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2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)最新文献

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Epileptic Seizure Detection Using Wavelets and EMD 基于小波和EMD的癫痫发作检测
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524621
S. Hussain
{"title":"Epileptic Seizure Detection Using Wavelets and EMD","authors":"S. Hussain","doi":"10.1109/ICBSII.2018.8524621","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524621","url":null,"abstract":"Complex information about the brain dynamics is given by Electroencephalography (EEG). For identifying epileptic seizures, skilled interpreters are required and it is difficult. Unexpected occurrence of seizure disturbs the quality of life and causes physical damage. This paper uses methods such as Discrete Wavelet Transform and Empirical Mode Decomposition for extraction of features from EEG and detection of epilepsy. This paper describes what wavelet is chosen for analysis and why is it suitable for this study. It also talks about the number of levels of decomposition of the wavelet and why. EMD is another tool used for signal decomposition. The Detection of epileptic seizures using wavelets and EMD gave results of good accuracy of over 92% for single and multiple subjects. It can be used as a clinical application for the diagnosis and effective epilepsy management.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"1 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":"125818839","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
Smart Wearable Systems for Personal Care with Internet of Things 物联网个人护理智能可穿戴系统
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524612
V. M. Karthicraja, V. K. Prasad, U. Kruthika, R. Sivakumar
{"title":"Smart Wearable Systems for Personal Care with Internet of Things","authors":"V. M. Karthicraja, V. K. Prasad, U. Kruthika, R. Sivakumar","doi":"10.1109/ICBSII.2018.8524612","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524612","url":null,"abstract":"Modern technological advances in miniaturization of sensors, micro- and nanotechnologies, smart gadgets, and smart fabric, and the unremitting advances in smart wearable systems have gradually changed the landscape of personal care, by permitting personality supervision and unremitting supervision of an individual's fitness grade by the trending Internet of Things technology. Consequently, Internet-Of-Things (IoT) is competent to connect a great amount of secluded devices among the internet in an apparent and flawless manner. The proposed work focuses on Wearable Smart System using IoT, which emulates the concept of personal care primarily concentrating on health and safety services. An open source operating system, Contiki 3.0, is used to realize the personal safety and security system using Cooja simulator. Furthermore, this paper provides a comprehensive study of the various topologies, which are used to realize the smart body area network concepts with minimum power consumption and end-to-end delay","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"38 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":"124470165","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
Examination of Glioblastoma Images by Thresholding Using Heuristic Approach 启发式阈值法检测胶质母细胞瘤图像
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524604
A. Catharin, A. S. Kumar, M. Rakshiga, S. Kumaresan, N. M. Raja
{"title":"Examination of Glioblastoma Images by Thresholding Using Heuristic Approach","authors":"A. Catharin, A. S. Kumar, M. Rakshiga, S. Kumaresan, N. M. Raja","doi":"10.1109/ICBSII.2018.8524604","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524604","url":null,"abstract":"Brain tumor is a deadliest sickness in human community. It affects most of the humans despite of their age, gender and race. Medical imaging procedure is widely adopted to detect and evaluate the brain tumor. In this paper, a semiautomated approach is proposed to examine the high grade brain tumor called the Glioblastoma. During this study, the RGB slices of the brain views, like axial, coronal and sagittal are considered. The integration of the thresholding based on the Otsu and segmentation with the active contour is implemented to extract the tumor section. Initially the thresholding procedure monitored by the Social Group Optimization (SGO) acts as the pre- processing approach to enhance the tumor section and the segmentation procedure act as the post-processing section to extract the tumor. Finally, Haralick texture features are considered to compute the tumor characteristic. The experimental result confirms that, proposed approach helps to achieve better segmentation result on the RGB brain MRI pictures.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"45 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":"122903496","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
Analysis of Parkinson's Disease SPECT Images Using Geometric Measures and Orthogonal Moments 用几何测量和正交矩分析帕金森病SPECT图像
