-N-F-S training set and test set classification accuracy are 98.8% and 88%, which had been used to verify the effectiveness and robustness of this proposed method on feature extraction, To the best of our knowledge, the excellent performance of the proposed method has shown that this method can be employed to track the patient’s healthy state and monitor the moment of epilepsy seizure.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"11 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77739186","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}

引用次数: 2

EFFECTIVE SEMANTIC FEATURES TO IMPROVE RETRIEVAL OF LUNG NODULES IN CT SCAN IMAGES 有效的语义特征提高ct扫描图像中肺结节的检索

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-06-13 DOI: 10.4015/s1016237222500326

M. Alizade, A. H. Foruzan

{"title":"EFFECTIVE SEMANTIC FEATURES TO IMPROVE RETRIEVAL OF LUNG NODULES IN CT SCAN IMAGES","authors":"M. Alizade, A. H. Foruzan","doi":"10.4015/s1016237222500326","DOIUrl":"https://doi.org/10.4015/s1016237222500326","url":null,"abstract":"Successful treatment of a patient depends on the accurate determination of the disease type. The advent of big data facilitates the retrieving of medical images and helps physicians in reliable diagnoses using content-based medical image retrieval systems (CBMIR). They consist of a feature extraction module and a distance metric. The extracted textural or deep-based features identify different types of diseases. In the proposed retrieval algorithm, we use the gray level cooccurrence matrix as the common textural characteristics and integrate them with semantic attributes. The semantic features are the geometric characteristics of the tumor that a radiologist employ to distinguish between benign and malignant tumors. These high-level attributes include the Euler number, margin smoothness, and the aspect ratio of the lesion’s size. We used the Minkowski distance measure for computing the similarity of images and applied the proposed algorithm to 200 CT-scan data containing lung lesions obtained from the LIDC database. The types of lesions were benign and malignant. Employing an ablation study, we proved the effectiveness of the semantic feature. The precision of the retrieval results is 93% which is promising compared to recent studies. In the future, we plan to define other kinds of semantic attributes to distinguish stages 1–5 of lung tumors as well.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"9 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77059104","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}

引用次数: 0

DESIGN AND IMPLEMENTATION OF A PORTABLE AUTOMATED AUDIOMETER FOR HEARING CLASSIFICATION USING MACHINE LEARNING APPROACHES 使用机器学习方法设计和实现用于听力分类的便携式自动听力计

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-06-13 DOI: 10.4015/s1016237222500351

V. Raja Sankari, U. Snekhalatha, T. Rajalakshmi

{"title":"DESIGN AND IMPLEMENTATION OF A PORTABLE AUTOMATED AUDIOMETER FOR HEARING CLASSIFICATION USING MACHINE LEARNING APPROACHES","authors":"V. Raja Sankari, U. Snekhalatha, T. Rajalakshmi","doi":"10.4015/s1016237222500351","DOIUrl":"https://doi.org/10.4015/s1016237222500351","url":null,"abstract":"Audiometric tests can identify the hearing loss at specific frequencies using the audiogram. The aim and objectives of the study were (i) to develop an automated audiometer for self-diagnosing the hearing ability of the patient; (ii) to extract the features from the acoustic signals and to classify the normal and profound hearing loss patients using different machine learning algorithms; (iii) to validate the hearing loss classification using six-frequency average (6-FA) method based on simple linear regression analysis and machine learning algorithms. The study is conducted among 150 patients, including 75 patients with normal hearing ability and 75 patients with profound hearing loss. The total population of 150 underwent audiometric test both in the soundproof audiometric room and in the normal field environment. Based on the patient response, the intensity and frequency are changed automatically, and the audiogram is plotted by the principle of Artificial Neural Network learning procedures. The overall accuracy produced by classification of normal and profound hearing loss patients using Support Vector Machine (SVM), k-Nearest Neighbor classifier, and Naïve Bayes classifier is 97%, 96%, and 95%, respectively. The results indicated that the SVM classifier outperforms the other two classifiers well. The preliminary audiometric test can be performed remotely and then consulted with an audiologist. Thus, the patient could operate the developed prototype independently and get a consultation from trained medical personnel.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"68 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85981314","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}

引用次数: 1

CLASSIFICATION OF AGE-RELATED MACULAR DEGENERATION USING DAG-CNN ARCHITECTURE dag-cnn结构对老年性黄斑变性的分类

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-06-13 DOI: 10.4015/s1016237222500375

