2016 International Conference on Systems in Medicine and Biology (ICSMB)最新文献_第3页

Feature detection and classification of Action Potentials from detrusor smooth muscle cells 逼尿肌平滑肌细胞动作电位的特征检测与分类

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915109

M. Padmakumar, K. Brain, R. Manchanda

引用次数: 3

Multi-resolution analysis to differentiate the healthy and unhealthy breast using breast thermogram 利用乳房热像图进行健康与不健康乳房的多分辨分析

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915085

S. Pramanik, D. Bhattacharjee, M. Nasipuri

引用次数: 3

Electrical impedance plethysmography based device for aortic pulse monitoring 基于电阻抗容积描记仪的主动脉脉搏监测装置

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915103

Sudipta Ghosh, Satyajit Giri, R. Kruthika, Gunit Singh Chabhra, M. Mahadevappa, J. Mukhopadhyay

引用次数: 10

Multimodal diagnostic segregation of oral leukoplakia and cancer 口腔白斑与癌的多模式诊断分离

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915089

Satarupa Banerjee, S. Karri, Swarnadip Chatterjee, M. Pal, R. Paul, J. Chatterjee

{"title":"Multimodal diagnostic segregation of oral leukoplakia and cancer","authors":"Satarupa Banerjee, S. Karri, Swarnadip Chatterjee, M. Pal, R. Paul, J. Chatterjee","doi":"10.1109/ICSMB.2016.7915089","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915089","url":null,"abstract":"Oral leukoplakia (OLK) is the most common pre malignant disorder (PMD) with highest malignant potentiality. It is clinically highly correlated with oral squamous cell carcinoma (OSCC). Painful biopsy is the gold standard till date for diagnosis of these diseases. Again for specific grading of such pathological states and mitigation of inter and intra observer variability and subjective disease classification, alternative of molecular biomarkers for diseases differentiation as well as non-invasive modalities are yet to be explored. In this study role of morphometric, intensity and textural features extracted from liquid based exfoliative cytology (LBEC) and intensity and textural features extracted from ex vivo optical coherence tomography (OCT) images and spectral features from difference between mean spectra (DBMS) were evaluated for disease classification using variants of support vector machine (SVM) classifiers. Result showed that at 10 fold cross-validation OLK and OSCC could be differentiated using cellular features of LBEC data at 100% sensitivity and specificity. Spectral biomarkers were also extracted efficiently which could classify the diseases with 81.3% sensitivity and 91.3% specificity depicting role of chemical molecules responsible in pathological alteration. Considering the advantage of each modality, it can be concluded that these features can utilized as disease differentiation markers and have useful clinical implication for diagnosis of OLK and OSCC towards mitigation of inter- as well as intra observer variability faced during routine histopathological diagnostic procedure.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"42 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":"129192847","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

Classification of chemical skin burn using SVM method 基于支持向量机的化学皮肤烧伤分类

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915078

Malini Suvarna, Venkategowda N, D. L

引用次数: 1

Delay dependent analysis of respiratory system: Application to obstructive sleep apnea 呼吸系统延迟依赖分析:在阻塞性睡眠呼吸暂停中的应用

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915113

Tanmay Pal, Karan Jain, S. Maka

{"title":"Delay dependent analysis of respiratory system: Application to obstructive sleep apnea","authors":"Tanmay Pal, Karan Jain, S. Maka","doi":"10.1109/ICSMB.2016.7915113","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915113","url":null,"abstract":"The respiratory system maintains homeostasis of oxygen and carbon dioxide partial pressures inside blood using feedback mechanism. Mathematical modeling of this system helps in understanding the system's properties and performance under different diseased conditions. One such situation addressed here is obstructive sleep apnea. In this condition, periodic breathing pattern is observed. It is characterized by waxing and waning of nasal airflow, which in turn makes minute ventilation oscillatory, and it is quite detrimental to the survival of a human being. In the literature, several reasons have been reported for the oscillations (gain, delay, altitude, etc.). This work is focused on Ventilatory control. Ventilation becomes oscillatory when delay posed by blood flow becomes greater than the tolerable limit. There are two chemoreceptor sites, and delay for these two locations along with their implication are different. Hence, analysis of the system for two different delays are introduced. Using LK functional method, here it is shown by analysis, that the system will become oscillatory when the delay limit crosses the specified limit during sleep. Also, it is seen that the peripheral chemoreceptors are much more susceptible to oscillation in the system.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"13 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":"134588507","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

