Emerging trends in IoT and big data analytics for biomedical and health care technologies
Abstract The recent revolutions in Internet of Things (IoT) and big data analytics have unlocked promising possibilities in biomedical and health care technologies. The current chapter deals with theoretical, methodological, validated, and empirical concepts with exciting examples related to the subject. First, the application of IoT and big data in the analysis of a vast image database generated every day from various sources by big data combined with machine learning algorithms and other forms of artificial intelligence, to generate structured information for application in remote diagnostics, is explained with examples. Further emerging trends of telemedicine using artificial intelligence technique in robotics health care have been discussed. The flexibility and adaptability of AI based telemedicine provide the endless supports for health care development can be observed in the literature. The advancement of telerobotic surgery and the importance of the Internet of Robotic Things (IoRT) have been discussed briefly. Furthermore, details on wearable devices already available targeting the biomedical and health care applications that are capable of collecting, analyzing by standard protocols by machine intelligence for predictions of health related issues are described. Lastly, the final expansion and evolution of these technologies in the modern health care system and biomedical research, starting with personalized drug designing to targeted drug delivery and beyond it, is described.