Pub Date : 2009-03-06DOI: 10.1109/CSPA.2009.5069207
N. Jafar, N. Soin
This paper presents the impact of implementing Dual Material Gate (DMG) onto a fully depleted Silicon On Insulator (SOI) device on linearity performance as compare to the standard Single Material Gate (SMG) SOI device. Linearity study performed takes into account the influences of DMG properties namely gate length ratio (L1:L2) and gate workfunction difference (ΔΦM), silicon thickness (TSi) and threshold voltage (VTH) setting simulated using ATLAS 2D. Analysis focus on gate bias condition which determine the saturation level, relevant for obtaining minimal linearity degradation. Based on results obtained, DMG device consistently show better linearity performance than its SMG counterparts with further improvement by applying higher ΔΦM and TSi.
{"title":"Dual Material Gate Silicon on Insulator (DMGSOI) - Design impact on linearity","authors":"N. Jafar, N. Soin","doi":"10.1109/CSPA.2009.5069207","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069207","url":null,"abstract":"This paper presents the impact of implementing Dual Material Gate (DMG) onto a fully depleted Silicon On Insulator (SOI) device on linearity performance as compare to the standard Single Material Gate (SMG) SOI device. Linearity study performed takes into account the influences of DMG properties namely gate length ratio (L1:L2) and gate workfunction difference (ΔΦM), silicon thickness (TSi) and threshold voltage (VTH) setting simulated using ATLAS 2D. Analysis focus on gate bias condition which determine the saturation level, relevant for obtaining minimal linearity degradation. Based on results obtained, DMG device consistently show better linearity performance than its SMG counterparts with further improvement by applying higher ΔΦM and TSi.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"61 16","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113939103","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069184
C. Hema, M. Paulraj, S. Yaacob, A. H. Adom, R. Nagarajan
Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device bypassing the peripheral nervous system and muscular system. Thus a BMI opens up possibilities for a new communication channel for people with neuromuscular disorders. The ability of an individual to control his EEG through imaginary motor tasks enables him to control devices. This paper presents a novel method for single trial motor imagery classification for a four state BMI to control a powered wheelchair. Recurrent Neural classifiers are used for classification of EEG signals during motor imagery for forward, stop, left and right hand movements. EEG is recorded using noninvasive scalp electrodes placed over the motor cortex. The performance of the proposed algorithm has an average classification efficiency of 96.15%. The proposed method can be used to translate the motor imagery signals into control signal using a four state BMI to control the directional movement of a powered wheelchair.
{"title":"Single trial motor imagery classification for a four state brain machine interface","authors":"C. Hema, M. Paulraj, S. Yaacob, A. H. Adom, R. Nagarajan","doi":"10.1109/CSPA.2009.5069184","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069184","url":null,"abstract":"Motor imagery is the mental simulation of a motor act which can be used to design brain machine interfaces [BMI]. A BMI is a digital communication system, which connects the human brain directly to an external device bypassing the peripheral nervous system and muscular system. Thus a BMI opens up possibilities for a new communication channel for people with neuromuscular disorders. The ability of an individual to control his EEG through imaginary motor tasks enables him to control devices. This paper presents a novel method for single trial motor imagery classification for a four state BMI to control a powered wheelchair. Recurrent Neural classifiers are used for classification of EEG signals during motor imagery for forward, stop, left and right hand movements. EEG is recorded using noninvasive scalp electrodes placed over the motor cortex. The performance of the proposed algorithm has an average classification efficiency of 96.15%. The proposed method can be used to translate the motor imagery signals into control signal using a four state BMI to control the directional movement of a powered wheelchair.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132641608","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069223
Minghui Wang, T. Zhang, Chen Liu, S. Goto
H.264 is the state-of-the-art in modern video compression standards. Its extremely high compression ratio meets the requirements the video communication between portable devices. Since the power is limited in portable devices, the huge computation of H.264 is a critical problem for hardware design. According to the human visual system (HVS) research, human vision is only able to focus on one area in a frame, which is defined as region-of-interest (ROI). In most cases, human face attracts the most attention of the device user. This phenomenon gives a chance to code all macroblocks unequally. In this work, the ROI is detected with an encoder-oriented fast algorithm, using chrominance and texture contrast features. After the ROI is detected, the encoder will allocated the coding parameters respectively in ROI and non-ROI. As a result, it keeps fine quality in ROI, saves much throughput in non-ROI, and greatly reduces the computation. The ROI detector and the encoder are also designed to be decoding-friendly and hardware-friendly.
