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Int. J. Medical Eng. Informatics最新文献

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Cuckoo search-based modified bi-histogram equalisation method to enhance the cancerous tissues in mammography images 基于布谷鸟搜索的改进双直方图均衡化方法增强乳房x线摄影图像中的癌组织
Int. J. Medical Eng. Informatics Pub Date : 2018-04-18 DOI: 10.1504/IJMEI.2018.10012106
K. G. Dhal, M. Sen, Sanjoy Das
{"title":"Cuckoo search-based modified bi-histogram equalisation method to enhance the cancerous tissues in mammography images","authors":"K. G. Dhal, M. Sen, Sanjoy Das","doi":"10.1504/IJMEI.2018.10012106","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10012106","url":null,"abstract":"In this study, novel variants of histogram equalisation (HE) have been proposed by using proper histogram segmentation techniques and then incorporating weighting constraints to each sub histogram independently to maintain the proper contrast. To segment the histogram properly; Otsu method, Kapur's entropy and grey level co-occurrence matrix (GLCM)-based entropy methods have been applied. Optimal weighting constraints have been computed by applying one existing modified cuckoo search (CS) algorithm. All variants are successfully applied to enhance the cancerous tissues of the mammogram images. Fractal dimension (FD), entropy and quality index based on local variance (QILV) have been employed to measure the efficiency of all proposed methods. Experimental results prove the supremacy of the proposed methods over existing methods.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125224376","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: 19
Adaptive filtering algorithm based on a wavelet packet tree for heart sound signal analysis 基于小波包树的心音信号自适应滤波算法
Int. J. Medical Eng. Informatics Pub Date : 2018-04-18 DOI: 10.1504/IJMEI.2018.10012105
L. Cherif, S. Debbal
{"title":"Adaptive filtering algorithm based on a wavelet packet tree for heart sound signal analysis","authors":"L. Cherif, S. Debbal","doi":"10.1504/IJMEI.2018.10012105","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10012105","url":null,"abstract":"In order to further highlight heart sound signals analysis, we developed an algorithm based on a wavelet packet tree; for possible discrimination depending on the severity of pathological cases for different heart sound signals. The algorithm functions select the most informative nodes combination of a wavelet packet tree as a basis for feature extraction. To generate this adaptive filter, we need to compute the best sub tree of an initial wavelet packet tree with respect for entropy type yardstick, the node combination with the lowest total cost is selected. The decomposition into wavelet packet offers a wavelet library organised according to their time-frequency analysis and location properties and therefore of pass-band filtering, according to a binary tree architecture. This architecture makes it possible to implement algorithms for searching for adapted bases to both the desired time-frequency properties and the analysed signal, which are conventionally called better bases.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116192649","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
An adaptive thresholding technique for QRS-complex detection in ECG signal based on empirical wavelet transform 基于经验小波变换的心电信号qrs复合体自适应阈值检测技术
Int. J. Medical Eng. Informatics Pub Date : 2018-04-18 DOI: 10.1504/IJMEI.2018.10012103
Trunal Jambholkr, B. Saini, I. Saini
{"title":"An adaptive thresholding technique for QRS-complex detection in ECG signal based on empirical wavelet transform","authors":"Trunal Jambholkr, B. Saini, I. Saini","doi":"10.1504/IJMEI.2018.10012103","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10012103","url":null,"abstract":"Since the QRS complex varies with different cardiac health conditions, therefore efficient and automatic detection of QRS complex and is essential for reliable health condition monitoring. In this work an empirical wavelet transform (EWT)-based algorithm has been used for accurate detection of QRS complex. EWT is one of the adaptive time-frequency data analysis method. In the first step, this method decomposes the ECG signal into set of the AM-FM components called modes. Later, adaptive thresholding is applied to its last mode to detection of QRS-complexes. Last mode is nearly the same as that of the original signal if we look at it visually. The proposed algorithm has been tested on the standard. The performance of proposed method has been measured on the basis of statistical parameters and gives the positive predictivity 99.82%, sensitivity 99.93%, and error rate 0.24%. The proposed method is also tested on self-recorded dataset and achieves 100% sensitivity and positive predictivity and zero error rates.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120976346","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
Impact of affective picture and music stimuli on autonomic responses: characterisation of pauses between emotion blocks 情感图片和音乐刺激对自主反应的影响:情感块之间暂停的特征
Int. J. Medical Eng. Informatics Pub Date : 2018-04-18 DOI: 10.1504/IJMEI.2018.10012107
Atefeh Goshvarpour, A. Abbasi, A. Goshvarpour
