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

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DEXSIT: A Benchmark Database for BMD Measurement and Analysis DEXSIT:骨密度测量和分析的基准数据库
S. Fathima, R. Tamilselvi, M. Beham
{"title":"DEXSIT: A Benchmark Database for BMD Measurement and Analysis","authors":"S. Fathima, R. Tamilselvi, M. Beham","doi":"10.1109/ICBSII.2018.8524801","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524801","url":null,"abstract":"In the medical field, a bone mineral density (BMD) test is presented as a picture of your bone health. The test determines the risk for bone fractures of a human. From the test report one can identify the symptoms of osteopenia or osteoporosis disease which is the most common type of bone disease. The most extensively renowned BMD test is called a Dual-Energy X-ray absorptiometry, or DEXA test. The test can measure bone mineral density at spine, left and right femur bones. Superior properties of DEXA compared to conventional methods unveil the potential for new medical applications among the researchers. Thus it is mandatory to have a standard DEXA database for the researchers so as to take the treatments to the advance level by properly analyzing the clinical results of the scan images. The proposed DEXA database, named as DEXSIT, represents an initial attempt to provide a set of DEXA scan images of Anteroposterior (AP) spine, dual left and right femur bones. The database interprets all the clinical details such as age, weight, height, BMD level, T-score, Z-score and area of the bone part. In addition to describing the details of the database, some specific performance evaluation measures have also been done as an effort to make research achieved with the database as consistent and comparable as possible.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129174053","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
Contrast Enhancement of Medical Radiography Images Using Edge Preserving Filters 利用边缘保持滤波器增强医学放射图像的对比度
Lekshmy Sudha Kumari, R. Kanhirodan
{"title":"Contrast Enhancement of Medical Radiography Images Using Edge Preserving Filters","authors":"Lekshmy Sudha Kumari, R. Kanhirodan","doi":"10.1109/ICBSII.2018.8524691","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524691","url":null,"abstract":"Radiographic medical imaging is a key diagnostic tool for many diseases and has an important role in monitoring treatment and predicting outcome. As in the case with any other medical imaging modality, insufficient image contrast associated with the X-ray images could negatively affect the treatment process. Methods to improve the contrast in X-ray images by intensifying the X-ray dose delivered to the patient is also not advisable due to the harmful effects of the increased intensity radiation on the body. Therefore, the image quality improvement through post processing techniques is an essential part of medical imaging. This paper aims to present an iterative algorithm based on Guided Image Filtering for contrast enhancement of X-ray images.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125578035","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
Classification and Prediction of Human Cognitive Skills Using EEG Signals 脑电信号对人类认知技能的分类与预测
Malak Shah, Ruma Ghosh
{"title":"Classification and Prediction of Human Cognitive Skills Using EEG Signals","authors":"Malak Shah, Ruma Ghosh","doi":"10.1109/ICBSII.2018.8524729","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524729","url":null,"abstract":"In this paper, a novel method to perform binary classification of human cognitive skill using electroencephalography (EEG) signals was developed. The classification was done by assessing activity in the brain, at different frequencies while the subjects were solving a series of arithmetic questions of varying complexity. Recording of brain activity was done through EEG signals with the aid of the EMOTIV EPOC+ neural headset. The acquired data was analyzed and the classifications were accomplished with the help of supervised learning classifiers, namely K Nearest Neighbors (KNN), Support Vector Machine (SVM), Regression, Discriminant, Tree and Ensemble classifiers. The mental skill of the test subject was classified in binary terms of a state of solving/not solving in a manner similar to emotional classification using the valence/arousal model. The results are presented and discussed in detail in this paper. It is believed that this work would lead to the development of accurate methods to predict cognitive skills of human beings for a better understanding of their learning capabilities.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121243785","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
Hidden Markov Model-Based Sign Language to Speech Conversion System in TAMIL 基于隐马尔可夫模型的泰米尔语手语语音转换系统
V. Aiswarya, N. Naren Raju, Singh S Johanan Joy, T. Nagarajan, P. Vijayalakshmi
