G.S. Karthick – författare

This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real‑time and streaming analytics applications in clinical and non‑clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real‑world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains.Key Features: Covers fundamental concepts of sensor data acquisition, preprocessing, and real‑time analysis for healthcare systems. Examines the role of wearables in continuous monitoring and their analytics use in clinical workflows. Addresses the challenges and techniques for handling streaming data in dynamic healthcare environments. Explores machine learning and data mining algorithms tailored to healthcare sensor data. Provides examples across hospital operations, patient monitoring, diagnostics, and healthcare management.This book is for researchers and practitioners in data science, healthcare informatics, biomedical engineering, and healthcare management.

This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real time and streaming analytics applications in clinical and non clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains.Key Features: Covers fundamental concepts of sensor data acquisition, preprocessing, and real time analysis for healthcare systems. Examines the role of wearables in continuous monitoring and their analytics use in clinical workflows. Addresses the challenges and techniques for handling streaming data in dynamic healthcare environments. Explores machine learning and data mining algorithms tailored to healthcare sensor data. Provides examples across hospital operations, patient monitoring, diagnostics, and healthcare management. This book is for researchers and practitioners in data science, healthcare informatics, biomedical engineering, and healthcare management.

This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real time and streaming analytics applications in clinical and non clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains.Key Features: Covers fundamental concepts of sensor data acquisition, preprocessing, and real time analysis for healthcare systems. Examines the role of wearables in continuous monitoring and their analytics use in clinical workflows. Addresses the challenges and techniques for handling streaming data in dynamic healthcare environments. Explores machine learning and data mining algorithms tailored to healthcare sensor data. Provides examples across hospital operations, patient monitoring, diagnostics, and healthcare management. This book is for researchers and practitioners in data science, healthcare informatics, biomedical engineering, and healthcare management.

The internet of things (IoT) has had a major impact on academic and industrial fields. Applying these technologies to healthcare systems reduces medical costs while enriching the patient-centric approach to medicine, allowing for better overall healthcare proficiency. However, usage of IoT in healthcare is still suffering from significant challenges with respect to the cost and accuracy of medical sensors, non-standard IoT system architectures, assorted wearable devices, the huge volume of generated data, and interoperability issues.Incorporating the Internet of Things in Healthcare Applications and Wearable Devices is an essential publication that examines existing challenges and provides solutions for building smart healthcare systems with the latest IoT-enabled technology and addresses how IoT improves the proficiency of healthcare with respect to wireless sensor networks. While highlighting topics including mobility management, sensor integration, and data analytics, this book is ideally designed for computer scientists, bioinformatics analysts, doctors, nurses, hospital executives, medical students, IT specialists, software developers, computer engineers, industry professionals, academicians, researchers, and students seeking current research on how these emerging wireless technologies improve efficiency within the healthcare domain.