S. Sabi, J. Jacob, V. Gopi

{"title":"CLASSIFICATION OF AGE-RELATED MACULAR DEGENERATION USING DAG-CNN ARCHITECTURE","authors":"S. Sabi, J. Jacob, V. Gopi","doi":"10.4015/s1016237222500375","DOIUrl":"https://doi.org/10.4015/s1016237222500375","url":null,"abstract":"Age-related Macular Degeneration (AMD) is the prime reason for vision impairment observed in major countries worldwide. Hence an accurate early detection of the disease is vital for more research in this area. Also, having a thorough eye diagnosis to detect AMD is a complex job. This paper introduces a Directed Acyclic Graph (DAG) structure-based Convolutional Neural network (CNN) architecture to better classify Dry or Wet AMD. The DAG architecture can combine features from multiple layers to provide better results. The DAG model also has the capacity to learn multi-level visual properties to increase classification accuracy. Fine tuning of DAG-based CNN model helps in improving the performance of the network. The training and testing of the proposed model are carried out with the Mendeley data set and achieved an accuracy of 99.2% with an AUC value of 0.9999. The proposed model also obtains better results for other parameters such as precision, recall and F1-score. Performance of the proposed network is also compared to that of the related works performed on the same data set. This shows ability of the proposed method to grade AMD images to help early detection of the disease. The model also performs computationally efficient for real-time applications as it does the classification process with few learnable parameters and fewer Floating-Point Operations (FLOPs).","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"58 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84129807","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}

引用次数: 0

COMPARATIVE ANALYSIS OF VARIOUS FILTERS FOR DENOISING OF THE SPINAL CORD MRIs 不同滤波方法对脊髓核磁共振去噪效果的比较分析

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-06-01 DOI: 10.4015/s1016237222500272

Sheetal Garg, S. R. Bhagyashree

{"title":"COMPARATIVE ANALYSIS OF VARIOUS FILTERS FOR DENOISING OF THE SPINAL CORD MRIs","authors":"Sheetal Garg, S. R. Bhagyashree","doi":"10.4015/s1016237222500272","DOIUrl":"https://doi.org/10.4015/s1016237222500272","url":null,"abstract":"Magnetic Resonance Imaging (MRI) techniques are a fundamental and imperative part of the medical image processing field. The images acquired from the MRI machines are affected by the noise. This noise degrades the quality of the images. Acquisition of MRI with noise may give erroneous results. Hence, to enhance the image quality, it is necessary to reduce or remove this noise. To enhance the image quality of MRI, a plethora of filtering algorithms are available along with the morphological operations. In this paper, we have implemented numerous filters like Adaptive Median filter, Median filter, Mean filter, bilateral filter, NLM filter, Gaussian filter, Weiner filter, and morphological operations to eliminate the noise in the MRI of the spinal cord. The scenarios considered are 1. Application of filters, 2. Application of filters followed by morphological operations, and 3. Morphological operations followed by the application of filters. Statistical parameters like Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE) are found for all three approaches and are used to analyze the performance of these techniques. NLM filters are found to give the best performance when compared to other filters. Morphological operations affect the performance of the filters. Application of morphological operations before filtering degrades the filter performance while applying them after improves the performance. The dataset comprises of 250 spinal cord MRIs with noise. The author inferred that the performance of the filters is improved by applying the filtering techniques after the morphological operation.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"19 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81625817","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}

引用次数: 2

MICRO ACTIVE CATHETERS AND EMBOLIZATION TECHNIQUES: A BRIEF REVIEW BASED ON DESIGN AND WORKING EFFICACY 微活性导管和栓塞技术:基于设计和工作效果的综述

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-05-04 DOI: 10.4015/s1016237222300012

Suman Dey, Ruby Mishra, M. Mohapatra, S. Sabut

{"title":"MICRO ACTIVE CATHETERS AND EMBOLIZATION TECHNIQUES: A BRIEF REVIEW BASED ON DESIGN AND WORKING EFFICACY","authors":"Suman Dey, Ruby Mishra, M. Mohapatra, S. Sabut","doi":"10.4015/s1016237222300012","DOIUrl":"https://doi.org/10.4015/s1016237222300012","url":null,"abstract":"Micro catheters are thin-walled devices gaining pivotal importance in the field of micro invasive surgeries. The need for an efficient design of a micro catheter with the enhancement of its prime characteristics like-kink resistance, lower bending response, increased perumbular capacities, etc., has been the key parameters for research among biomedical engineers. The article highlights the nuances in the technology in the fabrication of micro active catheters and the procedure and necessity of embolization in the process of catheterization. Efficacies of different designs of micro active catheters were studied based on a variety of clinical data trials by several researchers and doctors. Superior materials capable of enhancing the torque efficacy of the device like auxetic materials and their effect on bending angles were studied. Clinical trials were undertaken based on various designs and approaches for the device and the critical characteristics were studied. The micro active catheter with guide-wire shows maximum bending angle and considerable torque making it ideal for micro invasive procedures in constricted as well as divergent blood vessels.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"13 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89799678","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}

