TY  - BOOK
AU  - Ahmed Abdellatif Mohammed Elsaber,
AU  - Mohamed R.El-Ghonemi
TI  - Low-cost ventilator pressure modes realization and artificial intelligence assisted design
U1  - 610.28 
PY  - 2024///
KW  - Medical devices
KW  - qrmak
KW  - Coronavirus disease
KW  - Low-cost ventilator
KW  - Pressure control modes
KW  - Artificial intelligence
N1  - Thesis (M.Sc)-Cairo University, 2024; Bibliography: pages 54-58; Issues also as CD
N2  - The Corona virus revealed the severe shortage of the medical ventilators around the world. This was the reason behind the trial to find a low-cost solution that uses       commercially available components. This thesis presented the design and development of pressure control modes in a low-cost medical ventilator using artificial intelligence assisted design, where the proposed neural network provides better results than others. The results of the medical ventilator were verified using the readings of the biomedical monitoring (FLUKE) device to ensure that the device is functioning properly; قدمت هذه الرسالة تصميم وتطوير أوضاع التحكم في الضغط في جهاز تنفس طبي منخفض التكلفة باستخدام تصميم مدعوم بالذكاء الاصطناعي، حيث توفر الشبكة العصبية المقترحة نتائج أفضل من غيرها. تم التحقق من نتائج جهاز التنفس الصناعي الطبي باستخدام قراءات جهاز المراقبة الطبية الحيوية (فلوك) للتأكد من أن الجهاز يعمل بشكل صحيح
ER  -