Classification of labour contractions using KNN classifier 用KNN分类器对阵痛进行分类

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915100

R. Jyothi, S. Hiwale, Parvati Bhat

{"title":"Classification of labour contractions using KNN classifier","authors":"R. Jyothi, S. Hiwale, Parvati Bhat","doi":"10.1109/ICSMB.2016.7915100","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915100","url":null,"abstract":"Uterine contractions of desired strength and frequency are one of the important requirements for the smooth progress of cervical dilation and delivery of baby. Presently, Tocograph is used to monitor the strength, duration and frequency of uterine contractions. One of the major drawbacks of Tocography is subjectivity in interpretation. Therefore, there is a need for an objective method for classification of uterine contractions. In this paper, a K Nearest Neighbor based classification method is presented for automated classification of different types of uterine contractions during labour. For the study, CTG signals from Physionet database were used. The signals were annotated by an expert Doctor in three categories: mild (n=33), moderate (n=64) and strong (n=96). After processing of signals, eight features were extracted, followed by implementation of an appropriate classifier. K Nearest Neighbor and Rule based K Nearest Neighbor classifiers were used to classify the uterine contractions into mild, moderate and strong. We achieved an accuracy of 90.91%, 85% and 85.71% for classification using Rule based K Nearest Neighbor classification method.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"1 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":"129510694","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: 8

Seismocardiography: An alternate method to estimate electro-mechanical window 地震心动图:估计机电窗口的另一种方法

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915106

P. Jain, A. Tiwari, O. Bhagat

{"title":"Seismocardiography: An alternate method to estimate electro-mechanical window","authors":"P. Jain, A. Tiwari, O. Bhagat","doi":"10.1109/ICSMB.2016.7915106","DOIUrl":"https://doi.org/10.1109/ICSMB.2016.7915106","url":null,"abstract":"Analysis of electromechanical (E-M) window provides an early marker of several cardiovascular diseases. The E-M window is defined as the duration between the electrical systole (QT) and the mechanical systole (QS2). Traditional methods for the estimation of the electrical systole and the mechanical systole are electrocardiography (ECG) and phonocardiography (PCG). PCG is a widely used method due its features such as portability and cost effectiveness. However, it needs to be improvise in terms of its size and weight, to make it convenient to wear for long-term. Further, the PCG signal is susceptible to various noises, which limits its use in clinical environment. Henceforth, in this paper, we presented a novel system to estimate the E-M window using seismocardiogaphy (SCG) in replacement of the PCG. The SCG uses a sensor called accelerometer, which is small in size and low weight and hence it is convenient to wear. Furthermore, it does not require a microphone, as required in case of the PCG, and hence it is robust to environmental noises. We analysed the performance of the proposed system compared to the PCG, for the estimation of the E-M window. For this purpose ECG, PCG, and SCG signals are acquired simultaneously, for 10 subjects and then validated the obtained results using Bland-Altman plots. Results show that the proposed method is a suitable alternative to estimate the E-M window.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"8 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":"128052251","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

prasavGraph: An Android-based e-Partograph prasavGraph:一个基于android的电子段落图

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915099

Shalini Singh, A. Khalid, K. Paul, Yasoob Haider, Sanjiva Prasad

引用次数: 2

Kernel-based feature extraction for patient-adaptive ECG beat classification 基于核特征提取的心电自适应心跳分类

2016 International Conference on Systems in Medicine and Biology (ICSMB) Pub Date : 1900-01-01 DOI: 10.1109/ICSMB.2016.7915108

Udita Dev Roy, S. Ghorai, A. Mukherjee

引用次数: 6