{"title":"Region-of-interest based H.264 encoding parameter allocation for low power video communication","authors":"Minghui Wang, T. Zhang, Chen Liu, S. Goto","doi":"10.1109/CSPA.2009.5069223","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069223","url":null,"abstract":"H.264 is the state-of-the-art in modern video compression standards. Its extremely high compression ratio meets the requirements the video communication between portable devices. Since the power is limited in portable devices, the huge computation of H.264 is a critical problem for hardware design. According to the human visual system (HVS) research, human vision is only able to focus on one area in a frame, which is defined as region-of-interest (ROI). In most cases, human face attracts the most attention of the device user. This phenomenon gives a chance to code all macroblocks unequally. In this work, the ROI is detected with an encoder-oriented fast algorithm, using chrominance and texture contrast features. After the ROI is detected, the encoder will allocated the coding parameters respectively in ROI and non-ROI. As a result, it keeps fine quality in ROI, saves much throughput in non-ROI, and greatly reduces the computation. The ROI detector and the encoder are also designed to be decoding-friendly and hardware-friendly.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133453454","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069191
N. A. Othman, N. S. Damanhuri, V. Kadirkamanathan
This project presents a detail review of the subject fault diagnosis; feature extraction, dimensionality reduction and fault classification are being discussed. This project focuses on the faulty bearing which mainly caused by mass imbalance and axis misalignment. By analyzing the vibration signal obtained from the test rigs (rigs that are built to demonstrate the effect of faults in rotating machinery), it gives solid information concerning any faults within the rotating machinery.
{"title":"The study of fault diagnosis in rotating machinery","authors":"N. A. Othman, N. S. Damanhuri, V. Kadirkamanathan","doi":"10.1109/CSPA.2009.5069191","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069191","url":null,"abstract":"This project presents a detail review of the subject fault diagnosis; feature extraction, dimensionality reduction and fault classification are being discussed. This project focuses on the faulty bearing which mainly caused by mass imbalance and axis misalignment. By analyzing the vibration signal obtained from the test rigs (rigs that are built to demonstrate the effect of faults in rotating machinery), it gives solid information concerning any faults within the rotating machinery.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131325617","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069236
S. Sulaiman, T.K. Abdul Rahman, I. Musirin
This paper presents the optimization of one-hidden layer Artificial Neural Network (ANN) design using Evolutionary Programming (EP) for predicting the energy output of a grid-connected photovoltaic system installed at Malaysian Energy Centre (PTM), Bangi, Malaysia. In this study, the architecture and training parameters of the multi-layer feedforward back-propagation ANN model had been optimized while the prediction performance of the ANN was maximized. The proposed Evolutionary Programming-ANN (EPANN) model employs solar radiation and ambient temperature as its inputs while the sole output is the kilowatt-hour energy output produced from the grid connected PV system. The prediction performance was quantified using the average correlation coefficient and it was maximized by determining the optimum values for the number of nodes in the hidden layer, momentum rate and learning rate during an evolutionary training. Besides searching for the optimal number of nodes and optimal training parameters for each model, the highest correlation coefficient for the prediction required for the EPANN was investigated. It was found that the maximum average correlation coefficient obtained for the EPANN training is 0.9962. Besides that, the testing process produced sufficiently high correlation coefficient value of 0.9976.
{"title":"Optimizing one-hidden layer neural network design using Evolutionary Programming","authors":"S. Sulaiman, T.K. Abdul Rahman, I. Musirin","doi":"10.1109/CSPA.2009.5069236","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069236","url":null,"abstract":"This paper presents the optimization of one-hidden layer Artificial Neural Network (ANN) design using Evolutionary Programming (EP) for predicting the energy output of a grid-connected photovoltaic system installed at Malaysian Energy Centre (PTM), Bangi, Malaysia. In this study, the architecture and training parameters of the multi-layer feedforward back-propagation ANN model had been optimized while the prediction performance of the ANN was maximized. The proposed Evolutionary Programming-ANN (EPANN) model employs solar radiation and ambient temperature as its inputs while the sole output is the kilowatt-hour energy output produced from the grid connected PV system. The prediction performance was quantified using the average correlation coefficient and it was maximized by determining the optimum values for the number of nodes in the hidden layer, momentum rate and learning rate during an evolutionary training. Besides searching for the optimal number of nodes and optimal training parameters for each model, the highest correlation coefficient for the prediction required for the EPANN was investigated. It was found that the maximum average correlation coefficient obtained for the EPANN training is 0.9962. Besides that, the testing process produced sufficiently high correlation coefficient value of 0.9976.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652743","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069208
N. Ishak, R. Othman, A. Ahmad, Y. M. Sam, A. A. Basari
This paper presents the use of backstepping controller in order to construct an active suspension for a quarter car model with observer design. The implementation of backstepping controller is presented in non-linear quarter car model for active suspension system. The movement of the rotational motion of arm has been taking into consideration for this system which has been neglected by the linear system. Backstepping control is a recursive control procedure which breaks a design problem for the full system into a sequence of a design problem for lower order systems [1]. The performance of the proposed controller will be compared with the linear quadratic regulator controller to help validate the result.
