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Titlebook: Internet of Things for Healthcare Technologies; Chinmay Chakraborty,Amit Banerjee,Basabi Chakrabor Book 2021 The Editor(s) (if applicable)

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Machine Learning Applications for a Real-Time Monitoring of Arrhythmia Patients Using IoT, to mobile health (m-health) systems. Smartphones with developed applications, wearable sensors and IoT devices are the major parts of the developed real-time arrhythmia monitoring system. In this work, an in-house round-the-clock cardiac monitoring is proposed with the use of machine learning techn
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Deep Learning and Its Applications in Medical Imaging,omise of unlocking novel insights and accelerating breakthroughs. According to an increasing interest in artificial intelligence around the world, deep learning has attracted a great deal of public attention. Deep learning techniques increase learning capacity and provide a decision support system a
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Brain Tumor Classification Using Deep Learning, techniques like ultrasound images, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) can be used for assessment of the tumor for prostate, lung, brain, breast, liver, etc. For this research, we have used brain MRI images for identification of tumor. The vast volume of data which is gene
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Design of an Embedded System for Remote Monitoring of Malnutrition for People Living in Rural Areaswho are living in remote areas or in rural areas are observed to suffer from malnutrition. Malnutrition is the case of the people living in rural areas and is a major concern for the overall health of the people. Malnutrition develops very slowly over the years. Changes at the cellular level begin t
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Applications of Internet of Things in Medical Area,ious fields and markets including healthcare and developing the manner by which commerce is led. The IoT has developed the manner in which interdisciplinary fields right now are associated with and will keep on streamlining the procedures engaged with forefront healthcare work. IoT in healthcare enc
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