Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches
المؤلفون المشاركون
Shieh, Jiann-Shing
Sadrawi, Muammar
Ma, Matthew Huei-Ming
Dai, Chun-Yi
Abbod, Maysam F.
Sun, Wei-Zen
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-07-26
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Good quality cardiopulmonary resuscitation (CPR) is the mainstay of treatment for managing patients with out-of-hospital cardiac arrest (OHCA).
Assessment of the quality of the CPR delivered is now possible through the electrocardiography (ECG) signal that can be collected by an automated external defibrillator (AED).
This study evaluates a nonlinear approximation of the CPR given to the asystole patients.
The raw ECG signal is filtered using ensemble empirical mode decomposition (EEMD), and the CPR-related intrinsic mode functions (IMF) are chosen to be evaluated.
In addition, sample entropy (SE), complexity index (CI), and detrended fluctuation algorithm (DFA) are collated and statistical analysis is performed using ANOVA.
The primary outcome measure assessed is the patient survival rate after two hours.
CPR pattern of 951 asystole patients was analyzed for quality of CPR delivered.
There was no significant difference observed in the CPR-related IMFs peak-to-peak interval analysis for patients who are younger or older than 60 years of age, similarly to the amplitude difference evaluation for SE and DFA.
However, there is a difference noted for the CI ( p < 0.05 ).
The results show that patients group younger than 60 years have higher survival rate with high complexity of the CPR-IMFs amplitude differences.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sadrawi, Muammar& Sun, Wei-Zen& Ma, Matthew Huei-Ming& Dai, Chun-Yi& Abbod, Maysam F.& Shieh, Jiann-Shing. 2016. Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches. BioMed Research International،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1097884
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sadrawi, Muammar…[et al.]. Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches. BioMed Research International No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1097884
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sadrawi, Muammar& Sun, Wei-Zen& Ma, Matthew Huei-Ming& Dai, Chun-Yi& Abbod, Maysam F.& Shieh, Jiann-Shing. Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1097884
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1097884
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر