Pub Date : 2012-12-31DOI: 10.1109/ICCCNT.2012.6395984
B. Priya, Dr. A. Suruliandi
Image reconstruction is the process of manipulating an image to increase the amount of information perceived by a human eye. In this paper most popular filtering techniques have taken for comparison, that are Non Local Mean method, Particle filtering and Markov random fields. The Original NL Mean method replaces a noisy pixel by the weighted average of pixels with related surrounding neighbourhoods. In order to accelerate the algorithm; the filters are used to eliminate unrelated neighborhoods from the weighted average. The particle filtering technique will give statistical behavior of the image. The most appropriate window or neighborhood shape and size to estimate the image intensity in a given position. One attempt is to do perform filtering by selecting the neighboring pixels in a random fashion but without taking image structure into account. MRFs can be used as parametric models for the probability distribution of intensity levels in an image. The resulting framework explores optimally spatial dependencies between image content towards variable bandwidth image reconstruction. The results of techniques Non Local Mean method, Particle Filters and Markov random fields are compared by using two parameters such as PSNR and MSE values for the reconstructed images.Markov Random Fields method provides a better result when compare to Nonlocal mean method and Particle Filter.
{"title":"Empirical evaluation of image reconstruction techniques","authors":"B. Priya, Dr. A. Suruliandi","doi":"10.1109/ICCCNT.2012.6395984","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395984","url":null,"abstract":"Image reconstruction is the process of manipulating an image to increase the amount of information perceived by a human eye. In this paper most popular filtering techniques have taken for comparison, that are Non Local Mean method, Particle filtering and Markov random fields. The Original NL Mean method replaces a noisy pixel by the weighted average of pixels with related surrounding neighbourhoods. In order to accelerate the algorithm; the filters are used to eliminate unrelated neighborhoods from the weighted average. The particle filtering technique will give statistical behavior of the image. The most appropriate window or neighborhood shape and size to estimate the image intensity in a given position. One attempt is to do perform filtering by selecting the neighboring pixels in a random fashion but without taking image structure into account. MRFs can be used as parametric models for the probability distribution of intensity levels in an image. The resulting framework explores optimally spatial dependencies between image content towards variable bandwidth image reconstruction. The results of techniques Non Local Mean method, Particle Filters and Markov random fields are compared by using two parameters such as PSNR and MSE values for the reconstructed images.Markov Random Fields method provides a better result when compare to Nonlocal mean method and Particle Filter.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602740","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 : 2012-12-31DOI: 10.1109/ICCCNT.2012.6395936
S. Emarose, R. Asokan, D. Valayaputtur
A methodology to continuously monitor the heart rate variability (HRV) and haemodynamic stability of an automobile driver is essential for both the driver and the co-passengers. In this paper, we discuss the maximum physiological parameters that an oximeter installed in the steering wheel of an automobile can measure. A pulse oximeter which is normally used for measuring blood oxygen saturation is exposed to magnetic fields to obtain the blood viscosity, which is an essential parameter to keep the body haemodynamically stable. RGB color band analysis is made on the oximeter output in order to obtain the electro-cardiac signals from the Green band. Measurement of respiration rate is done by amplitude and frequency modulation of the light signal [1]. In case of cardiac arrest, the vehicle is changed to cruise control mode and the measured parameters will be sent to any nearby hospitals for assistance using GPS. The RFID tags are also used to communicate to the nearby vehicles to alert other drivers for emergency assistance. Each and every vehicle is equipped with automatic external defibrillator (AED) with detailed instructions on how to operate the AED, in order to defibrillate a person in cardiac arrest.
{"title":"Continuous monitoring of heart rate variability and haemodynamic stability of an automobile driver to prevent road accidents","authors":"S. Emarose, R. Asokan, D. Valayaputtur","doi":"10.1109/ICCCNT.2012.6395936","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395936","url":null,"abstract":"A methodology to continuously monitor the heart rate variability (HRV) and haemodynamic stability of an automobile driver is essential for both the driver and the co-passengers. In this paper, we discuss the maximum physiological parameters that an oximeter installed in the steering wheel of an automobile can measure. A pulse oximeter which is normally used for measuring blood oxygen saturation is exposed to magnetic fields to obtain the blood viscosity, which is an essential parameter to keep the body haemodynamically stable. RGB color band analysis is made on the oximeter output in order to obtain the electro-cardiac signals from the Green band. Measurement of respiration rate is done by amplitude and frequency modulation of the light signal [1]. In case of cardiac arrest, the vehicle is changed to cruise control mode and the measured parameters will be sent to any nearby hospitals for assistance using GPS. The RFID tags are also used to communicate to the nearby vehicles to alert other drivers for emergency assistance. Each and every vehicle is equipped with automatic external defibrillator (AED) with detailed instructions on how to operate the AED, in order to defibrillate a person in cardiac arrest.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129797400","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 : 2012-12-31DOI: 10.1109/ICCCNT.2012.6395958
S. Muttan, Durai Arun Pannir Selvam, K. Sankaran
Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.
