مشخصات کلی A knowledge model for the development of a framework for hypnogram construction

نویسنده کتاب (Author):

Fernández Leal, Ángel; Cabrero Canosa, Mariano; Mosquera Rey, Eduardo; Moret Bonillo, Vicente

انتشارات (Publisher):

Elsevier BV 2017-02-15

ویرایش و نوع فایل (Edition/Format):

 Downloadable article : English

منبع (Database):

WorldCat

عنوان ژورنال (Publication):

angel-fernandez-leal-mariano-cabrero-canosa-eduardo-mosqueira-rey-vicente-moret-bonillo-a-knowledge-model-for-the-development-of-a-framework-for-hypnogram-construction-knowledge-based

موضوع (Subject):

Artificial intelligence       Knowledge-based system       Hypnogram       View all subjects      

توضیحات خلاصه (Summary):

[Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and electrophysiological signals. Throughout the twentieth century, after the development of electroencephalography (EEG) by Hans Berger, there have been multiple studies on human sleep and its structure. Polysomnography (PSG), a sleep study from several biophysiological variables, gives us the hypnogram, a graphic representation of the stages of sleep as a function of time. This graph, when analyzed in conjunction with other physiological parameters, such as the heart rate or the amount of oxygen in arterial blood, has become a valuable diagnostic tool for different clinical problems that can occur during sleep and that often cause poor quality sleep. Currently, the gold standard for the detection of sleep events and for the correct classification of sleep stages are the rules published by the American Academy of Sleep Medicine (AASM), version 2.2. Based on the standards available to date, different studies on methods of automatic analysis of sleep and its stages have been developed but because of the different development and validation procedures used in existing methods, a rigorous and useful comparative analysis of results and their ability to correctly classify sleep stages is not possible. In this sense, we propose an approach that ensures that sleep stage classification task is not affected by the method for extracting PSG features and events. This approach is based on the development of a knowledge-intensive base system (KBS) for classifying sleep stages and building the corresponding hypnogram. For this development we used the CommonKADS methodology, that has become a de facto standard for the development of KBSs. As a result, we present a new knowledge model that can be used for the subsequent development of an intelligent system for hypnogram construction that allows us to isolate the process of sig  Read more…

ژانر / فرم:info:eu-repo/semantics/article

موضوع:Internet resource

نوع منبع:Internet Resource, Article

تمام نویسندگان / همکاران: Fernández Leal, Ángel; Cabrero Canosa, Mariano; Mosquera Rey, Eduardo; Moret Bonillo, Vicente

شناسه OCLC:979265268

Language Note:English

فهرست محتوا:0950-7051 1872-7409 http://hdl.handle.net/2183/18111 10.1016/j.knosys.2016.11.016

دانلود فایل ها