{"title":"An observer design of nonlinear quarter car model for active suspension system by using backstepping controller","authors":"N. Ishak, R. Othman, A. Ahmad, Y. M. Sam, A. A. Basari","doi":"10.1109/CSPA.2009.5069208","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069208","url":null,"abstract":"This paper presents the use of backstepping controller in order to construct an active suspension for a quarter car model with observer design. The implementation of backstepping controller is presented in non-linear quarter car model for active suspension system. The movement of the rotational motion of arm has been taking into consideration for this system which has been neglected by the linear system. Backstepping control is a recursive control procedure which breaks a design problem for the full system into a sequence of a design problem for lower order systems [1]. The performance of the proposed controller will be compared with the linear quadratic regulator controller to help validate the result.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131933995","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069193
A. Samad, Siti Zubaidah Bahari, Siti Aishah Abd Rahim, K. A. Hashim
The Digital Close Range Photogrammetric (DCRP) approach in image processing has been used for documentation of cultural heritage (façade mapping) and restoration of heritage monuments for many years. The DCRP approach offers an automatic measurement process, 3D vector data, digital orthophotos and digital surface models of heritage monument, beside an alternative of the old traditional approach. Conservation and reconstructions of heritage buildings has been an important part of cultural heritage, by preparing and producing the heritage buildings façades map using appropriate geomatic image processing technology. Heritage buildings are usually characterized as an irregular geometry where it surface is complex. In this context, the DCRP approach is very applicable to be implemented. The Istana Bukit Jugra, also well known as Istana Bandar, which was built in 1915 is one of the heritage building at Selangor Darul Ehsan. Located in Kampong Bandar, the Istana Bandar or Town Palace was built by Sultan Alauddin Shah. In this paper overall view of documentation (façade mapping) for cultural heritage by using DCRP approach and general aspects of documentation of cultural heritage are presented for the Istana Bukit Jugra. The final output is a digital facade plan/map of front view of the palace together with the 3D data information consists of X, Y and Z coordinates.
{"title":"Image processing for facade mapping using Digital Close Range Photogrammetric (DCRP) approach","authors":"A. Samad, Siti Zubaidah Bahari, Siti Aishah Abd Rahim, K. A. Hashim","doi":"10.1109/CSPA.2009.5069193","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069193","url":null,"abstract":"The Digital Close Range Photogrammetric (DCRP) approach in image processing has been used for documentation of cultural heritage (façade mapping) and restoration of heritage monuments for many years. The DCRP approach offers an automatic measurement process, 3D vector data, digital orthophotos and digital surface models of heritage monument, beside an alternative of the old traditional approach. Conservation and reconstructions of heritage buildings has been an important part of cultural heritage, by preparing and producing the heritage buildings façades map using appropriate geomatic image processing technology. Heritage buildings are usually characterized as an irregular geometry where it surface is complex. In this context, the DCRP approach is very applicable to be implemented. The Istana Bukit Jugra, also well known as Istana Bandar, which was built in 1915 is one of the heritage building at Selangor Darul Ehsan. Located in Kampong Bandar, the Istana Bandar or Town Palace was built by Sultan Alauddin Shah. In this paper overall view of documentation (façade mapping) for cultural heritage by using DCRP approach and general aspects of documentation of cultural heritage are presented for the Istana Bukit Jugra. The final output is a digital facade plan/map of front view of the palace together with the 3D data information consists of X, Y and Z coordinates.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132274420","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069200
V. Asirvadam, M.J.O. Elamin
Wireless technologies have tend to become core element of system e.g. sensors and logging system. When there is an input to the system and output to predict thus identification represents an important tool in many practical engineering circumstances. The current trend is to integrate wireless technologies and system identification together in sense of having an identification element or identifier that is able to give a good description for the system dynamic when the system observations are sent to it wirelessly. The paper investigates the possibility of performing system identification over wireless network for on-line linear process system.