{"title":"Image analysis system for 96-well plate fluorescence assays","authors":"S. Muttan, Durai Arun Pannir Selvam, K. Sankaran","doi":"10.1109/ICCCNT.2012.6395958","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395958","url":null,"abstract":"Fluorescence Assays in 96-well format are becoming routine in laboratory and clinical procedures. So there is a necessity for developing a method capable of high throughput analysis at affordable cost for manufacturing of less expensive readers. This paper focuses on an image based analysis system to for a fluorescent transport liquid assay performed in a 96-well microtiter plate which is acquired as an image by Digital Camera. The Acquired Image is passed on to a developed Image Analysis System incorporating the Neural Network Architecture which categorizes the result as Fast Efflux, Medium Efflux and Slow Efflux.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525991","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396031
M. Rajesh, G. R. Gangadevi, R. Sugavanam
Sensor networks are a promising innovative technology to enable economically viable solutions to a variety of applications, for example pollution sensing, structural integrity monitoring, and traffic monitoring. A large subset of sensor network applications requires security, especially if the sensor network protects or monitors critical infrastructures. Unfortunately, the simplicity and low-cost of the sensors eases cloning and create a sibling of compromised nodes by attackers. These ID based assaults are the entry point to a large span of insidious attacks. In such circumstances, an adversary uses the credentials of a compromised node to surreptitiously introduce anomalies into the network. These infected nodes are then used to launch a variety of attacks that subvert the goal of the sensor application, and the operation of the underlying protocols. The detection of such attacks in a wireless sensor network is therefore a fundamental problem. Intension of this work is insinuate a new environs based beamforming approach (ESMS) to detect both clone and Sybil attack with the same strategy.
{"title":"On recognizing ID based attacks using environs and beam forming approach for wireless sensor networks","authors":"M. Rajesh, G. R. Gangadevi, R. Sugavanam","doi":"10.1109/ICCCNT.2012.6396031","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396031","url":null,"abstract":"Sensor networks are a promising innovative technology to enable economically viable solutions to a variety of applications, for example pollution sensing, structural integrity monitoring, and traffic monitoring. A large subset of sensor network applications requires security, especially if the sensor network protects or monitors critical infrastructures. Unfortunately, the simplicity and low-cost of the sensors eases cloning and create a sibling of compromised nodes by attackers. These ID based assaults are the entry point to a large span of insidious attacks. In such circumstances, an adversary uses the credentials of a compromised node to surreptitiously introduce anomalies into the network. These infected nodes are then used to launch a variety of attacks that subvert the goal of the sensor application, and the operation of the underlying protocols. The detection of such attacks in a wireless sensor network is therefore a fundamental problem. Intension of this work is insinuate a new environs based beamforming approach (ESMS) to detect both clone and Sybil attack with the same strategy.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116868154","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6396081
A. Sundhar, P. Dananjayan
Multicarrier CDMA (MC-CDMA) technology is the one of the major key solution for the development in future wireless communication systems. The further improvement of data transmission with the limited bandwidth is achieved by multiple-input multiple-output (MIMO) structure. The MC-CDMA system is subject to limiting factors such as multiple-access Interference (MAI) and inters carrier interference (ICI) and these interferences diminish attainable throughput performance. The transmission strategy to avoid the interference noise is by its power allocation to each user. The Game theory is an effective tool for examining power control problem in the MCCDMA technology with imperfect channel state information. The water filling algorithm in game theory is used to allocate proper power for every sub-channel in order to improve channel capacity. In this paper iterative water filling power control algorithm to allocate power for each user is adopted in MCCDMA-MIMO system. The water filling algorithm distributes power among all users with the help of SINR that is received by the transmitter instead of getting full channel state information. The capacity enhancement in MCCDMA is evaluated with and without water filling algorithm and further performance improvements are analyzed by transmitting through MIMO system.
