چکیده مقاله
Body sensors or wearable sensors are now normally used as ingestible, wearable andimplantable devices for medical diagnosis and uninterrupted physiological monitoring However, they usually have limited resources Recent advancements in technologies provide apossible solution to overcome the resource limitation of these devices by connecting them withsmart mobiles and cloud services To estimate the feasibility of the cloud enabled body sensornetworks, this paper presents simulation results on testing the feasibility of 24 hour operatingtime and parallel user support for the cloud enabled applications A cloud is a new paradigmfor IoT based WSN1 that overcomes several limitations of traditional WSN and decouples theowners of the physical sensors from the network users This paper proposes a cloud basedInternet of Medical Devices IoMD , a novel architecture for the healthcare system to validatethe efficiency of sensor cloud virtualization technique IoT, cloud computing and fog are thethree key technologies that make up the framework outlined in this paper IoT and medicaldevices are integrated into our cloud based architecture, and deep learning algorithms are usedto process the collected data A deep learning neural network method called GenerativeAdversarial Network GAN model that runs in both fog and cloud platforms and is capable ofprocessing massive data in a fast and efficient manner The suggested GAN is trained on a real data set from the UCI Machine Learning Repository
کلیدواژهها
نویسندگان
Vahid Bayrami Rad
Islamic Azad University IAU Bilesavar branch
Abbas Koochari
Department of Computer Engineering, Science and Research Branch, Islamic Azad University,Tehran, Iran
شیوه ارجاع
Bayrami Rad, Vahid and Koochari, Abbas,1402,Title: Internet of things and cloud computing in medical devices,The first international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences.,Mashhad
ارائهشده در
مجموعه مقالات نخستین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات21 اسفند 1402 · مشهد