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Internal communication among the sensors and measured parameters from the human body are processed using deep learning algorithms. AI-based data processing models analyze massive amounts of data from the sensors and extract useful information from them. Figure 1.7 shows the role of AI in WBAN. The extracted features are used to diagnosis the disease, wherein the proposed model is trained with related data. CNNs are used for feature extraction; based on the inputs, CNN generates the possible, reliable outputs.

Figure 1.7 AI-enabled WBAN architecture.