{"title":"Impact of affective picture and music stimuli on autonomic responses: characterisation of pauses between emotion blocks","authors":"Atefeh Goshvarpour, A. Abbasi, A. Goshvarpour","doi":"10.1504/IJMEI.2018.10012107","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10012107","url":null,"abstract":"The main goal of this study was to investigate the role of stimulus contents on physiological responses. Usually some pauses between the incentives are considered in an experiment to bring the physiological signals to the base. However, the role of these halts on emotional responses has not been carefully evaluated so far. Therefore, in the current study the effect of pauses between emotional blocks of an inducement was inspected. To this effect, autonomic signals were recorded using two emotion elicitation paradigms: image induction and music excerpts. Several standard and nonlinear features were extracted. The Mann-Whitney U-test was employed to determine the significant differences between the pause segments and rest condition. The results of this study indicated that pause duration between affective blocks of stimuli has a great impact on the emotional autonomic responses. The importance of specialised protocol designing for a specific biomedical signal is concluded from the findings.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123779585","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
Scaling-up spatiotemporal dynamics of HIV/AIDS prevalence rates of Sub-Saharan African countries 撒哈拉以南非洲国家艾滋病毒/艾滋病流行率的时空动态放大
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010918
N. Kunene, W. Ebomoyi, T. Gala
{"title":"Scaling-up spatiotemporal dynamics of HIV/AIDS prevalence rates of Sub-Saharan African countries","authors":"N. Kunene, W. Ebomoyi, T. Gala","doi":"10.1504/IJMEI.2018.10010918","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010918","url":null,"abstract":"With approximately two in three global HIV/AIDS cases, Sub-Saharan Africa (SSA) countries are enduring enormous HIV/AIDS disease burden. This study used GIS to investigate the spatiotemporal of variability of HIV/AIDS prevalence rates of SSA countries. Data acquired from the UNAIDS Global Report and World Reference Database are used for geospatial analysis, longitudinal study and modelling. Accordingly, in SSA, on average, 5.75% of the adult population were infected in 2014. The epidemics were relatively lower in the western (μ = 1.8 ± SD = 0.28) and eastern (μ = 2.4 ± SD = 5.3); average in the central (μ = 3.15 ± SD = 2.0) and significantly (p = 0.05) higher in the southern African countries (μ = 16.4 ± SD = 60). There is an encouraging trend of significant (i.e., R2 = 0.60; α = 0.05) decline between 2001 and 2014, although the strength of decline vary from country to country.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114816934","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
Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions 格罗夫:一种辅助装置，通过EDA测量模拟驾驶条件下的中性、压力和愤怒情绪来评估交感神经
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010919
J. K. Ooi, S. A. Ahmad, A. J. Ishak, K. Minhad, S. Ali, Y. Z. Chong
{"title":"Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions","authors":"J. K. Ooi, S. A. Ahmad, A. J. Ishak, K. Minhad, S. Ali, Y. Z. Chong","doi":"10.1504/IJMEI.2018.10010919","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010919","url":null,"abstract":"Cognition, emotion, and mood are one of the most researched topics in psychophysiological signal study. Heart rate, skin conductance, and skin temperature are popular measures of understanding autonomic nervous systems. These measures are tightly related to sympathetic and parasympathetic nervous system, which regulates human emotion. Stress and anger affect driving task and contribute to the high number of road crashes. This study utilised electrodermal activity (EDA) to differentiate stress and anger from the neutral emotion of drivers while performing a simulated driving task. Twenty healthy subjects participated and the experiment protocol was approved by Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia. Mean power spectral density (PSD) of EDA signals were statistically compared between emotion groups with repeated-measures ANOVA and Bonferroni post hoc test. A significant difference (p 0.01) was noted between stress-anger groups. Promising classification accuracy was achieved between emotion groups with support vector machine (SVM) classifier at ten-fold cross-validation.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126519914","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: 3
Analysis of polycystic kidney disease in medical ultrasound images 多囊肾病的医学超声图像分析
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010922
Prema T. Akkasaligar, Sunanda Biradar
{"title":"Analysis of polycystic kidney disease in medical ultrasound images","authors":"Prema T. Akkasaligar, Sunanda Biradar","doi":"10.1504/IJMEI.2018.10010922","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010922","url":null,"abstract":"The growth of kidney diseases has gradually increased in recent years. Ultrasound imaging provides the internal structure of the body to detect eventually diseases or abnormal tissues non-invasively. Segmentation of required region in ultrasound images is one of the challenging tasks. The proposed method focuses on classification of medical ultrasound images of kidney as cystic and polycystic types. Segmentation is performed using gradient vector force (GVF) snakes. Before segmentation, speckle noise is removed using Gaussian filter and contrast is enhanced. We have segmented normal, cystic and polycystic kidney ultrasound images effectively using GVF snakes. We have also carried out segmentation using morphological operations which requires a user intervention during the process of segmentation. Geometrical features are used with k-NN for classifying medical US images of kidney as normal, single cystic and polycystic types for segmented regions .The proposed method has applications in analysis of organ morphology and realising quantitative measurements.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827411","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: 4
