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Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation
المؤلفون المشاركون
Tsai, Cheng-Lun
Fu, Tieh-Cheng
Huang, Sheng-Cheng
Jan, Hao-Yu
Lin, Wen-Chen
Lin, Geng-Hong
Lin, Wen-Chi
Lin, Kang-Ping
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-05-28
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Inspiratory flow limitation (IFL) is a critical symptom of sleep breathing disorders.
A characteristic flattened flow-time curve indicates the presence of highest resistance flow limitation.
This study involved investigating a real-time algorithm for detecting IFL during sleep.
Three categories of inspiratory flow shape were collected from previous studies for use as a development set.
Of these, 16 cases were labeled as non-IFL and 78 as IFL which were further categorized into minor level (20 cases) and severe level (58 cases) of obstruction.
In this study, algorithms using polynomial functions were proposed for extracting the features of IFL.
Methods using first- to third-order polynomial approximations were applied to calculate the fitting curve to obtain the mean absolute error.
The proposed algorithm is described by the weighted third-order (w.3rd-order) polynomial function.
For validation, a total of 1,093 inspiratory breaths were acquired as a test set.
The accuracy levels of the classifications produced by the presented feature detection methods were analyzed, and the performance levels were compared using a misclassification cobweb.
According to the results, the algorithm using the w.3rd-order polynomial approximation achieved an accuracy of 94.14% for IFL classification.
We concluded that this algorithm achieved effective automatic IFL detection during sleep.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Sheng-Cheng& Jan, Hao-Yu& Fu, Tieh-Cheng& Lin, Wen-Chen& Lin, Geng-Hong& Lin, Wen-Chi…[et al.]. 2017. Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1142031
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Sheng-Cheng…[et al.]. Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1142031
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Sheng-Cheng& Jan, Hao-Yu& Fu, Tieh-Cheng& Lin, Wen-Chen& Lin, Geng-Hong& Lin, Wen-Chi…[et al.]. Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1142031
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142031
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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