Pub Date : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279718
Hyungkwan Kwon, Kyunghyun Lee, K. You
In recent years, the interest in unmanned aerial vehicles (UAVs) has been increasing around the world. These vehicles are used in various applications from military operations to civilian tasks. Quadrotor, also called as a quadcopter, is one of the different types of UAVs. Quadrotor can fly more stable than helicopter and the flight control is more convenient. In UAVs, the most basic and salient point is the attitude control for stability. This paper estimates quadrotor's attitude by extended Kalman filter (EKF) and presents the design procedure of a sliding mode control (SMC) to focus on stabilization. The performance and effectiveness of the proposed system are verified through a simulation study.
{"title":"EKF based sliding mode control for a quadrotor attitude stabilization","authors":"Hyungkwan Kwon, Kyunghyun Lee, K. You","doi":"10.1109/ICIIBMS.2017.8279718","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279718","url":null,"abstract":"In recent years, the interest in unmanned aerial vehicles (UAVs) has been increasing around the world. These vehicles are used in various applications from military operations to civilian tasks. Quadrotor, also called as a quadcopter, is one of the different types of UAVs. Quadrotor can fly more stable than helicopter and the flight control is more convenient. In UAVs, the most basic and salient point is the attitude control for stability. This paper estimates quadrotor's attitude by extended Kalman filter (EKF) and presents the design procedure of a sliding mode control (SMC) to focus on stabilization. The performance and effectiveness of the proposed system are verified through a simulation study.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127041248","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279744
K. Sirikasemsuk, K. Leerojanaprapa
A balanced incomplete block design (BIBD) is the effective way to help analyze a treatment variable and one block variable under the condition where experimental units are limited. This paper considered the symmetric balanced incomplete block design (SBIBD) with t treatments and t blocks of size t-1. The trouble of analysis is caused if another one missing value unintentionally occurs in the experiments. The SBIBD with another one missing value was analyzed by means of the exact approach, i.e., the general regression significance testing procedure. There was no ready-made formula in the past. Hence, the paper provided the mathematical formulae for the fitted parameters and the regression sum of squares for the full effect model of experimental data.
{"title":"Regression sum of squares of symmetric balanced incomplete block design consisting of another one missing observation by accident","authors":"K. Sirikasemsuk, K. Leerojanaprapa","doi":"10.1109/ICIIBMS.2017.8279744","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279744","url":null,"abstract":"A balanced incomplete block design (BIBD) is the effective way to help analyze a treatment variable and one block variable under the condition where experimental units are limited. This paper considered the symmetric balanced incomplete block design (SBIBD) with t treatments and t blocks of size t-1. The trouble of analysis is caused if another one missing value unintentionally occurs in the experiments. The SBIBD with another one missing value was analyzed by means of the exact approach, i.e., the general regression significance testing procedure. There was no ready-made formula in the past. Hence, the paper provided the mathematical formulae for the fitted parameters and the regression sum of squares for the full effect model of experimental data.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096430","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279728
V. Patanavijit, K. Thakulsukanant
From the great requisitions of the modern digital image implementations, the refined spatial image is normally desired nevertheless the observed device for high resolution is ultimately overpriced thereby the SRR (Super Resolution Reconstruction) technique, which is founded on the arithmetical establishment for creating the better refined spatial image, is one of the modern scrutinized topics in DIP (Digital Image Processsing) and DSP (Digital Signal Processing) communities. In consideration of ultraexpansion ratio (at 16x), this research article aims to present a modern spatial enhancing method decreed on a robust MSRR (Multiframe Super Resolution), which is constituted on the ML (Maximum Likelihood) regularization with robust Andrew's Sine function, and a SSRR (Single Frame Super Resolution), which is constituted on high-band spectrum appraisement. Initially, for concealing outlier whereas preserving the region border, a sequence of captured images with poor quality is computed by a robust MSRR (Multi-Frame Super Resolution) for creating the better refined spatial image at 4x expansion ratio. Next, this enlarged image is computed by high-band spectrum appraisement SSRR (Single-Frame Super Resolution) for ultimately creating the refined spatial image at 16x expansion ratio. The comprehensive verification outcomes embellish that the modern spatial enhancing method can create the 16x spatial image with better refined information and less outlier.
