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

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Soham Sharma,M. Umme Salmaal, theoretical, and educational discourse, and explores these concepts from their unique perspective and through their multiple lenses. This collection seeks not to provide answers, but to invite readers into an ongoing dialogue about ideas that help us create meaning in the world.978-94-6209-986-9

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Joy Chatterjee,Manab Kumar Das,Sayon Ghosh,Atanu Das,Rajib Bagal, theoretical, and educational discourse, and explores these concepts from their unique perspective and through their multiple lenses. This collection seeks not to provide answers, but to invite readers into an ongoing dialogue about ideas that help us create meaning in the world.978-94-6209-986-9

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Mamata Rathal, theoretical, and educational discourse, and explores these concepts from their unique perspective and through their multiple lenses. This collection seeks not to provide answers, but to invite readers into an ongoing dialogue about ideas that help us create meaning in the world.978-94-6209-986-9

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Dhanaraj Rajesh Kumar,K. Rajkumar,K. Lalitha,V. Dhanakotial, theoretical, and educational discourse, and explores these concepts from their unique perspective and through their multiple lenses. This collection seeks not to provide answers, but to invite readers into an ongoing dialogue about ideas that help us create meaning in the world.978-94-6209-986-9

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A Methodology for Improving Efficiency in Data Transmission in Healthcare Systems,hift Keying) modulation were developed and analyzed in relation to information consumption medical data in MB (megabytes). The proposal directs a different approach with respect to signal transmission, employing in the discrete domain the effect of discrete entities’ technique in the bit generation

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Deep Learning and Its Applications in Medical Imaging,lems can be solved using deep learning in medical imaging. This chapter also introduces a particular type of deep learning algorithm, including autoencoders, restricted Boltzmann machines, deep belief network, recurrent neural networks, and convolutional neural networks with practical variant case s