{"title":"Wireless system identification for linear network","authors":"V. Asirvadam, M.J.O. Elamin","doi":"10.1109/CSPA.2009.5069200","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069200","url":null,"abstract":"Wireless technologies have tend to become core element of system e.g. sensors and logging system. When there is an input to the system and output to predict thus identification represents an important tool in many practical engineering circumstances. The current trend is to integrate wireless technologies and system identification together in sense of having an identification element or identifier that is able to give a good description for the system dynamic when the system observations are sent to it wirelessly. The paper investigates the possibility of performing system identification over wireless network for on-line linear process system.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130318726","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069178
Rosheila Darus, Y. M. Sam
The purpose of this paper is to investigate the performance of a full car model active suspension system using LQR controller. Dynamic model used in this study is a linear model. A linear model can capture basic performances of vehicle suspension such as body displacement, body acceleration, wheel displacement, wheel deflection, suspension travels, pitch and yawn. Performance of suspension system is determined by the ride comfort and vehicle handling. It can be measured by car body displacement and wheel displacement performance. Two types of road profiles are used as input for the system. Simulation is based on the mathematical model by using MATLAB/SIMULINK software. Results show that the performance of body displacement and wheel displacement can be improved by using Linear Quadratic Regulator control (LQR).
{"title":"Modeling and control active suspension system for a full car model","authors":"Rosheila Darus, Y. M. Sam","doi":"10.1109/CSPA.2009.5069178","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069178","url":null,"abstract":"The purpose of this paper is to investigate the performance of a full car model active suspension system using LQR controller. Dynamic model used in this study is a linear model. A linear model can capture basic performances of vehicle suspension such as body displacement, body acceleration, wheel displacement, wheel deflection, suspension travels, pitch and yawn. Performance of suspension system is determined by the ride comfort and vehicle handling. It can be measured by car body displacement and wheel displacement performance. Two types of road profiles are used as input for the system. Simulation is based on the mathematical model by using MATLAB/SIMULINK software. Results show that the performance of body displacement and wheel displacement can be improved by using Linear Quadratic Regulator control (LQR).","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132495694","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 : 2009-03-06DOI: 10.1109/CSPA.2009.5069249
Z. H. Murat, M. Taib, Z. Hanafiah, S. Lias, R. S. S. Abdul Kadir, H. A. Rahman
This research investigates the effects of five sessions of Horizontal Rotation (HR) on human brainwaves synchronization using EEG. EEG signals were captured from 42 participants before and after undergoing HR using two-channel bipolar connection in a controlled environment. The signals were filtered and classified into the four frequency bands; Delta, Theta, Alpha and Beta. Graphs were plotted and paired T-test analysis was used to demonstrate the correlation between left and right brainwaves before and after HR to verify brainwave synchronization. It was observed that after five sessions of HR, brainwaves were more synchronized for all frequency bands with highest increment of 37% in Delta band while the lowest increment is at 6% for Theta band. Thus, there was evidence that HR could synchronize brainwaves.
{"title":"Initial investigation of brainwave synchronization after five sessions of Horizontal Rotation intervention using EEG","authors":"Z. H. Murat, M. Taib, Z. Hanafiah, S. Lias, R. S. S. Abdul Kadir, H. A. Rahman","doi":"10.1109/CSPA.2009.5069249","DOIUrl":"https://doi.org/10.1109/CSPA.2009.5069249","url":null,"abstract":"This research investigates the effects of five sessions of Horizontal Rotation (HR) on human brainwaves synchronization using EEG. EEG signals were captured from 42 participants before and after undergoing HR using two-channel bipolar connection in a controlled environment. The signals were filtered and classified into the four frequency bands; Delta, Theta, Alpha and Beta. Graphs were plotted and paired T-test analysis was used to demonstrate the correlation between left and right brainwaves before and after HR to verify brainwave synchronization. It was observed that after five sessions of HR, brainwaves were more synchronized for all frequency bands with highest increment of 37% in Delta band while the lowest increment is at 6% for Theta band. Thus, there was evidence that HR could synchronize brainwaves.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128626401","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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