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Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics

Date 5-7 Jan. 2012

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Displaying Results 1 - 25 of 262
  • Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics [Cover]

    Publication Year: 2012, Page(s): c1
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  • Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics [Title page]

    Publication Year: 2012, Page(s): 1
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  • Copyright (c) 2012 by The Institute of Electrical and Electronics Engineers, Inc. All Rights Reserved [Copyright notice]

    Publication Year: 2012, Page(s): 1
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  • Table of contents

    Publication Year: 2012, Page(s): 1
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  • Welcome message

    Publication Year: 2012, Page(s):1 - 2
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  • BHI2012 conference committee

    Publication Year: 2012, Page(s):3 - 4
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  • IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) [Conference Program]

    Publication Year: 2012, Page(s):5 - 7
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  • BHI'12 floor plan

    Publication Year: 2012, Page(s): 8
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  • Conference advisors and VIPs

    Publication Year: 2012, Page(s): 9
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  • Invited keynote speaker

    Publication Year: 2012, Page(s):10 - 35
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  • Programme by chronology (BHI 2012 pre-conference workshop)

    Publication Year: 2012, Page(s):36 - 55
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  • Robustly separating sound components in human body based on 2-ch ICA and EM algorithm with dirichlet distribution

    Publication Year: 2012, Page(s):56 - 59
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1231 KB) | HTML iconHTML

    An algorithm to separate breath sounds (BS), blood stream sounds (BSS), and heart sounds (HS) from sound components in the human body (biosignals) is introduced as a pre-process for detecting circulatory disease such as auricular fibrillation (AF), arteriosclerosis and apnea syndrome. Existing methods in the time-frequency model have been proposed to analyze biosignals with microphone sensors to o... View full abstract»

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  • Body movement in children with ADHD calculated using video images

    Publication Year: 2012, Page(s):60 - 61
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (298 KB) | HTML iconHTML

    In recent years, it has been observed that abnormal behavior in children, such as ADHD, is related to sleep disorders. Thus, it is important to monitor their sleep. A polysomnogram (PSG) is generally used for evaluating sleep patterns. However, PSG requires significant investment in terms of facilities personnel and several electrical contacts are attached to patients, and therefore, paediatric pa... View full abstract»

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  • Seizure detection by means of Hidden Markov Model and Stationary Wavelet Transform of electroencephalograph signals

    Publication Year: 2012, Page(s):62 - 65
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (723 KB) | HTML iconHTML

    In this paper, the intracranial Electroencephalograph (EEG) has been employed to detect and classify the states of seizures in human subjects. In so doing, the Stationary Wavelet Transform (SWT) has been deployed to extract features from EEG signals recorded from several patients suffering from medically intractable focal epilepsy. All together three states of seizures have been considered: (i) ic... View full abstract»

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  • EEG feature extraction using parametric and non-parametric models

    Publication Year: 2012, Page(s):66 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB) | HTML iconHTML

    We have conducted extensive review on parametric and nonparametric methods for EEG feature extraction and application. We believe that this is the first attempt to compare all methods. Our findings indicate that parametric method does not provide good performance for EEG signal while non-parametric method lack of detail information on the EEG analysis. View full abstract»

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  • Sleep stages classification using wavelettransform & neural network

    Publication Year: 2012, Page(s):71 - 74
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    In this paper the feature extraction of the EEG Signal is done by computing the Discrete Wavelet Transform. The wavelet transform coefficients compress the number of data points into few features. Various statistics were used to further reduce the dimensionality. The Classification of the EEG sleep stages is done by using neural network which provides more accurate sleep stage classification compa... View full abstract»

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  • Scatter correction in cone-beam CT based on deconvolution

    Publication Year: 2012, Page(s):75 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (742 KB) | HTML iconHTML

    Cone-beam CT has a lot of advantages such as short time reconstruction, high spatial resolution, broad irradiation and computational efficiency and so on. However, because of large area of irradiation, cone-beam CT data may process very high scatter-to-primary ratios (SPR>;2), which will result in severe cupping artifacts, streaks and CT number inaccuracies in reconstructed images. It remains d... View full abstract»