{"title":"Hidden Markov Model-Based Sign Language to Speech Conversion System in TAMIL","authors":"V. Aiswarya, N. Naren Raju, Singh S Johanan Joy, T. Nagarajan, P. Vijayalakshmi","doi":"10.1109/ICBSII.2018.8524802","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524802","url":null,"abstract":"Quick-eared and articulately speaking people convey their ideas, thoughts, and experiences by vocally interacting with the people around them. The difficulty in achieving the same level of communication is high in the case of the deaf and mute population as they express their emotions through sign language. An ease of communication between the former and the latter is necessary to make the latter an integral part of the society. The aim of this work is to develop a system for recognizing the sign language, which will aid in making this necessity a reality. In the proposed work an accelerometer-gyroscope sensor-based hand gesture recognition module is developed to recognize different hand gestures that are converted to Tamil phrases and an HMM-based text-to-speech synthesizer is built to convert the corresponding text to synthetic speech.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"57 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":"115370754","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: 6
Wireless Emergency Patient Monitoring System 无线紧急病人监测系统
S. Yadav, Tanvi V. Pulekar, A. Cheeran, Vaibhav D. Awandekar
{"title":"Wireless Emergency Patient Monitoring System","authors":"S. Yadav, Tanvi V. Pulekar, A. Cheeran, Vaibhav D. Awandekar","doi":"10.1109/ICBSII.2018.8524734","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524734","url":null,"abstract":"A real time system is proposed in which an Android application is developed to monitor the patient's vital signs like SpO2, ECG, NIBP, Heart Rate, Temperature and Respiration Rate and send them to the doctor wirelessly. The patient monitoring device is interfaced with the application via Bluetooth Low Energy. The parameters are acquired, processed and displayed in the application and then sent to the server in real time using high level of compression and advanced file transfer protocol. SQLite database is maintained in the phone to store multiple patients' information. The doctor can access the data remotely. In case of abnormal values a notification pops up in the application. Also, the doctor and relatives can be notified via Email and SMS in emergency situations. The tested results showed that there is only a few seconds delay between data acquisition and their upload over the server.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"64 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":"130677036","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
Designing an Intelligent Elderly Behavior Detection System 老年人智能行为检测系统的设计
Erlito M. Albina, A. Hernandez
{"title":"Designing an Intelligent Elderly Behavior Detection System","authors":"Erlito M. Albina, A. Hernandez","doi":"10.1109/ICBSII.2018.8524658","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524658","url":null,"abstract":"This is a research-in-progress of developing an intelligent system of elderly abnormal behavior detection with real-time notifications on a mobile platform. This study involves surveillance of elderly participants in the Philippines using image processing and machine learning to detect abnormal behavior. A real-time mobile notification of abnormal behavior is provided for the elderly's immediate family members and emergency care personnel. The initial testing for abnormal detection achieved an average of ninety percent. Thus, this study contributes to the need for elderly care information systems.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"102 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":"123621322","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
A Proposed Design of an Universal Electrochemical Reader Based on a Collated Medical Device Innovation Framework and Systems Thinking 基于整理式医疗器械创新框架和系统思维的通用电化学读取器设计
N. Shivakumar, M. Arora, Monto Mani
{"title":"A Proposed Design of an Universal Electrochemical Reader Based on a Collated Medical Device Innovation Framework and Systems Thinking","authors":"N. Shivakumar, M. Arora, Monto Mani","doi":"10.1109/ICBSII.2018.8524721","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524721","url":null,"abstract":"Glucometers are the most common electrochemical readers that people are using frequently, but, similar readers can be used for analyzing many other tests like HbA1c, Hemoglobin, Serum Albumin, Urine ACR, etc. However, at this moment most of the tests are conducted using proprietary readers, which add on to a lot of energy being consumed (with sustainability in focus, we consider energy consumed in form of all resources that is utilized for development, manufacturing, handling and disposal of the product) and also leads to increase in cost of tests and thereby raises the question on cost effectiveness of these tests. There are multiple other parameters which probably at the moment are not even considered while design of these products, thus, directly raising questions on sustainability of these products. In this paper we propose a design of a universal electrochemical reader which is generic in nature and can be adapted to any tests which can be measured or analyzed using an electrochemical measurement process and requires a small quantity of liquid samples like blood or urine. The proposed design is the result of following a Medical Device Innovation framework that was collated by the authors through reviews of existing frameworks and interviews. Systems Thinking was also used as a tool to understand the problem at a systems level with the help of cross-impact simulation models in the current solutions available across the market. The aim of this study was to optimize the design of electrochemical reader, especially considering the case of glucometers with the focus being on study of Sustainability. With the help of the Medical Device Innovation framework model an optimized design for electrochemical readers was conceived.","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":"131325504","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
