Manjeet Kumar – författare

Air Quality Monitoring and Management Using Sensors, Volume Nine offers a comprehensive overview of the latest advancements in air pollution monitoring technologies. With contributions from leading experts, the book discusses sensor innovations, data analysis, and practical applications. It addresses the needs and challenges of air pollution monitoring and management, highlighting recent progress in calibration and validation of sensors, and the use of portable and wearable devices for personal exposure monitoring and indoor air quality assessment.Sections explore remote sensing techniques, smart sensor networks integration, IoT applications, and advanced data analysis tools for tackling air pollution. It covers sensor applications for detecting pollutants such as nitrogen oxide, carbon monoxide, and particulate matter. Additionally, it examines emission control technologies and the development of detection systems for various pollutants, including sulfur oxide and nitrogen oxide. Future trends and successful case studies showcase the implementation of these sensors in environmental monitoring and remediation efforts.Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code.Provides a thorough exploration of air pollution sensor innovations, monitoring technologies, and real-world applicationsExamines the latest advancements in sensor technologies and data analysis methodsOffers readers insight into cutting-edge tools and techniques for accurate and efficient air quality assessmentPresents a multidisciplinary understanding of air pollution dynamics, including environmental science, atmospheric science, chemistry, and engineering

This book details the characteristics of an ECG signal through the functionality and electrical activity of the human heart. This book, through detailed explanations, provides the reader with necessary information on ECG signal, ECG signal acquisition process, noise removal techniques, and the detection of ECG peaks.