{"title":"A modern spatial enhancing method decreed on a robust MSRR and high-frequency synthesized SSRR for ultra-expansion ratio","authors":"V. Patanavijit, K. Thakulsukanant","doi":"10.1109/ICIIBMS.2017.8279728","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279728","url":null,"abstract":"From the great requisitions of the modern digital image implementations, the refined spatial image is normally desired nevertheless the observed device for high resolution is ultimately overpriced thereby the SRR (Super Resolution Reconstruction) technique, which is founded on the arithmetical establishment for creating the better refined spatial image, is one of the modern scrutinized topics in DIP (Digital Image Processsing) and DSP (Digital Signal Processing) communities. In consideration of ultraexpansion ratio (at 16x), this research article aims to present a modern spatial enhancing method decreed on a robust MSRR (Multiframe Super Resolution), which is constituted on the ML (Maximum Likelihood) regularization with robust Andrew's Sine function, and a SSRR (Single Frame Super Resolution), which is constituted on high-band spectrum appraisement. Initially, for concealing outlier whereas preserving the region border, a sequence of captured images with poor quality is computed by a robust MSRR (Multi-Frame Super Resolution) for creating the better refined spatial image at 4x expansion ratio. Next, this enlarged image is computed by high-band spectrum appraisement SSRR (Single-Frame Super Resolution) for ultimately creating the refined spatial image at 16x expansion ratio. The comprehensive verification outcomes embellish that the modern spatial enhancing method can create the 16x spatial image with better refined information and less outlier.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124678469","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279701
Yen-Hsieh Chen, Y. Jou
Glycosylation by classic définition is a serial biochemical and enzymatic addition that a glycosyl donor attached to the hydroxyl or functional group of glycosyl acceptor, such as protein or lipid, to form a branch structure. Emerging evidences that aberrant expression of glycosylation-related genes (glycogenes) resulting in altered glycosylation targets have been identified its importance in tumor progression including invasion, migration, proliferation, angiogenesis, and metastasis, while all these components are highly correlated with clinical diagnosis and treatment. To facilitate our understanding of such genes participated in tumor progression, we construct a database OncoDB.Glycogene for developing new theranostic targets of cancers and demonstrate our text-mining based glycogene corpus with the combination of The Cancer Genome Atlas (TCGA) data to draw the interaction between abnormal glycosylation with tumor from integrated genomic viewpoints. We first showed that the coverage of 3026 glycogenes from OncoDB.Glycogene are more comprehensive and unique than other public glycogene resources with inclusion of biosynthesis, metabolism and functional participation of glycosylation such as nucleotide sugar transporter, precursors, or surveillance chaperon, from the aspects of pathway or either Gene Ontology similarity. And to comprehensively reveal glycogenes participated in cancers, we integrated cancer omics data such as copy number, methylation, gene expression with clinical features, i.e. patient survival information, from TCGA with user friendly webpage interfaces for graphic and pathway network displays. With our integrative effort we should improve our knowledge how glycosylation engage in tumor progression and facilitate development of theranostic biomarkers of cancers.
