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Information Technology in Biomedicine, IEEE Transactions on

Issue 3 • Date Sept. 2000

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Displaying Results 1 - 10 of 10
  • UNWIRED E-MED: the next generation of wireless and internet telemedicine systems

    Page(s): 189 - 193
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (59 KB)  

    The movement of telemedicine to wireless and mobile Internet applications is imminent in the next few years. This migration from desktop platforms to wireless and mobile configurations will have a significant impact on future healthcare delivery systems and their globalization. Recent telecommunications and biomedical computing advances will significantly enhance the current methodologies of telemedicine and telecare systems. This editorial will present some of the evolutionary issues and important aspects that have to be considered in developing technologies for the next generation of Internet and third generation of mobile systems geared for future telemedical applications. These will provide new dimensions to existing medical services and areas of outreach that are not possible with the current generation that will have tremendous impact on how healthcare delivery will be shaped for the 21st century. View full abstract»

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  • Guest editorial special issue on mobile telemedicine and telehealth systems

    Page(s): 194
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    Freely Available from IEEE
  • Construction of a regional telementoring network for endoscopic surgery in Japan

    Page(s): 195 - 199
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (97 KB)  

    This paper introduces a regional telementoring network for endoscopic surgery in Japan. The telecommunication center was established at Osaka University and it has been operational since 1997 using six ISDN B-channels. The network, composed of five remote hospitals, aimed at tele-educating young surgeons in constituent hospitals, was applied not only to tele-education in routine endoscopic surgery, but also to telementoring in advanced operations. As the significance of telementoring in surgery has been gradually recognized, several networks following our model are now under consideration in other areas of Japan. Although there remain several problems with the wide and general propagation of telesurgery, such as the expenditure and privacy protection, it will be beneficial to prevent professional isolation to share the limited resources of surgical experts, and it is expected to contribute to patients receiving advanced surgical therapies. View full abstract»

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  • Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system

    Page(s): 200 - 211
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    A new integrated design approach for an optimal zonal wavelet-based ECG data compression (OZWC) method for a mobile telecardiology model is presented. The hybrid implementation issues of this wavelet method with a GSM-based mobile telecardiology system are also introduced. The performance of the mobile system with compressed ECG data segments selected from the MIT-BIH arrhythmia database is evaluated in terms of bit error rate (BER), percent rms difference (PRD), and visual clinical inspection. The compression performance analysis of the OZWC is compared with another wavelet-based (Discrete Symmetric Wavelet Compression) approach. The optimal wavelet algorithm achieved a maximum compression ratio of 18:1 with low PRD ratios. The mobile telemedical simulation results show the successful compressed ECG transmission at speeds of 100 (km/h) with BER rates of less than 10/sup -15/, providing a 73% reduction in total mobile transmission time with clinically acceptable reconstruction of the received signals. This approach will provide a framework for the design and functionality issues of GSM-based wireless telemedicine systems with wavelet compression techniques and their future integration for the next generation of mobile telecardiology systems. View full abstract»

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  • A Web-based TelePACS using an asymmetric satellite system

    Page(s): 212 - 215
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    We have developed a WWW-based TelePACS that can access every permitted PACS server via the Internet. Java programming techniques were used to implement the system, which can access and retrieve medical information and images through Web browsers such as netscape without specific tools. We also have developed a consolidator that performs as a manager to connect a conventional PACS server to a Web-based TelePACS server. We have developed the asymmetric satellite data communication system (ASDCS) as a fast communication system. The ASDCS uses a receive-only satellite link for data delivery and a terrestrial network for control communication. In conclusion, we were able to develop a cost-effective and fast PACS using Web technology. Web technology expanded the scope of use for a dedicated PACS from intrahospital to public use. View full abstract»

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  • Detection of multiple sclerosis with visual evoked potentials - an unsupervised computational intelligence system

    Page(s): 216 - 224
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    This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual evoked potentials (VEPs) of normal and multiple sclerosis (MS) patients. The method combines a traditional statistical feature extractor with a fuzzy clustering method, all implemented in a parallel neural network architecture. The optimization routine, ALOPEX, is used to train the network while decreasing the livelihood of local solutions. The unsupervised system includes a feature extraction and clustering module, trained by the optimization routine ALOPEX. Through maximization of the output variance of each node, and an architecture which excludes redundancy, the feature extraction network retains the most significant Karhunen-Loeve expansion vectors. The clustering module uses a modification to the fuzzy c-means (FCM) clustering algorithms, where ALOPEX adjusts a set of cluster centers to minimize an objective error function. The result combines the power of the FCM algorithms with the advantage of a more global solution from ALOPEX. The new pattern recognition system is used to cluster the VEPs of 13 normal and 12 MS subjects. The classification with this technique can, without supervision, separate the patient population into two groups which largely correspond to the MS and control subject groups. A suitable threshold can be chosen so that the recognizer chooses no false negatives. The use of multiple stimulation patterns appears to improve the reliability of the decision. The reasoning of most neural networks in their decision making cannot easily be extracted upon the completion of training. However, due to the linearity of the network nodes, the cluster prototypes of this unsupervised system can be reconstructed to illustrate the reasoning of the system. In this application, this analysis hints at the usefulness of previously unused portions of the VEP in detecting MS. It also indicates a possible use of the system as a training aide. View full abstract»