{"title":"Capacity enhancement in MCCDMA-MIMO system using iterative water filling approach based power distribution method","authors":"A. Sundhar, P. Dananjayan","doi":"10.1109/ICCCNT.2012.6396081","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6396081","url":null,"abstract":"Multicarrier CDMA (MC-CDMA) technology is the one of the major key solution for the development in future wireless communication systems. The further improvement of data transmission with the limited bandwidth is achieved by multiple-input multiple-output (MIMO) structure. The MC-CDMA system is subject to limiting factors such as multiple-access Interference (MAI) and inters carrier interference (ICI) and these interferences diminish attainable throughput performance. The transmission strategy to avoid the interference noise is by its power allocation to each user. The Game theory is an effective tool for examining power control problem in the MCCDMA technology with imperfect channel state information. The water filling algorithm in game theory is used to allocate proper power for every sub-channel in order to improve channel capacity. In this paper iterative water filling power control algorithm to allocate power for each user is adopted in MCCDMA-MIMO system. The water filling algorithm distributes power among all users with the help of SINR that is received by the transmitter instead of getting full channel state information. The capacity enhancement in MCCDMA is evaluated with and without water filling algorithm and further performance improvements are analyzed by transmitting through MIMO system.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125128989","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395924
D. Murugan, M. Madhan, S. Piramasubramanian
This paper presents the design of 4X1 and 4X2 microstrip array antenna structures for 10GHz applications. The antennas with inset feed structures and micro strip line corporate feeding network is developed and simulated using Advanced Design System (ADS) software. Both the schemes provide better gain, i.e. 12.56dBi and 13.89dBi. However, the 4X2 inset feed antenna shows a 1.3dB improvement in the gain and 50MHz improvement in 10dB bandwidth characteristics, when compared to the 4X1 case.
{"title":"Design and performance prediction of 10GHz micro strip array antenna structures","authors":"D. Murugan, M. Madhan, S. Piramasubramanian","doi":"10.1109/ICCCNT.2012.6395924","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395924","url":null,"abstract":"This paper presents the design of 4X1 and 4X2 microstrip array antenna structures for 10GHz applications. The antennas with inset feed structures and micro strip line corporate feeding network is developed and simulated using Advanced Design System (ADS) software. Both the schemes provide better gain, i.e. 12.56dBi and 13.89dBi. However, the 4X2 inset feed antenna shows a 1.3dB improvement in the gain and 50MHz improvement in 10dB bandwidth characteristics, when compared to the 4X1 case.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907601","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6477850
M. Abouelenien, Xiaohui Yuan, P. Duraisamy, Xiaojing Yuan
Data imbalance is a common property in many medical and biological data and usually results in degraded generalization performance. In this article, we present a novel boosting method to address two important questions in learning from imbalanced dataset: how to maximize the performance of classifying the minority instances without compromising the performance for the majority instances? and how to select training instances to achieve a comprehensive representation of the data distribution and avoid high computational time? Our method maximizes the usage of the available samples with priority given to the minority samples. The base classifiers are weighted with their sensitivities derived from the training examples. Using synthetic and real-world datasets, we demonstrated the performance improvement of our method in both sensitivity and accuracy without major reduction in specificity. In contrast to AdaBoost, our method took much less time, which makes it applicable in real-world problems that have large amount of data.
{"title":"Improving classification performance for the minority class in highly imbalanced dataset using boosting","authors":"M. Abouelenien, Xiaohui Yuan, P. Duraisamy, Xiaojing Yuan","doi":"10.1109/ICCCNT.2012.6477850","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6477850","url":null,"abstract":"Data imbalance is a common property in many medical and biological data and usually results in degraded generalization performance. In this article, we present a novel boosting method to address two important questions in learning from imbalanced dataset: how to maximize the performance of classifying the minority instances without compromising the performance for the majority instances? and how to select training instances to achieve a comprehensive representation of the data distribution and avoid high computational time? Our method maximizes the usage of the available samples with priority given to the minority samples. The base classifiers are weighted with their sensitivities derived from the training examples. Using synthetic and real-world datasets, we demonstrated the performance improvement of our method in both sensitivity and accuracy without major reduction in specificity. In contrast to AdaBoost, our method took much less time, which makes it applicable in real-world problems that have large amount of data.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116105837","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6395976
D. Murugesan, T. Rao
For the next generation wireless local area networks (WLAN) and wireless personal area networks (WPAN), 60 GHz radio channel propagation characteristics in typical indoor corridor environments are addressed in this paper using Matlab simulations of ray-tracing, ITU-R model and full-3D ray-tracing model of Wireless Insite. Pathloss and rms delay spreadobtained through simulations of models foromnidirectional and horn antennasare presented.
