Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944097
M. R. Ram, K. Sivani, K. Reddy
Pulse Oximeter (PO) employed in critical care units is crucial equipment to measure the vital parameters like oxygen blood saturation levels and heart rate of the patient. Using PO device, required medical data is acquired using the photoplethysmographic (PPG) data utilizing PPG sensors attached on forehead/ to finger/at earlobe of the patient and then Ratio parameter (R) is computed pertaining to amplitudes of acquired red and IR PPG signals. Further, ‘R’ is used to estimate oxygen saturation levels with the help of calibration curve. Subject movements while recording the medical data may result in erroneous estimation of required estimation parameter and in turn may result in wrong diagnosis by the clinician. Reduction of Motion Artifacts (MA) component from raw PPG data recorded may guarantee error-free measurement of oxygen blood saturation level (SpO2). MA's can be removed from raw PPG signal (corrupted) using band pass filtering method, but the persisting in-band noise component cannot be removed. In this paper, authors propose a filtering method using tunable Q-factor wavelet transform (TQWT) to remove MA components. Advantage of TQWT sytems from the fact that, the realization of practical narrow band pass filter with a specific Q-factor value can be designed, which motivated the authors to use for this application. Experimental results have shown a good acceptance for the proposed method as the MA reduced PPG signals obtained are having efficient morphological features. SpO2 is estimated from MA reduced PPGs by utilizing the calibration curve. The superiority of proposed technique has been proved by comparing the experimental results with results obtained using basic least mean squares (LMS) method. Signal data can be acquired with different MA components (bending, horizontal and vertical movements of patient's finger) is considered for experiment analysis. Obtained SpO2 parameter calculations proved the efficacy of estimation technique in measurement of reliable and accurate SpO2, helpful for medical diagnosis.
{"title":"Reduction of motion artifacts from pulse oximeter signals using tunable Q-factor wavelet transform technique","authors":"M. R. Ram, K. Sivani, K. Reddy","doi":"10.1109/ICCCSP.2017.7944097","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944097","url":null,"abstract":"Pulse Oximeter (PO) employed in critical care units is crucial equipment to measure the vital parameters like oxygen blood saturation levels and heart rate of the patient. Using PO device, required medical data is acquired using the photoplethysmographic (PPG) data utilizing PPG sensors attached on forehead/ to finger/at earlobe of the patient and then Ratio parameter (R) is computed pertaining to amplitudes of acquired red and IR PPG signals. Further, ‘R’ is used to estimate oxygen saturation levels with the help of calibration curve. Subject movements while recording the medical data may result in erroneous estimation of required estimation parameter and in turn may result in wrong diagnosis by the clinician. Reduction of Motion Artifacts (MA) component from raw PPG data recorded may guarantee error-free measurement of oxygen blood saturation level (SpO2). MA's can be removed from raw PPG signal (corrupted) using band pass filtering method, but the persisting in-band noise component cannot be removed. In this paper, authors propose a filtering method using tunable Q-factor wavelet transform (TQWT) to remove MA components. Advantage of TQWT sytems from the fact that, the realization of practical narrow band pass filter with a specific Q-factor value can be designed, which motivated the authors to use for this application. Experimental results have shown a good acceptance for the proposed method as the MA reduced PPG signals obtained are having efficient morphological features. SpO2 is estimated from MA reduced PPGs by utilizing the calibration curve. The superiority of proposed technique has been proved by comparing the experimental results with results obtained using basic least mean squares (LMS) method. Signal data can be acquired with different MA components (bending, horizontal and vertical movements of patient's finger) is considered for experiment analysis. Obtained SpO2 parameter calculations proved the efficacy of estimation technique in measurement of reliable and accurate SpO2, helpful for medical diagnosis.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133831737","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}
Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944066
A. Mishra, R. Janowski
Counterfeit medicine is a major problem in today's world. There are many existing methods which are effective in lab environment and mostly are too sophisticated to be used by untrained health workers in the field. We present an application specific instrumentation principle inspired system for fake medicine detection. This is based on a crude spectroscope and cloud based analytics tools. We call it Speky! We demonstrate the working of the system with a good success rate.