糖基化是指糖基供体与糖基受体(如蛋白质或脂质)的羟基或官能团相连，形成分支结构的一系列生化和酶的加成作用。越来越多的证据表明，糖基化相关基因(糖基因)的异常表达导致糖基化靶点改变，这在肿瘤的侵袭、迁移、增殖、血管生成和转移等过程中起着重要作用，而所有这些成分都与临床诊断和治疗高度相关。为了更好地了解这些参与肿瘤进展的基因，我们构建了一个数据库OncoDB。结合癌症基因组图谱(the Cancer Genome Atlas, TCGA)数据，展示基于文本挖掘的糖基因语料库，从综合基因组学的角度揭示异常糖基化与肿瘤之间的相互作用。我们首先从OncoDB中发现3026个糖基因的覆盖范围。糖基因包含核苷酸糖转运体、前体或监视伴侣等糖基化的生物合成、代谢和功能参与，无论从途径还是基因本体相似性方面都比其他公共糖基因资源更全面、更独特。为了全面揭示参与癌症的糖基因，我们将TCGA的癌症组学数据(如拷贝数、甲基化、基因表达)与临床特征(即患者生存信息)相结合，并通过友好的网页界面进行图形化和通路网络显示。通过我们的综合努力，我们应该提高我们对糖基化如何参与肿瘤进展的认识，并促进癌症治疗生物标志物的发展。
{"title":"OncoDB. Glycogene: An integrated cancer genomic database for glycosylation-related genes","authors":"Yen-Hsieh Chen, Y. Jou","doi":"10.1109/ICIIBMS.2017.8279701","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279701","url":null,"abstract":"Glycosylation by classic définition is a serial biochemical and enzymatic addition that a glycosyl donor attached to the hydroxyl or functional group of glycosyl acceptor, such as protein or lipid, to form a branch structure. Emerging evidences that aberrant expression of glycosylation-related genes (glycogenes) resulting in altered glycosylation targets have been identified its importance in tumor progression including invasion, migration, proliferation, angiogenesis, and metastasis, while all these components are highly correlated with clinical diagnosis and treatment. To facilitate our understanding of such genes participated in tumor progression, we construct a database OncoDB.Glycogene for developing new theranostic targets of cancers and demonstrate our text-mining based glycogene corpus with the combination of The Cancer Genome Atlas (TCGA) data to draw the interaction between abnormal glycosylation with tumor from integrated genomic viewpoints. We first showed that the coverage of 3026 glycogenes from OncoDB.Glycogene are more comprehensive and unique than other public glycogene resources with inclusion of biosynthesis, metabolism and functional participation of glycosylation such as nucleotide sugar transporter, precursors, or surveillance chaperon, from the aspects of pathway or either Gene Ontology similarity. And to comprehensively reveal glycogenes participated in cancers, we integrated cancer omics data such as copy number, methylation, gene expression with clinical features, i.e. patient survival information, from TCGA with user friendly webpage interfaces for graphic and pathway network displays. With our integrative effort we should improve our knowledge how glycosylation engage in tumor progression and facilitate development of theranostic biomarkers of cancers.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121548470","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279738
Qingyuan Tian, Lars-Göran Öfverstedt, Ulf Skoglund Structural Cellular Biology Unit
In electron microscope tomography, alignment of tilt series images is a major determinant of resolution in 3D reconstructions. One alignment method uses gold beads deposited on or in the specimen as fiducial markers. We have developed software to semi-automatically align tilt series images. It runs two processes iteratively: (1) Marker picking. In this process, it uses a cross-correlation function to determine the shift between tilt images and predicts marker coordinates. Subsequently it refines them in a local search area, and detects and corrects erroneously picked markers automatically. The coordinates of the picked markers are used to align the images. (2) Image alignment. In this process, it uses a least squares method to estimate image rotation, image shift, and image scale factor.
{"title":"Semi-automatically aligned tilt images in electron tomography","authors":"Qingyuan Tian, Lars-Göran Öfverstedt, Ulf Skoglund Structural Cellular Biology Unit","doi":"10.1109/ICIIBMS.2017.8279738","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279738","url":null,"abstract":"In electron microscope tomography, alignment of tilt series images is a major determinant of resolution in 3D reconstructions. One alignment method uses gold beads deposited on or in the specimen as fiducial markers. We have developed software to semi-automatically align tilt series images. It runs two processes iteratively: (1) Marker picking. In this process, it uses a cross-correlation function to determine the shift between tilt images and predicts marker coordinates. Subsequently it refines them in a local search area, and detects and corrects erroneously picked markers automatically. The coordinates of the picked markers are used to align the images. (2) Image alignment. In this process, it uses a least squares method to estimate image rotation, image shift, and image scale factor.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128293609","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279734
A. Masumi, Takashi Sato
Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamically changing circumstances. To explore the neural basis and computational account of this ability, a probabilistic reversal learning task was employed as the experimental paradigm. Recent studies suggest that a subject may utilize not only a reward history but also a “state representation” of a task to successfully solve one. However, the specific advantages or impact of state representations in task solving are still not fully understood. In this study, we investigated this matter by computer simulations, in which we used two types of reinforcement learning models, a model with state representations and one without. As a result of the simulations, we found that state representations make a learning agent robust against an increasingly difficult task, especially when the number of sampling time in each state is reduced. Based on the results, we propose a hypothesis for the acquisition process of state representations and discuss the experimental design to test it.
