عنوان انگلیسی مقاله:
A Novel AI-enabled Framework to Diagnose Coronavirus COVID-19 using Smartphone Embedded Sensors: Design Study
ترجمه فارسی عنوان مقاله:
یک چارچوب جدید مبتنی بر هوش مصنوعی برای تشخیص Coronavirus COVID-19 با استفاده از حسگرهای داخلی تلفن های هوشمند: مطالعه طراحی
IEEE - 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI);2020; ; ;10.1109/IRI49571.2020.00033
1stHalgurd S. Maghded , 2nd Kayhan Zrar Ghafoor , 3rd Ali Safaa Sadiq , 4th Kevin Curran , 5th Danda B. Rawat , 6thKhaled Rabie
Coronaviruses are a famous family of viruses that
cause illness in both humans and animals. The new type of
coronavirus COVID-19 was firstly discovered in Wuhan, China.
However, recently, the virus has widely spread in most of
the world and causing a pandemic according to the World
Health Organization (WHO). Further, nowadays, all the world
countries are striving to control the COVID-19. There are many
mechanisms to detect coronavirus including clinical analysis of
chest CT scan images and blood test results. The confirmed
COVID-19 patient manifests as fever, tiredness, and dry cough.
Particularly, several techniques can be used to detect the initial
results of the virus such as medical detection Kits. However,
such devices are incurring huge cost, taking time to install
them and use. Therefore, in this paper, a new framework is
proposed to detect COVID-19 using built-in smartphone sensors.
The proposal provides a low-cost solution, since most of
radiologists have already held smartphones for different dailypurposes.
Not only that but also ordinary people can use the
framework on their smartphones for the virus detection purposes.
Today’s smartphones are powerful with existing computationrich
processors, memory space, and large number of sensors
including cameras, microphone, temperature sensor, inertial
sensors, proximity, colour-sensor, humidity-sensor, and wireless
chipsets/sensors. The designed Artificial Intelligence (AI) enabled
framework reads the smartphone sensors’ signal measurements
to predict the grade of severity of the pneumonia as well as
predicting the result of the disease.
Index Terms: COVID-19 | smartphone | coronavirus Detection | smartphone sensors