P. S. H. Jose, K. Rajasekaran, P. Rajalakshmy, Blessy Jebastina
{"title":"A Non-Invasive Method for Measurement of Blood Glucose using Bio Impedance Technique","authors":"P. S. H. Jose, K. Rajasekaran, P. Rajalakshmy, Blessy Jebastina","doi":"10.1109/ICSPC46172.2019.8976732","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976732","url":null,"abstract":"Measurement of Bioimpedance is a non-invasive, inexpensive as well as a widely used technique for measuring body composition measurements and also to assess the health condition and nutrition. This technique is a painless one and involves the passage of a small amplitude electrical current having a particular frequency applied through cables connected to electrodes placed on the human body, enabling the measurement of resistance (R) and capacitive reactance (Xc), which is performed using an analog device. At low frequencies current pass through extracellular fluids and at high frequencies it penetrates the cellular membrane and gets into the intracellular fluid. The focus of the proposed works is to investigate the possibilities of monitoring the blood glucose status non-invasively by using the bioimpedance data which would permit more frequent testing and a tighter control of diabetes. The Bioimpedance values measured from various subjects are trained against the actual value of Blood Glucose measured using the conventional clinical process using ANFIS, an adaptive estimation algorithm and are further tested for various other subjects. The results obtained are found to be well within the tolerable accuracy limits. The hardware circuit for bioimpedance measurement is interfaced with LabView environment for the estimation.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126857986","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}
{"title":"Real and Reactive Power Compensation of a Power System by using DSTATCOM","authors":"S. Ahmad, M. S. Potdar","doi":"10.1109/ICSPC46172.2019.8976519","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976519","url":null,"abstract":"Voltage sag and reactive power are the important power quality problems faced by utilities and many industries. Mostly reactive power is consumed by industrial inductive loads. This causes lower power factor. Consequently it limits the active power flow in the line. DSTATCOM (Distribution static compensator) is a shunt connected FACTS device, used for reactive power compensation especially in distribution system. DSTATCOM in multi bus system is capable of reducing the losses and hence improving the voltage regulation. This paper deals with voltage source converter based DSTATCOM, for compensation of active and reactive power in distribution system. The voltage source converter (of DSTATCOM) is controlled by controlling the dc link voltage. Implementation of DSTATCOM in distribution system is carried out in a MATLAB environment.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126638975","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}
{"title":"Active Contour Model (without edges) based Pulmonary Nodule Detection in Low Dose CT images","authors":"P. Bruntha, S. A. Pandian, P. Mohan","doi":"10.1109/ICSPC46172.2019.8976813","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976813","url":null,"abstract":"Among the various types of cancer, lung cancer forms a significant portion of cancer deaths. The deaths due to cancer can be reduced and minimized in a given population if it is detected early. Computer Aided Detection (CAD) is a process by which early detection of lung cancer nodules has been made possible. This paper presents the results obtained by the proposed CAD algorithm (Active Contour Model without edges) for the detection of lung nodules. The CT images obtained are preprocessed, segmented and the lung nodules are detected. An accuracy of 91.5% has been achieved.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178333","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}