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524601
S. Sivaranjini, C. Sujatha
{"title":"Analysis of Parkinson's Disease SPECT Images Using Geometric Measures and Orthogonal Moments","authors":"S. Sivaranjini, C. Sujatha","doi":"10.1109/ICBSII.2018.8524601","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524601","url":null,"abstract":"Parkinson's disease being a neurodegenerative disorder commonly seen in older age group has become an alarming health issue. The reduced dopaminergic activity in the striatum region leads to serious complications when not diagnosed at the early stage. Symptomatic changes can be seen in these patients which includes both motor and non motor indications. In this work, an attempt is made to discriminate between the normal and Parkinson's disease subjects by morphological changes in the striatum. SPECT neuroimaging modality has been used for this study. DAT SPECT images were downloaded and analyzed. The striatum region on both the left and right hemispheres is segmented. Geometrical changes seen in the segmented region is quantified by various parameters. Geometric features such as area, axis length, extent and circularity measures show significant changes differentiating between normal and Parkinson's disease. The orthogonal image moments extracted from the striatum discriminates between HC and PD with higher significant values. Thus the experimental results show a decreased dopamine activity region on the striatum in Parkinson's disease patients.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"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":"131468208","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
Computational Investigation of Stroke Lesion Segmentation from Flair/DW Modality MRI Flair/DW模态MRI脑卒中病灶分割的计算研究
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524617
K. Revanth, T. Varsha shree, N. S. Madhava Raja, V. Rajinikanth
{"title":"Computational Investigation of Stroke Lesion Segmentation from Flair/DW Modality MRI","authors":"K. Revanth, T. Varsha shree, N. S. Madhava Raja, V. Rajinikanth","doi":"10.1109/ICBSII.2018.8524617","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524617","url":null,"abstract":"Brain stroke (BS) is one of the dangerous diseases in human community, which causes the temporary or permanent disability and also death. Hence, in clinical level, the screening procedure BS is usually done using with brain images. MRI is a widely considered imaging procedure to record the internal organs of human body for clinical analysis purpose. This paper presents a soft computing procedure to examine the BS from the MRI of Diffused Weigh (DW) and Flair. This paper implements the combination of thresholding and Localized Active Contour (LAC) segmentation procedure to extract the stroke section. The evaluation of the stroke section if done using Haralick texture features. This paper also provides a performance evaluation of DW and Flair images. The outcome of this research confirms that, flair modality supports better result compared with the DW.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"24 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":"130982158","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: 12
Determination of Concentration for Congo Red Dye Using Colour Image Analysis 用彩色图像分析法测定刚果红染料的浓度
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524600
N. Vinitha, K. Pavendan, K. P. Gopinath
{"title":"Determination of Concentration for Congo Red Dye Using Colour Image Analysis","authors":"N. Vinitha, K. Pavendan, K. P. Gopinath","doi":"10.1109/ICBSII.2018.8524600","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524600","url":null,"abstract":"In this study, Digital images are the main source of information and they are obtained from digital camera which is of low cost when compared to calorimetric discovery. This method involves RGB which consist of Red, Green and Blue colour and Grayscale image analysis consist of Black and White which is used to determine the concentration of the Congo red dye. In this RGB colour image and Grayscale images are equally cropped in square shape using Adobe Photoshop to obtain RGB histogram and Grayscale histogram. From this image analysis, histogram shows the exact accuracy of colour present in the image. The output values obtained from the RGB analysis is used to predict the unknown concentrations of the dyes.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"146 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":"128436481","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
Computational Analysis of Respiratory Tract with 2D and 3D Models 呼吸道二维和三维模型的计算分析
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524688
S. Umarani, P. Archana