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  • A family competition evolutionary algorithm for automated docking of flexible ligands to proteins

    Page(s): 225 - 237
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    We study an evolutionary algorithm for flexible ligand docking. Based on family competition and adaptive rules, the proposed approach consists of global and local strategies by integrating decreasing mutations and self-adaptive mutations. To demonstrate the robustness of the proposed approach, we apply it to the problems of the first international contests on evolutionary optimization. Following the description of function optimization, our approach is applied to a dihydrofolate reductase enzyme with the anti-cancer drug methotrexate and with two analogs of the antibacterial drug trimethoprim. Our numerical results indicate that the proposed approach is robust. The docked lowest energy structures have rms derivations ranging from 0.72 A to 1.98 A with respect to the corresponding crystal structure. View full abstract»

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  • Simulated generation of evoked potentials components using networks with distinct excitatory and inhibitory neurons

    Page(s): 238 - 246
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    Long latency evoked potentials (EPs) are electrical potentials related to brain information processing mechanisms. A three-layered neurophysiologically based artificial neural network model is presented whose neurons obey to Dale's law. The first two layers of the network can memorize and recall sparsely coded patterns, oscillating at biologically plausible frequencies. Excitatory low-pass filtering synapses, from the second to the third layer, create evoked current dipoles, when the network retrieves memories related to stimuli. Based on psychophysiological indications, simulated intracranial dipoles are straightforwardly transformed into long latency EP components such as N/sub 100/ and P/sub 300/ that match laboratory-measured scalp EPs. View full abstract»

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  • Application of an object-oriented programming paradigm in three-dimensional computer modeling of mechanically active gastrointestinal tissues

    Page(s): 247 - 258
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    The aim of this study was to develop a novel three-dimensional (3-D) object oriented modeling approach incorporating knowledge of the anatomy, electrophysiology, and mechanics of externally stimulated excitable gastrointestinal (GI) tissues and emphasizing the "stimulus-response" principle of extracting the modeling parameters. The modeling method used clusters of class hierarchies representing GI tissues from three perspectives: 1) anatomical; 2) electrophysiological; and 3) mechanical. We elaborated on the first four phases of the object-oriented system development life-cycle: 1) analysis; 2) design; 3) implementation; and 4) testing. Generalized cylinders were used for the implementation of 3-D tissue objects modeling the cecum, the descending colon, and the colonic circular smooth muscle tissue. The model was tested using external neural electrical tissue excitation of the descending colon with virtual implanted electrodes and the stimulating current density distributions over the modeled surfaces were calculated. Finally, the tissue deformations invoked by electrical stimulation were estimated and represented by a mesh-surface visualization technique. View full abstract»

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  • An adaptive 3-D discrete cosine transform coder for medical image compression

    Page(s): 259 - 263
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (183 KB)  

    A new three-dimensional (3-D) discrete cosine transform (DCT) coder for medical images is presented. In the proposed method, a segmentation technique based on the local energy magnitude is used to segment subblocks of the image into different energy levels. Then, those subblocks with the same energy level are gathered to form a 3-D cuboid. Finally, 3-D DCT is employed to compress the 3-D cuboid individually. Simulation results show that the reconstructed images achieve a bit rate lower than 0.25 bit per pixel even when the compression ratios are higher than 35. As compared with the results by JPEG and other strategies, it is found that the proposed method achieves better qualities of decoded images. View full abstract»

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Aims & Scope

The IEEE Transactions on Information Technology in Biomedicine publishes basic and applied papers of information technology applications in health, healthcare and biomedicine.

 

This Transaction ceased publication in 2012. The current retitled publication is IEEE Journal of Biomedical and Health Informatics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Yuan-ting Zhang
427, Ho Sin Hang Engineering Building, The Chinese
University of Hong Kong, Shatin, NT, Hong Kong
ytzhang@ee.cuhk.edu.hk
Phone:+852 2609-8458
Fax:+852 2609-5558