引用次数: 0

DIABETIC MACULAR EDEMA CLASSIFICATION WITH OCT IMAGES USING GENERATIVE ADVERSARIAL NETWORK AND ACTIVE CONTOUR MODEL 基于生成对抗网络和活动轮廓模型的糖尿病黄斑水肿oct图像分类

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-04-28 DOI: 10.4015/s1016237222500296

S. Reddy, Shridevi Soma

{"title":"DIABETIC MACULAR EDEMA CLASSIFICATION WITH OCT IMAGES USING GENERATIVE ADVERSARIAL NETWORK AND ACTIVE CONTOUR MODEL","authors":"S. Reddy, Shridevi Soma","doi":"10.4015/s1016237222500296","DOIUrl":"https://doi.org/10.4015/s1016237222500296","url":null,"abstract":"The major reason for blindness is diabetic macular edema (DME) and hence detection of DME at early stage using optical coherence tomography (OCT) is commonly employed for diagnosing retinal diseases. An accurate disease identification and classification poses a challenging task due to the difficulty in differentiating the abnormal and healthy regions. To overcome these issues and to accurately classify the DME, an effective DME classification approach named antlion spider monkey optimization-based generative adversarial network (ALSMO-based GAN) is proposed in this research for segmenting the retinal layers and to classify the DME more accurately. With the generator and the discriminator components of GAN, the DME is effectively classified so that the devised ALSMO algorithm can be used to train the process of GAN. The inspiration of the foraging and the hunting behavior enable the optimization to increase the rate of convergence and to achieve global optimal solution by reducing the local optima. With the segmented retinal layer, the classification process is progressed through the extraction of relevant features from the retinal layers. The performance of the developed method is verified using measures like accuracy, sensitivity, and specificity which attained values of 92.5%, 98%, and 92.3%, respectively.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"02 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73525398","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}

引用次数: 0

Recurrent Neural Network for Monitoring Mouse Embryonic Stem Cell Colony in vitro Using Time-lapse Fluorescence Microscopy Images 利用延时荧光显微镜图像监测小鼠胚胎干细胞集落的递归神经网络

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-04-27 DOI: 10.4015/s1016237222500302

S. Chu, K. Abe, H. Yokota, Ming-Dar Tsai

引用次数: 0

Risk Analysis and Classification of Myocardial Infarction from Carotid Intima Media Thickness of B-Mode Ultrasound Image Using Various Machine Learning and Deep Learning Techniques 基于b超图像颈动脉内膜中膜厚度的心肌梗死风险分析及分类

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-04-27 DOI: 10.4015/s1016237222500314

P. Lakshmi Prabha, A. Jayanthy

引用次数: 0

DESIGN AND DEVELOPMENT OF ADVANCED SIMILARITY MEASURE FOR RECONSTRUCTING GRN USING mRNA EXPRESSION PROFILES 利用mRNA表达谱重建GRN的先进相似测度的设计与发展

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Biomedical Engineering: Applications, Basis and Communications Pub Date : 2022-04-07 DOI: 10.4015/s1016237222500247

S. A. Bhyratae, Neha Mangla

{"title":"DESIGN AND DEVELOPMENT OF ADVANCED SIMILARITY MEASURE FOR RECONSTRUCTING GRN USING mRNA EXPRESSION PROFILES","authors":"S. A. Bhyratae, Neha Mangla","doi":"10.4015/s1016237222500247","DOIUrl":"https://doi.org/10.4015/s1016237222500247","url":null,"abstract":"Gene Regulatory Networks (GRNs) reconstruction aims to infer relationships of potential regulation among the genes. With the rapid growth of the biotechnology, such as Ribonucleic acid (RNA)-sequencing and gene chip microarray, the generated high-throughput data provide gene–gene interaction relationships with more opportunities based on gene expression data. Several approaches are introduced to reconstruct the GRNs, but low accuracy is a major drawback. Hence, this paper introduces the hybrid distance measure and the Pearson’s correlation coefficient for reconstructing GRN. The hybrid distance, such as Tversky index, Tanimoto similarity, and Minkowski distance, is employed to connect the edges. The asymmetric partial correlation network is introduced for determining two influence functions for every pair, and edge direction is determined among them. However, the direction of edges is unknown usually and seems difficult to be identified based on gene expression data. Thus, it extends the data processing inequality applying in the directed network for removing the transitive interactions. The influence value of every node is calculated for identifying the significant regulator. The performance of the proposed Hybrid Distance_Entropy based GRN Reconstruction method is analyzed in terms of correlation, reconstruction error, precision, and recall, which provides superior results with values 0.9450, 0.00052, 0.9095, and 0.8913 based on dataset-1.","PeriodicalId":8862,"journal":{"name":"Biomedical Engineering: Applications, Basis and Communications","volume":"31 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73168684","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}

引用次数: 0