Augmentation of Statistical Features in Cytopathology Towards Computer Aided Diagnosis of Oral PrecancerlCancer 细胞病理学统计特征对口腔癌前病变计算机辅助诊断的增强作用
Saunak Chatterjee, Debaleena Nawn, Mousumi Mandal, J. Chatterjee, S. Mitra, M. Pal, R. Paul
{"title":"Augmentation of Statistical Features in Cytopathology Towards Computer Aided Diagnosis of Oral PrecancerlCancer","authors":"Saunak Chatterjee, Debaleena Nawn, Mousumi Mandal, J. Chatterjee, S. Mitra, M. Pal, R. Paul","doi":"10.1109/ICBSII.2018.8524706","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524706","url":null,"abstract":"Oral cancer is a leading malignancy and a rising concern in India. Early detection of the disease is essential at reducing mortality. In this paper, we propose a computer assisted method for diagnosis of oral pre-cancer/cancer using oral exfoliative cytology. A combination of features were extracted from expert delineated cells and nuclei collected from cytology of patients suffering from oral sub-mucous fibrosis, oral leukoplakia or oral squamous cell carcinoma and subject with no lesion. These features were used to train predictive machine learning models like support vector machine, k nearest neighbor, random forest, etc. These models were verified using validation data set. The verification experiments showed promising results with the random forest classifier having a test accuracy of 90%.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"16 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":"114057395","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: 9
A Review of Present and Futuristic Development of Near Infrared Spectroscopy System in the Assessment of Diabetic Foot Risk 近红外光谱系统在糖尿病足风险评估中的研究进展
Resham Raj Shivwanshi, N. P. Guhan Seshadri, R. Periyasamy
{"title":"A Review of Present and Futuristic Development of Near Infrared Spectroscopy System in the Assessment of Diabetic Foot Risk","authors":"Resham Raj Shivwanshi, N. P. Guhan Seshadri, R. Periyasamy","doi":"10.1109/ICBSII.2018.8524637","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524637","url":null,"abstract":"Diabetic foot is a common, immobilizing and often engender to the amputation of the lower limb. The utmost originating facet to the upshot of diabetic foot ulcers are neuropathy (i.e. peripheral nerve dysfunction), arterial occlusive diseases, PVD (i.e. peripheral vascular disease), malformation and disorder. It has been widely studied that the one fourth of overall number of diabetic mellitus patients will suffer from foot ulcers. These types of patients are at menace of amputation and can soon turn towards mortality. To dwindle the rates of mortality and morbidity, prudent detection of the menace foot areas is indispensable. This article mainly focused on vascular disease at lower limbs, which is one of the main factors causing diabetic foot ulcers. This review article aims at providing brief overview in development of near infrared spectroscopy (NIRS) in assessing the vascular parameters in lower extremities of the patients. The parameters obtained from the NIRS method shows high clinical significance and it well correlated with the existing methods.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"87 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":"125005657","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 Digital Mammogram Using Otsu's Function and Watershed Segmentation 用Otsu函数和分水岭分割检测数字乳房x线照片
S. Raj, N. S. Madhava Raja, M. Madhumitha, V. Rajinikanth
{"title":"Examination of Digital Mammogram Using Otsu's Function and Watershed Segmentation","authors":"S. Raj, N. S. Madhava Raja, M. Madhumitha, V. Rajinikanth","doi":"10.1109/ICBSII.2018.8524794","DOIUrl":"https://doi.org/10.1109/ICBSII.2018.8524794","url":null,"abstract":"Breast malignancy is one of dangerous illness among the women community and premature detection may facilitate to provide the appropriate treatment to diminish/eliminate breast cancer. Digital Mammogram (DM) is a commonly approved imaging scheme to record and scrutinize the breast cancer. This paper implements a novel hybrid approach based on the combination Otsu's multi-thresholding and Water Shed Segmentation (WSS) to mine the suspicious sections from the DM. Initially, the multi-level thresholding using the Bat Algorithm (BA) driven Otsu with a bi-, tri- and four-level thresholding is implemented to pre-process the DM. Afterward, a marker controlled WSS is implemented to mine the infected division of DM. The mined section is then evaluated using the Haralick texture feature in order to know the severity of the disease by examining its texture feature. In this paper, DM dataset with dense, medium, low and normal breast regions are analyzed independently with the proposed approach. The experimental result of this paper confirms that, proposed method is very proficient in extracting the breast malignancy from the considered DM database.","PeriodicalId":262474,"journal":{"name":"2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII)","volume":"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":"114876245","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
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