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New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT (eBook, ePUB) - Choudhury, Anirban Dutta; Banerjee, Rohan; Kimbahune, Sanjay; Pal, Arpan
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New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT provides insights into real-world problems in cardiovascular disease screening that can be addressed via AI, IoT and wearable based sensing. Non-Communicable Diseases (NCD) are surpassing CDS and emerging as the foremost cause of death. Hence, early screening of CVDs using wearable and other similar sensors is an extremely important global problem to solve. The digital health field is constantly changing, and this book provides a review of recent technology developments, offering unique coverage of processing…mehr

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Produktbeschreibung
New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT provides insights into real-world problems in cardiovascular disease screening that can be addressed via AI, IoT and wearable based sensing. Non-Communicable Diseases (NCD) are surpassing CDS and emerging as the foremost cause of death. Hence, early screening of CVDs using wearable and other similar sensors is an extremely important global problem to solve. The digital health field is constantly changing, and this book provides a review of recent technology developments, offering unique coverage of processing time series physiological sensor data.

The authors have developed this book with graduate and post graduate students in mind, making sure they provide an accessible entry point into the field. This book is particularly useful for engineers and computer scientists who want to build technologies that work in real world scenarios as it provides a practitioner's view/insights /tricks of the trade. Finally, this book helps researchers working on this important problem to quickly ramp up their knowledge and research to the state-of-the-art.

  • Maps digital health technology to real diseases that are relevant to the medical community
  • Supported with patient data and case studies
  • Gives practitioners insights into the real-world implementation of signal conditioning, signal processing and machine learning

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Autorenporträt
Anirban Dutta Choudhury received his B.E. in Electronics and Telecommunication Engineering in 2005 from Jadavpur University, India and M.Sc. in Embedded System Design in 2008 from University of Lugano, Switzerland. He has more than 15 years of experience, all in R&D departments in various geographies and scale of companies such as NXP Semiconductors Netherlands, PIXY AG Switzerland and Tata Consultancy Services India. His research interests encompass Noninvasive Physiological sensing in Digital Health and AI-driven Sensor Signal Informatics. Anirban has more than 40 publications till date in reputed Journals and Conferences. He has filed for more than 25 unique patents and has 10 patents granted to him.