Visual Metaphors to Support the Diagnosis of Sleep Apnea-Hypopnea Syndrome
This paper presents algorithms that assist physicians in the task of visually inspecting polysomnographic recordings to diagnose Sleep Apnea-Hypopnea Syndrome. To this end, the algorithms generate visual metaphors that simplify the identification and characterization of several pathological events that occur in polysomnographic recordings: reductions and complete cessations of respiratory effort -measured both from thoracic movement and from abdominal movement-and snoring measured through a microphone which records ambient noise. These algorithms and the visual metaphors they give support to have been implemented in a desktop tool. The tool has been validated by a physician using five different polysomnographic recordings, with satisfactory results.
Sleep Apnea-Hypopnea Syndrome Biosignal Processing Structural Pattern Recognition Fuzzy Sets
A.Otero P.Felix M.R.Alvarez
Department of Information and Communications Systems Engineering.University San Pablo CEU.28668 Madr Department of Electronics and Computer Science.University of Santiago de Compostela.15782 Santiago,S
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）