{"title":"Computational Analysis of Respiratory Tract with 2D and 3D Models","authors":"S. Umarani, P. Archana","doi":"10.1109/ICBSII.2018.8524688","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524688","url":null,"abstract":"One of the most unique systems in the human body is human respiratory system. Being suited with the task of gas exchange across the respiratory surface, each aspect of the human lungs plays an interconnected role in ensuring that this process is carried out effectively and efficiently. The primary function of the respiratory system entails the intake of oxygen into the body and the expulsion of carbon dioxide from the body. The pathway by which the air enters to the nasal cavity passes to the trachea to the bronchi then to the bronchioles and finally to alveolus. Analysis of respiratory tract is important to study the mechanical process during inspiration and expiration. This analysis can provide an insight about the input and output parameters involved during Inspiration and Expiration. With the help of computational studies such details about the analysis of respiratory tract can be investigated in detail. Laminar viscous model has been used to depict the real time scenario. The pressure and velocity parameters were analysed to get the results.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"15 3 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":"115493346","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
Applications of Magnetic Nanoparticles in Hyperthermia and its Characterization Studies 磁性纳米颗粒在热疗中的应用及其表征研究
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524694
C. Annapoorani, N. Shree
{"title":"Applications of Magnetic Nanoparticles in Hyperthermia and its Characterization Studies","authors":"C. Annapoorani, N. Shree","doi":"10.1109/ICBSII.2018.8524694","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524694","url":null,"abstract":"Magnetic hyperthermia is considered as a therapeutic way since they exhibit hysteresis property and dissipate heat when placed under the magnetic flux area. As per ampere's law, the sum of elements in the magnetic field is equal to the permeability in the electric current enclosed in the loop area. Thus, it transforms high frequency electromagnetic energy to heat. When hyperthermia is applied, the cancerous cells get devastated due to their local increase in temperature. The Cobalt ferrite magnetic nanoparticles were considered for hyperthermia applications to destroy tumor cells locally. The magnetic nanoparticles were synthesized using co-precipitation method and were coated with polyacrylic acid as it exhibited toxic properties when it was subjected to analysis. Thus, it was characterized using SEM, XRD, VSM and FTIR. Also, the magnetic nanoparticles were tested for its cellular uptake. By suspending the magnetic nanoparticles into the aqueous environment where the brine shrimp larvae were habituated, the cellular uptake was studied with respect to time. It is implied that the cells were subjected to necrosis. This can be measured in several different ways such as assessing cell viability.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"34 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":"125658819","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
Tremomarker Tremor Detection for Diagnosis in a Non-Clinical Approach Using IoT 基于物联网的非临床方法中的震颤标志物检测诊断
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 2018-03-01 DOI: 10.1109/ICBSII.2018.8524816
Anand K Vijay, K. Sangeetha, A. Shibani, M. Pranitha
{"title":"Tremomarker Tremor Detection for Diagnosis in a Non-Clinical Approach Using IoT","authors":"Anand K Vijay, K. Sangeetha, A. Shibani, M. Pranitha","doi":"10.1109/ICBSII.2018.8524816","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524816","url":null,"abstract":"Tremomarker is a wearable, hand tremor quantification device and it is made up of accelerometer and gyroscope used for the detection of tremor. For many neurological diseases tremor is marked as a major symptom, by knowing its intensity, different types of diseases can be identified and treated correspondingly. Parkinson's disease is taken for case study because its pathological tremor is one of the major visible symptom and by knowing its intensity, other diseases can also be treated. The data of the detected tremor is transferred to the diagnosis system using IoT gateway, from which the intensity and severity of the disease is determined. The device is small, light weight, easily portable and low cost. Because of the above features it is easily accessible and user friendly to all category of people.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"29 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":"115591859","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: 5
Copyright and Reprint Permission 版权和转载许可
2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) Pub Date : 1900-01-01 DOI: 10.1109/spit.2018.8350863
{"title":"Copyright and Reprint Permission","authors":"","doi":"10.1109/spit.2018.8350863","DOIUrl":"https://doi.org/10.1109/spit.2018.8350863","url":null,"abstract":"2018 International Conference on Biosignals, Images and Instrumentation (ICBSII - 2018).","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122947383","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
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