{"title":"Speky: A diffraction based application specific instrumentation (ASIN) counterfeit medicine detection system","authors":"A. Mishra, R. Janowski","doi":"10.1109/ICCCSP.2017.7944066","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944066","url":null,"abstract":"Counterfeit medicine is a major problem in today's world. There are many existing methods which are effective in lab environment and mostly are too sophisticated to be used by untrained health workers in the field. We present an application specific instrumentation principle inspired system for fake medicine detection. This is based on a crude spectroscope and cloud based analytics tools. We call it Speky! We demonstrate the working of the system with a good success rate.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422277","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}
Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944104
N. Sripriya, S. Poornima, R. Shivaranjani, P. Thangaraju
Speech signal contains two characteristics, system and source. When there is disturbance in vocal cord function, there is notable change in source characteristic. Despite the technological advances in the medical field, the voice pathologists use endoscopic methods to view the vocal cord flap movements for patients with infections and disturbances in vocal cords which are painful. This work is an alternative for classifying pathological voice from normal voice by evaluating the jitter and shimmer variations in the speech signal of an affected person. When there is any distortion in voice, it is reflected in the source characteristics. Pitch being the fundamental source characteristic, analyzing pitch helps us classify pathological voice from normal voice. Jitter and shimmer are derived characteristics of pitch. The glottal closure instants are better representatives of source compared to pitch. In this work, we have explored using the glottal closure instants to calculate the jitter, shimmer and other speech parameters instead of the pitch period. Analyzing these jitter and shimmer parameters for various pathological voices and normal voices help us to classify them. Experiments were carried out using a database containing normal and pathological voices. An accuracy of 85% was achieved for normal-pathological voice classification.
{"title":"Non-intrusive technique for pathological voice classification using jitter and shimmer","authors":"N. Sripriya, S. Poornima, R. Shivaranjani, P. Thangaraju","doi":"10.1109/ICCCSP.2017.7944104","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944104","url":null,"abstract":"Speech signal contains two characteristics, system and source. When there is disturbance in vocal cord function, there is notable change in source characteristic. Despite the technological advances in the medical field, the voice pathologists use endoscopic methods to view the vocal cord flap movements for patients with infections and disturbances in vocal cords which are painful. This work is an alternative for classifying pathological voice from normal voice by evaluating the jitter and shimmer variations in the speech signal of an affected person. When there is any distortion in voice, it is reflected in the source characteristics. Pitch being the fundamental source characteristic, analyzing pitch helps us classify pathological voice from normal voice. Jitter and shimmer are derived characteristics of pitch. The glottal closure instants are better representatives of source compared to pitch. In this work, we have explored using the glottal closure instants to calculate the jitter, shimmer and other speech parameters instead of the pitch period. Analyzing these jitter and shimmer parameters for various pathological voices and normal voices help us to classify them. Experiments were carried out using a database containing normal and pathological voices. An accuracy of 85% was achieved for normal-pathological voice classification.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026679","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}
Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944057
M. Anirudh, Arul Thileeban, Daniel Jeswin Nallathambi
Every day, a new technology comes up and the primary reason why it fails to attract many people in this era is the concern of privacy and security. Each day, along with the new technology comes a load of vulnerabilities waiting to be exploited. IoT (Internet of Things) is the latest trend and like all technology, it is open for exploitation. The most common attack which is used to bring down a whole network, without even finding a loophole in the security — DoS can be used to pull down any IoT network as well. In this paper, we propose a honeypot model for mitigating DoS attacks launched on IoT devices. Honeypots are commonly used in online servers as a decoy to the main server so that the attack is mitigated to the decoy instead of the main server. Here a similar methodology is used to avoid the whole IoT system from being shut down due to a DoS attack.
