An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Using clear language and real-world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing.This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance.

1. Medical big data mining and processing in e-health care A. Vidhyalakshmi and C. Priya2. Brain_computer interfaces and their applications Vaibhaw, Jay Sarraf and P.K. Pattnaik3. Transforming pharma logistics with the Internet of things Anjali Jain and Deepak Kumar Sharma4. Drug identification and interaction checking using the Internet of Things K. Eswari and C. Priya5. Accelerating data acquisition process in the pharmaceutical industry using Internet of Things T. Poongodi, T. Lucia Agnesbeena, S. Janarthanan and Balamurugan Balusamy6. Internet of Things applications in the pharmaceutical industryDeepak Kumar Sharma, Saakshi Bhargava and Kartik Singhal7. Internet of Things: from hype to realityArun Kumar Singh, Neda Firoz, Ashish Tripathi, K.K. Singh, Pushpa Choudhary and Prem Chand Vashist8. The Internet of Things: looking beyond the hype 231Devender Bhushan and Rashmi Agrawal9. Internet of Things: the new Rx for pharmaceutical manufacturing and supply chains 257Deepak Kumar Sharma, Prachi Gupta and Priety10. Smart cervical band: an Internet of Things- and artificial intelligence-based neck pain and cervical spondylosis healing system Vikram Puri, Chung Van Le, Sandeep Singh Jagdev and Long Cu Kim11. Medical data analysis in eHealth care for industry perspectives: applications 305Chandrakanta Mahanty and Brojo Kishore Mishra