Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system

Chowdhury, Arshad; Chien, Hung‐Chang; Khire, Sourabh; Fan, Shu‐Hao; Tang, Xianfeng; Jayant, N.; Chang, Gee‐Kung

doi:10.1109/wowmom.2010.5534984

Cited by 11 publications

(8 citation statements)

References 10 publications

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“…Multidisciplinary science efforts, technologies like Hadoop [113], OpenStack [114], Elastic Cloud Computing [115], Pipeline workflow systems [32, 116] and super high-bandwidth networking [117, 118] will be critical for riding this storm and uncovering novel biomedical knowledge. Embracing the science interactome (the multidisciplinary interactions between biomedical, computational and basic scientific areas, which often lead to new discoveries) will also be essential for establishing, maintaining and expanding the cyclical flow from Biomedical Challenges ↔ Scientific Models ↔ Data Analysis ↔ Computational Infrastructure ↔ Sustainable Education.…”

Section: Discussionmentioning

confidence: 99%

The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools

Dinov

Petrosyan

Liu

et al. 2013

Brain Imaging and Behavior

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The volume, diversity and velocity of biomedical data are exponentially increasing providing petabytes of new neuroimaging and genetics data every year. At the same time, tens-of-thousands of computational algorithms are developed and reported in the literature along with thousands of software tools and services. Users demand intuitive, quick and platform-agnostic access to data, software tools, and infrastructure from millions of hardware devices. This explosion of information, scientific techniques, computational models, and technological advances leads to enormous challenges in data analysis, evidence-based biomedical inference and reproducibility of findings. The Pipeline workflow environment provides a crowd-based distributed solution for consistent management of these heterogeneous resources. The Pipeline allows multiple (local) clients and (remote) servers to connect, exchange protocols, control the execution, monitor the states of different tools or hardware, and share complete protocols as portable XML workflows. In this paper, we demonstrate several advanced computational neuroimaging and genetics case-studies, and end-to-end pipeline solutions. These are implemented as graphical workflow protocols in the context of analyzing imaging (sMRI, fMRI, DTI), phenotypic (demographic, clinical), and genetic (SNP) data.

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Section: Discussionmentioning

confidence: 99%

The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools

Dinov

Petrosyan

Liu

et al. 2013

Brain Imaging and Behavior

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“…For example, in medical scenarios, a single whole-slide image file occupies >15 GB. Moreover, the accumulated file size enlarges to terabytes when multiple focal planes (Z-stack images) are included [2].…”

Section: Introductionmentioning

confidence: 99%

“…Teleradiological systems transmit medical images to medical centers for telesurgery, remote patient monitoring, and remote health diagnoses [1], [2]. This requires highresolution multi-frame medical images to be transmitted remotely for diagnostic purposes.…”

Section: Introductionmentioning

confidence: 99%

Towards a Low Complexity Scheme for Medical Images in Scalable Video Coding

et al. 2020

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Medical imaging has become of vital importance for diagnosing diseases and conducting noninvasive procedures. Advances in eHealth applications are challenged by the fact that Digital Imaging and Communications in Medicine (DICOM) requires high-resolution images, thereby increasing their size and the associated computational complexity, particularly when these images are communicated over IP and wireless networks. Therefore, medical research requires an efficient coding technique to achieve high-quality and low-complexity images with error-resilient features. In this study, we propose an improved coding scheme that exploits the content features of encoded videos with low complexity combined with flexible macroblock ordering for error resilience. We identify the homogeneous region in which the search for optimal macroblock modes is early terminated. For non-homogeneous regions, the integration of smaller blocks is employed only if the vector difference is less than the threshold. Results confirm that the proposed technique achieves a considerable performance improvement compared with existing schemes in terms of reducing the computational complexity without compromising the bit-rate and peak signal-to-noise ratio.INDEX TERMS eHealth, medical imaging, scalable video coding, flexible macroblock ordering, slice coding, low complexity.

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“…Passive optical network (PON) is promising for providing wired services, while radio-over-fiber (ROF) is an important technique for providing wireless services in the optical domain. The simultaneous generation and transmission of both signals for PON and ROF for the convergent optical wired and wireless has been proposed and demonstrated [1][2][3][4][5][6][7][8][9][10]. The scheme reported in [8] only needs a single electro-absorption modulator (EAM) to produce baseband and ROF signal simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Convergent optical wired and wireless long-reach access network using high spectral-efficient modulation

Chow

Lin

2012

Opt. Express

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To provide broadband services in a single and low cost perform, the convergent optical wired and wireless access network is promising. Here, we propose and demonstrate a convergent optical wired and wireless long-reach access networks based on orthogonal wavelength division multiplexing (WDM). Both the baseband signal and the radio-over-fiber (ROF) signal are multiplexed and de-multiplexed in optical domain, hence it is simple and the operation speed is not limited by the electronic bottleneck caused by the digital signal processing (DSP). Error-free de-multiplexing and down-conversion can be achieved for all the signals after 60 km (long-reach) fiber transmission. The scalability of the system for higher bit-rate (60 GHz) is also simulated and discussed.

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Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system

Cited by 11 publications

References 10 publications

The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools

The perfect neuroimaging-genetics-computation storm: collision of petabytes of data, millions of hardware devices and thousands of software tools

Towards a Low Complexity Scheme for Medical Images in Scalable Video Coding

Convergent optical wired and wireless long-reach access network using high spectral-efficient modulation

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