{"title":"Indoor corridor radio propagation characteristics at 60 GHz for wireless communications","authors":"D. Murugesan, T. Rao","doi":"10.1109/ICCCNT.2012.6395976","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6395976","url":null,"abstract":"For the next generation wireless local area networks (WLAN) and wireless personal area networks (WPAN), 60 GHz radio channel propagation characteristics in typical indoor corridor environments are addressed in this paper using Matlab simulations of ray-tracing, ITU-R model and full-3D ray-tracing model of Wireless Insite. Pathloss and rms delay spreadobtained through simulations of models foromnidirectional and horn antennasare presented.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122603049","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6511065
Mrs E Hemalatha, Jai Kumari, Kannammal A
Wireless sensor networks are now widely used in military surveillance, industrial applications and civilian uses such as pollution control, forest fire detection, farming etc. The design of wireless network varies from application to application. These networks are vulnerable to external threats that may try to gain unauthorized access with malicious intent. The wireless network also has design similarities with adhoc network. In this paper deals with the different security algorithms that exist in wireless network. It also provides analysis for conclusions of the selection of appropriate security algorithm towards improving the trust among users in wireless network. Security issues exist at node level, network level and user level. The security algorithms have been analyzed for wireless networks in different directions and research directions of the analysis has been presented.
{"title":"Analysis of security algorithms towards secured communication in wireless networks","authors":"Mrs E Hemalatha, Jai Kumari, Kannammal A","doi":"10.1109/ICCCNT.2012.6511065","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6511065","url":null,"abstract":"Wireless sensor networks are now widely used in military surveillance, industrial applications and civilian uses such as pollution control, forest fire detection, farming etc. The design of wireless network varies from application to application. These networks are vulnerable to external threats that may try to gain unauthorized access with malicious intent. The wireless network also has design similarities with adhoc network. In this paper deals with the different security algorithms that exist in wireless network. It also provides analysis for conclusions of the selection of appropriate security algorithm towards improving the trust among users in wireless network. Security issues exist at node level, network level and user level. The security algorithms have been analyzed for wireless networks in different directions and research directions of the analysis has been presented.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147326","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 : 2012-07-26DOI: 10.1109/ICCCNT.2012.6512436
Aditi Agarwal, P. A., S. S, Shashidhara L
With increasing use of technology to aid human health care has opened up lot many challenges and opportunities in the field of telecommunication engineering. In this paper an effort is made for the development and implementation of wireless body area networks on an embedded platform. Wearable sensors placed at different organs of the body and signals are captured and transmitted using WBAN (Wireless Body Area Network). A microcontroller is used to coordinate the process. The parameters considered here are the heartbeat and the temperature level of the body. The microcontroller monitors the values of these two parameters using sensors interfaced to it for all possible cases of arrhythmia (slow, fast and irregular heart beat). On exceeding the threshold values in case of slow or fast heart beat the GSM modem interfaced to it is triggered, to send warning or alert messages to the doctor. And simultaneously monitoring the temperature levels of the patient will help us in monitoring the irregular heart beat.
{"title":"An embedded system for determining arrhythmia","authors":"Aditi Agarwal, P. A., S. S, Shashidhara L","doi":"10.1109/ICCCNT.2012.6512436","DOIUrl":"https://doi.org/10.1109/ICCCNT.2012.6512436","url":null,"abstract":"With increasing use of technology to aid human health care has opened up lot many challenges and opportunities in the field of telecommunication engineering. In this paper an effort is made for the development and implementation of wireless body area networks on an embedded platform. Wearable sensors placed at different organs of the body and signals are captured and transmitted using WBAN (Wireless Body Area Network). A microcontroller is used to coordinate the process. The parameters considered here are the heartbeat and the temperature level of the body. The microcontroller monitors the values of these two parameters using sensors interfaced to it for all possible cases of arrhythmia (slow, fast and irregular heart beat). On exceeding the threshold values in case of slow or fast heart beat the GSM modem interfaced to it is triggered, to send warning or alert messages to the doctor. And simultaneously monitoring the temperature levels of the patient will help us in monitoring the irregular heart beat.","PeriodicalId":364589,"journal":{"name":"2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116727491","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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