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Sensors for Everyday Life
Title statement Sensors for Everyday Life [electronic resource] : Healthcare Settings / edited by Octavian Adrian Postolache, Subhas Chandra Mukhopadhyay, Krishanthi P. Jayasundera, Akshya K. Swain. Publication Cham : Springer International Publishing : Imprint: Springer, 2017. Phys.des. XVI, 287 p. 207 illus., 152 illus. in color. online resource. ISBN 9783319473192 Edition Smart Sensors, Measurement and Instrumentation, ISSN 2194-8402 ; 22 Contents FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact -- Sensing System for Bone Health Monitoring -- Cavitas Sensors (Soft Contact Lens Type Biosensor, Mouth-Guard Type Sensor, etc.) for Daily Medicine -- Development of Novel Image Sensor for Root Canal Observation -- Frame-by-Frame Speech Signal Processing and Recognition for FPGA Devices -- Elderly Infrared Body Temperature Telemonitoring System with XBee Wireless Protocol. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. Postolache, Octavian Adrian. Mukhopadhyay, Subhas Chandra. Jayasundera, Krishanthi P. Swain, Akshya K. Another responsib. SpringerLink (Online service) Subj. Headings Engineering. * Biomedical engineering. * Biochemical engineering. * Medical physics. * Radiation. * Electronics. * Microelectronics. Form, Genre elektronické knihy electronic books Country Německo Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL book
Sensors were developed to detect and quantify structures and functions of human body as well as to gather information from the environment in order to optimize the efficiency, cost-effectiveness and quality of healthcare services as well as to improve health and quality of life. This book offers an up-to-date overview of the concepts, modeling, technical and technological details and practical applications of different types of sensors. It also discusses the trends for the next generation of sensors and systems for healthcare settings. It is aimed at researchers and graduate students in the field of healthcare technologies, as well as academics and industry professionals involved in developing sensing systems for human body structures and functions, and for monitoring activities and health.
FPGA Based Smart System for Non Invasive Blood Glucose Sensing Using Photoplethysmography and Online Correction of Motion Artifact -- Sensing System for Bone Health Monitoring -- Cavitas Sensors (Soft Contact Lens Type Biosensor, Mouth-Guard Type Sensor, etc.) for Daily Medicine -- Development of Novel Image Sensor for Root Canal Observation -- Frame-by-Frame Speech Signal Processing and Recognition for FPGA Devices -- Elderly Infrared Body Temperature Telemonitoring System with XBee Wireless Protocol.
Number of the records: 1