Search In this Thesis
   Search In this Thesis  
العنوان
Design and Implementation of Non-invasive Vital Patient Data Acquisition Technique Using IoT Technology/
المؤلف
Salem,Mahmoud Mohamed Salama
هيئة الاعداد
باحث / محمود محمد سلامه سالم
مشرف / هدى قرشي محمد اسماعيل
مناقش / . عبد العزيز محمود البسيونى
مناقش / محمود ابراهيم خليل
تاريخ النشر
2020.
عدد الصفحات
104p.:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2020
مكان الإجازة
جامعة عين شمس - كلية الهندسة - كهرباء حاسبات
الفهرس
Only 14 pages are availabe for public view

from 110

from 110

Abstract

The rapid development of technology has brought about a revolution in healthcare bringing about a wide range of smart and autonomous applications in clinics, surgeries and hospitals. Smart healthcare opens the opportunity for a qualitative advance in the relations between healthcare providers and end-users for the provision of health care, such as; enabling doctors to diagnose remotely while optimising the accuracy of the diagnosis, and maximising the benefits of treatment by enabling close patient monitoring.
This thesis reports the successful development of a non-invasive vital data acquisition algorithm designed to combine with an IoT algorithm for healthcare solutions. The device is able to collect, handle, process and analyse human vital signs via non-invasive methods. Such a device should enable the reduction of infection.
The IoT communication algorithm has a network of four nodes: one for heartrate measurement and another for body temperature, and another for vital data visualisation. The fourth node is a Broker node. This delivers a real-time exchange of vital signs/data without latency. In particular, an embedded software design offers a reliable solution to optimise communication time and provide a real time response for nodes issues. In addition, the design of the mesh (IoT) network was developed for heterogeneous physical layers which are able to communicate at dual-frequencies and varying distances. The software was designed to interface easily with nodes that could be added in the future to increase the scale of IoT mesh.