Segmentation of coronary artery tree from computed tomography angiography using region growing method 用区域生长法分割计算机断层血管成像中的冠状动脉树
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010921
M. Shams, Mohammed Abdel-Megeed Salem, S. Hamad, Howida A. Shedeed
{"title":"Segmentation of coronary artery tree from computed tomography angiography using region growing method","authors":"M. Shams, Mohammed Abdel-Megeed Salem, S. Hamad, Howida A. Shedeed","doi":"10.1504/IJMEI.2018.10010921","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010921","url":null,"abstract":"Recently, automated analysis of medical images becomes important for easier and faster clinical diagnosis. Identifying human organs is the key component for such analysis, i.e., segmentation of the anatomical structures from medical images. Coronary arteries segmentation gained wide interest in old and recent scientific research, thus various methods have been developed for segmenting coronaries from different cardiac imaging modalities. This paper provides a review of studies based on region growing (RG) method in segmentation of coronary arteries from computed tomography angiography (CTA). The main objective of this paper is to highlight the different perspectives of applying RG in the segmentation process. Firstly, medical background is provided to coronary disease, CTA and RG algorithm explanation. Finally, the studies are compared to each other according to the selection of seed points, detection of seed points, preprocessing and enhancements, RG segmentation process and finally the post-processing.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133503282","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
Advancements in EEG source localisation methods 脑电源定位方法的研究进展
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010920
Sanjeev Nara, Poonam Sheoran
{"title":"Advancements in EEG source localisation methods","authors":"Sanjeev Nara, Poonam Sheoran","doi":"10.1504/IJMEI.2018.10010920","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010920","url":null,"abstract":"Electroencephalogram (EEG) signals represent the neuronal activity of brain. These signals are recorded by placement of multiple electrodes over the scalp or from cortex of the brain under the skull. These signals have important applications in biomedical and clinical field but most applications fail to take benefit of all the data's available from the information, particularly about the location of dynamic sources in the brain. Localisation of sources of brain signal is important for the study of brain physiological, mental, pathological, and functional abnormalities, and problems related to various body disabilities. Their ultimate aim is to specify the sources of abnormalities such as tumours and epilepsy. This paper provides comprehensive overview of the different traditional and latest methods used for the EEG source localisation.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131508573","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
Watermarking medical images with patient identification to verify authenticity 水印医学图像与患者身份验证的真实性
Int. J. Medical Eng. Informatics Pub Date : 2018-03-01 DOI: 10.1504/IJMEI.2018.10010923
S. Oueslati, B. Solaiman
{"title":"Watermarking medical images with patient identification to verify authenticity","authors":"S. Oueslati, B. Solaiman","doi":"10.1504/IJMEI.2018.10010923","DOIUrl":"https://doi.org/10.1504/IJMEI.2018.10010923","url":null,"abstract":"In medical imaging, it has been shown that watermarking can improve data protection and content enrichment. In this work, we present an adaptive watermarking algorithm which exploits a wavelets-based human visual system (HVS) and a fuzzy inference system (FIS) to embed digital watermark while modifying frequency coefficients in discrete wavelet transform (DWT) domain. The main goal of the algorithm is to provide a more robust and imperceptible watermark. The application should be capable of handling the trade-off between those two. This trade-off is met when the position of embedding the watermark is optimally selected. In this paper, the FIS and HVS are combined to control and generate the watermark weighting function to embed the imperceptible watermark. Based on the experimental results, it is shown that the implemented watermarking algorithm is imperceptible and robust to some normal attacks such as JPEG compression, Gaussian noise, Gaussian blur, median filtering and rotation.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"13 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773886","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
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