{"title":"Analyzing the advantages of utilizing state representationsin in a probabilistic reversal learning task","authors":"A. Masumi, Takashi Sato","doi":"10.1109/ICIIBMS.2017.8279734","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279734","url":null,"abstract":"Cognitive flexibility is the ability to adaptively change behaviors in the face of dynamically changing circumstances. To explore the neural basis and computational account of this ability, a probabilistic reversal learning task was employed as the experimental paradigm. Recent studies suggest that a subject may utilize not only a reward history but also a “state representation” of a task to successfully solve one. However, the specific advantages or impact of state representations in task solving are still not fully understood. In this study, we investigated this matter by computer simulations, in which we used two types of reinforcement learning models, a model with state representations and one without. As a result of the simulations, we found that state representations make a learning agent robust against an increasingly difficult task, especially when the number of sampling time in each state is reduced. Based on the results, we propose a hypothesis for the acquisition process of state representations and discuss the experimental design to test it.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"1589 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127448472","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279702
N. Bu, Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai
In recent years, prosthetic hands for amputees have seen rapid progress while myoelectric prosthetic control is facing a big challenge. It is difficult to control a multi-DOF hand only with electromyographic (EMG) signals to achieve complicated motions and natural and effortless operations, especially in the scenario of practical applications. This study proposes a semi-automatic myoelectric control method combining EMG signals with a vision-based object classifier to control a prosthetic hand. Information of target objects, such as shape features, dimensions, and postures can be obtained from images and then utilized to generate control commands for motors, in conjunction with user's muscle activities via EMG signals. EMG patterns are recognized to represent user's intension of motions. In the meanwhile, EMG power levels are used to modulate motor speed in a proportional manner. Prosthetic hand control experiments have been conducted to verify the proposed method.
{"title":"A semi-automatic control method for myoelectric prosthetic hand based on image information of objects","authors":"N. Bu, Yoshinori Bandou, O. Fukuda, H. Okumura, K. Arai","doi":"10.1109/ICIIBMS.2017.8279702","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279702","url":null,"abstract":"In recent years, prosthetic hands for amputees have seen rapid progress while myoelectric prosthetic control is facing a big challenge. It is difficult to control a multi-DOF hand only with electromyographic (EMG) signals to achieve complicated motions and natural and effortless operations, especially in the scenario of practical applications. This study proposes a semi-automatic myoelectric control method combining EMG signals with a vision-based object classifier to control a prosthetic hand. Information of target objects, such as shape features, dimensions, and postures can be obtained from images and then utilized to generate control commands for motors, in conjunction with user's muscle activities via EMG signals. EMG patterns are recognized to represent user's intension of motions. In the meanwhile, EMG power levels are used to modulate motor speed in a proportional manner. Prosthetic hand control experiments have been conducted to verify the proposed method.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131716252","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279727
Md. Khayrul Bashar
The new trend in human biometrie authentication is the development of multi-biometric system, preferably using multi-modal signals. A good strategy could be to combine ECG and EEG because of their liveliness and robustness against falsification. In this study, we propose a multi-biometric authentication method for human identification using signals from low-cost devices. EEG signal is first preprocessed using median and bandpass FIR filter to remove noise and artifacts. The baseline wandering effect of the ECG signals is tackled using median subtraction method. Every half of each signal is divided into segments with 90% overlapping. Multiscale wavelet packet decomposition is then applied to each segment and a feature vector, namely wavelet packet statistics (WPS), is computed. Features from ECG and EEG segments are combined using a feature level fusion technique. The combined feature is finally used to train a supervised error-correcting output code multiclass model (ECOC) using support vector machine (SVM) classifier, which ultimately can recognize humans from the disjoint test EEG segments. A preliminary experiment with 10 EEG records from 10 subjects shows 82.9% F-score of the proposed method.