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  • Golay excitation for dual-frequency tissue harmonic imaging

    Publication Year: 2012, Page(s):79 - 81
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB) | HTML iconHTML

    Ultrasound tissue harmonic signal generally provides superior image quality as compared to the linear signal but with limited penetration and the sensitivity due to low signal-to-noise ratio (SNR). The method of third harmonic (3f0) transmit phasing can improve the tissue harmonic SNR by transmitting at both the fundamental and the 3f0 frequencies to provide mutual enhancement between the second h... View full abstract»

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  • Development of e-health network for in-home pregnancy surveillance based on artificial intelligence

    Publication Year: 2012, Page(s):82 - 84
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (619 KB) | HTML iconHTML

    The goal of the project is a telemedicine network of smart in-home monitoring systems for outpatient pregnancy surveillance to ensure early detection of pregnancy complications and fetal pathologies, as well as ubiquitous information support of pregnancy care both antenatal and intrapartum. View full abstract»

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  • Algorithm for calibration of the electromagnetic tracking system

    Publication Year: 2012, Page(s):85 - 88
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (566 KB) | HTML iconHTML

    Electromagnetic tracking systems (EMTS) are increasingly used in computer assisted surgery systems, motion capture units and military systems. The main application in the medical domain represents the support of minimally invasive surgeries. However, those electromagnetic tracking systems suffer from low accuracy and systematic errors caused by conductive and ferromagnetic media. In this paper we ... View full abstract»

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  • Developing a wireless DICOM for Osirix

    Publication Year: 2012, Page(s):89 - 92
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1101 KB) | HTML iconHTML

    This paper presents briefly the Digital Imaging and Communications in Medicine (DICOM) and its applications. Also, it describes the Osirix as freeware program available to the public which can use wireless network for sending the Osirix images. Finally, it recommends orthogonal frequency division multiplexing (OFDM) as a wireless network for sending medical images. View full abstract»

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  • ECG acquisition circuit design based on C8051F330

    Publication Year: 2012, Page(s):93 - 96
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (703 KB) | HTML iconHTML

    ECG acquisition circuit has been designed with C8051F330 as master chips, which is of high performance and low consumption. The system used the high performance op amp chips AD620 and TLV2254 together with USB interface chip FT245BL to implement 12-lead ECG acquisition and transmission conveniently. The circuit designed has advantages of simple structure, low consumption, high performance and easy... View full abstract»

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  • Enhancing low-dose CT images in the EHR based on HTML5

    Publication Year: 2012, Page(s):97 - 100
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (706 KB) | HTML iconHTML

    The Web Access to Digital Imaging and Communication in Medicine (DICOM) Persistent Objects (WADO) standard specifies a Web-based service for accessing and presenting DICOM persistent objects, such as images and medical imaging reports. This paper analyzes the image transferring mechanism of the WADO service and proposes to extend its abilities by accessing 16-bit images and incorporating a denoisi... View full abstract»

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  • Developing a hospital information system ecosystem for creating new clinical collaboration methodologies

    Publication Year: 2012, Page(s):101 - 103
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (937 KB) | HTML iconHTML

    One of the biggest challenges when developing new components or workflows for Hospital Information Systems (HIS) is the lack of a freely available stable core system with integration capabilities for various clinical and administrative subsystems. We created a prototype of an OpenEHR based HIS which can be used as a core system for the development of new clinical applications and for prototyping r... View full abstract»

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  • An emotional analysis method based on heart rate variability

    Publication Year: 2012, Page(s):104 - 107
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (913 KB) | HTML iconHTML

    In this paper, we propose a method to evaluate human's emotion and stress based on heart rate variability (HRV). Firstly, experiment scheme has been designed to induce 4 kinds of emotions and the corresponding electrocardiogram (ECG) changes have been measured in a laboratory setting; Secondly, an improved fast denoising method based on wavelet transform threshold denoising was proposed to process... View full abstract»

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