The Experts below are selected from a list of 8379 Experts worldwide ranked by ideXlab platform

V. Moret-bonillo - One of the best experts on this subject based on the ideXlab platform.

  • A Continuous Evaluation of the awake sleep state using fuzzy reasoning
    2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
    Co-Authors: D. Alvarez-estevez, J. M. Fernandez-pastoriza, V. Moret-bonillo
    Abstract:

    Sleep staging is one of the most important tasks on the context of sleep studies. From more than 40 years the gold standard to the characterization of patient's sleep is the use of the rules proposed by Rechtschaffen and Kales (R&K). However this method has the limitation of the unnatural assignment of discrete stages instead of doing it in a Continuous manner. As part of a more general framework, this paper reports an automatic method for the characterization of the R&K's awake sleep stage through the use of fuzzy reasoning. A Continuous evolution of the wakefulness state of the patient during the night is provided as output.

Elisabeth Norman - One of the best experts on this subject based on the ideXlab platform.

D. Alvarez-estevez - One of the best experts on this subject based on the ideXlab platform.

  • A Continuous Evaluation of the awake sleep state using fuzzy reasoning
    2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
    Co-Authors: D. Alvarez-estevez, J. M. Fernandez-pastoriza, V. Moret-bonillo
    Abstract:

    Sleep staging is one of the most important tasks on the context of sleep studies. From more than 40 years the gold standard to the characterization of patient's sleep is the use of the rules proposed by Rechtschaffen and Kales (R&K). However this method has the limitation of the unnatural assignment of discrete stages instead of doing it in a Continuous manner. As part of a more general framework, this paper reports an automatic method for the characterization of the R&K's awake sleep stage through the use of fuzzy reasoning. A Continuous evolution of the wakefulness state of the patient during the night is provided as output.

Donghui Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors
    2007 IEEE 23rd International Conference on Data Engineering, 2007
    Co-Authors: James M. Kang, Mohamed F. Mokbel, Shashi Shekhar, Donghui Zhang
    Abstract:

    This paper presents a novel algorithm for Incremental and General Evaluation of Continuous Reverse Nearest neighbor queries (IGERN, for short). The IGERN algorithm is general as it is applicable for both the monochromatic and bichromatic reverse nearest neighbor queries. The incremental aspect of IGERN is achieved through determining only a small set of objects to be monitored. While previous algorithms for monochromatic queries rely mainly on monitoring six pie regions, IGERN takes a radical approach by monitoring only a single region around the query object. The IGERN algorithm clearly outperforms the state-of-the-art algorithms in monochromatic queries. In addition, the IGERN algorithm presents the first attempt for Continuous Evaluation of bichromatic reverse nearest neighbor queries. The computational complexity of IGERN is presented in comparison to the state-of-the-art algorithms in the monochromatic case and to the use of Voronoi diagrams for the bichromatic case. In addition, the correctness of IGERN in both the monochromatic and bichromatic cases are proved. Extensive experimental analysis shows that IGERN is efficient, is scalable, and outperforms previous techniques for Continuous reverse nearest neighbor queries.

  • ICDE - Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors
    2007 IEEE 23rd International Conference on Data Engineering, 2007
    Co-Authors: James M. Kang, Mohamed F. Mokbel, Shashi Shekhar, Donghui Zhang
    Abstract:

    This paper presents a novel algorithm for Incremental and General Evaluation of Continuous Reverse Nearest neighbor queries (IGERN, for short). The IGERN algorithm is general as it is applicable for both the monochromatic and bichromatic reverse nearest neighbor queries. The incremental aspect of IGERN is achieved through determining only a small set of objects to be monitored. While previous algorithms for monochromatic queries rely mainly on monitoring six pie regions, IGERN takes a radical approach by monitoring only a single region around the query object. The IGERN algorithm clearly outperforms the state-of-the-art algorithms in monochromatic queries. In addition, the IGERN algorithm presents the first attempt for Continuous Evaluation of bichromatic reverse nearest neighbor queries. The computational complexity of IGERN is presented in comparison to the state-of-the-art algorithms in the monochromatic case and to the use of Voronoi diagrams for the bichromatic case. In addition, the correctness of IGERN in both the monochromatic and bichromatic cases are proved. Extensive experimental analysis shows that IGERN is efficient, is scalable, and outperforms previous techniques for Continuous reverse nearest neighbor queries.

Pia Lundqvist - One of the best experts on this subject based on the ideXlab platform.