{"title":"Integrated biometrics for human identification integrated biometrics","authors":"Md. Khayrul Bashar","doi":"10.1109/ICIIBMS.2017.8279727","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279727","url":null,"abstract":"The new trend in human biometrie authentication is the development of multi-biometric system, preferably using multi-modal signals. A good strategy could be to combine ECG and EEG because of their liveliness and robustness against falsification. In this study, we propose a multi-biometric authentication method for human identification using signals from low-cost devices. EEG signal is first preprocessed using median and bandpass FIR filter to remove noise and artifacts. The baseline wandering effect of the ECG signals is tackled using median subtraction method. Every half of each signal is divided into segments with 90% overlapping. Multiscale wavelet packet decomposition is then applied to each segment and a feature vector, namely wavelet packet statistics (WPS), is computed. Features from ECG and EEG segments are combined using a feature level fusion technique. The combined feature is finally used to train a supervised error-correcting output code multiclass model (ECOC) using support vector machine (SVM) classifier, which ultimately can recognize humans from the disjoint test EEG segments. A preliminary experiment with 10 EEG records from 10 subjects shows 82.9% F-score of the proposed method.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"89 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836678","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279715
N. Bu
Mobile health (mHealth) devices, such as smart phones and wristband fitness watches, are capable of measuring heart rate data using the photoplethysmography technology. In recent years, these devices have been used to obtain healthcare information in people's everyday life. However, it is difficult to apply traditional spectral analysis methods for the mHealth heart rate data due to the limited sampling features of mHealth devices. Data of the mHealth devices are recorded with uneven and relatively long sampling intervals, constrained by their hardware issues, i.e., processing speed, memory quantity, etc. This paper attempts to develop a stress analysis method for heart rate data obtained with mHealth devices. The heart rate data are evaluated using Poincare plot. Stress analysis indices, which are based on complex correlation measures of time-varying characteristics in Poincare plots, are examined using stress induction experiments with nine subjects.
{"title":"A stress analysis method for heart rate data of mHealth devices using poincare plot and complex correlation measures","authors":"N. Bu","doi":"10.1109/ICIIBMS.2017.8279715","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279715","url":null,"abstract":"Mobile health (mHealth) devices, such as smart phones and wristband fitness watches, are capable of measuring heart rate data using the photoplethysmography technology. In recent years, these devices have been used to obtain healthcare information in people's everyday life. However, it is difficult to apply traditional spectral analysis methods for the mHealth heart rate data due to the limited sampling features of mHealth devices. Data of the mHealth devices are recorded with uneven and relatively long sampling intervals, constrained by their hardware issues, i.e., processing speed, memory quantity, etc. This paper attempts to develop a stress analysis method for heart rate data obtained with mHealth devices. The heart rate data are evaluated using Poincare plot. Stress analysis indices, which are based on complex correlation measures of time-varying characteristics in Poincare plots, are examined using stress induction experiments with nine subjects.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123236230","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 : 2017-11-01DOI: 10.1109/ICIIBMS.2017.8279737
Chris Reinke, K. Doya
Optimization is one of the most important problems in science and engineering. Common optimization algorithms are designed to work for a large set of problems, but not necessarily to be efficient for specific domains. We propose a new transfer learning approach to adapt optimization algorithms to specific problem domains. Our approach analyzes solved problems of a domain to identify areas in the search space where good solutions are expected for this domain. Knowledge of these areas is used to improve the optimization algorithm performance of unseen problems of the same domain. Because of its general design, our method can be applied to a wide range of problems and algorithms.
{"title":"Adaptation of optimization algorithms to problem domains by transfer learning","authors":"Chris Reinke, K. Doya","doi":"10.1109/ICIIBMS.2017.8279737","DOIUrl":"https://doi.org/10.1109/ICIIBMS.2017.8279737","url":null,"abstract":"Optimization is one of the most important problems in science and engineering. Common optimization algorithms are designed to work for a large set of problems, but not necessarily to be efficient for specific domains. We propose a new transfer learning approach to adapt optimization algorithms to specific problem domains. Our approach analyzes solved problems of a domain to identify areas in the search space where good solutions are expected for this domain. Knowledge of these areas is used to improve the optimization algorithm performance of unseen problems of the same domain. Because of its general design, our method can be applied to a wide range of problems and algorithms.","PeriodicalId":122969,"journal":{"name":"2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122886910","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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