{"title":"Use of honeypots for mitigating DoS attacks targeted on IoT networks","authors":"M. Anirudh, Arul Thileeban, Daniel Jeswin Nallathambi","doi":"10.1109/ICCCSP.2017.7944057","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944057","url":null,"abstract":"Every day, a new technology comes up and the primary reason why it fails to attract many people in this era is the concern of privacy and security. Each day, along with the new technology comes a load of vulnerabilities waiting to be exploited. IoT (Internet of Things) is the latest trend and like all technology, it is open for exploitation. The most common attack which is used to bring down a whole network, without even finding a loophole in the security — DoS can be used to pull down any IoT network as well. In this paper, we propose a honeypot model for mitigating DoS attacks launched on IoT devices. Honeypots are commonly used in online servers as a decoy to the main server so that the attack is mitigated to the decoy instead of the main server. Here a similar methodology is used to avoid the whole IoT system from being shut down due to a DoS attack.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122737895","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}
Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944059
L. Chandiea, K. Anusudha
The trend in today's wireless application is to design antennas that are compact, robust and ease to integrate with RF circuit components. Microstrip patch antenna is one such type that satisfies the above requirement. But the two main factors of an antenna namely the gain and the bandwidth are low for patch antennas. Usually the gain range of patch antenna is 1–2dB. The most straightforward way of increasing these factors involves the use of low dielectric substrate with increased thickness, but this inevitably leads to surface wave generation. As a result, sensible substrate thickness has to be employed. This paper presents pentagon shape patch antenna with probe feed for three different dimensions. The analysis is done using Ansoft HFSS software version 15.0. The performance parameters such as bandwidth, gain and return loss of the proposed antennas are compared.
{"title":"Performance analysis of pentagon shaped microstrip patch antenna","authors":"L. Chandiea, K. Anusudha","doi":"10.1109/ICCCSP.2017.7944059","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944059","url":null,"abstract":"The trend in today's wireless application is to design antennas that are compact, robust and ease to integrate with RF circuit components. Microstrip patch antenna is one such type that satisfies the above requirement. But the two main factors of an antenna namely the gain and the bandwidth are low for patch antennas. Usually the gain range of patch antenna is 1–2dB. The most straightforward way of increasing these factors involves the use of low dielectric substrate with increased thickness, but this inevitably leads to surface wave generation. As a result, sensible substrate thickness has to be employed. This paper presents pentagon shape patch antenna with probe feed for three different dimensions. The analysis is done using Ansoft HFSS software version 15.0. The performance parameters such as bandwidth, gain and return loss of the proposed antennas are compared.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109537","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}
Pub Date : 1900-01-01DOI: 10.1109/ICCCSP.2017.7944080
M. N. Kumar, T. Shanmuganantham
Substrate integrated waveguide is good candidate for implementing for millimeter wave applications. In this paper, we represented substrate integrated waveguide tapered slot antenna for 57–64 GHz frequency range, which is developed by using Rogers RT/Duriod 5880 with dielectric constant of 2.2 and 0.381mm substrate height. The simulation results shows that reflection coefficient, VSWR, Gain, Radiation efficiency, total efficiency, surface current and obtained 3.08GHz impedance bandwidth with respect to −10 dB reference line and also preserves 44% bandwidth over entire band. Electromagnetic tool Computer simulation technology studio suite software was used for simulation.
衬底集成波导是实现毫米波应用的理想选择。本文采用介电常数为2.2、衬底高度为0.381mm的Rogers RT/ period 5880，设计了57 ~ 64 GHz频率范围的衬底集成波导锥形缝隙天线。仿真结果表明，相对于−10 dB基准线，反射系数、驻波比、增益、辐射效率、总效率、表面电流得到了3.08GHz的阻抗带宽，并且在整个频带上保持了44%的带宽。电磁工具采用计算机仿真技术studio套件软件进行仿真。
{"title":"Substrate integrated waveguide tapered slot antenna for 57–64 GHz band applications","authors":"M. N. Kumar, T. Shanmuganantham","doi":"10.1109/ICCCSP.2017.7944080","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944080","url":null,"abstract":"Substrate integrated waveguide is good candidate for implementing for millimeter wave applications. In this paper, we represented substrate integrated waveguide tapered slot antenna for 57–64 GHz frequency range, which is developed by using Rogers RT/Duriod 5880 with dielectric constant of 2.2 and 0.381mm substrate height. The simulation results shows that reflection coefficient, VSWR, Gain, Radiation efficiency, total efficiency, surface current and obtained 3.08GHz impedance bandwidth with respect to −10 dB reference line and also preserves 44% bandwidth over entire band. Electromagnetic tool Computer simulation technology studio suite software was used for simulation.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130621023","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}
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