04360nam 2200913z- 450 991055755460332120220111(CKB)5400000000044060(oapen)https://directory.doabooks.org/handle/20.500.12854/76670(oapen)doab76670(EXLCZ)99540000000004406020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSensors for Vital Signs MonitoringBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (141 p.)3-0365-1766-9 3-0365-1765-0 Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.Energy industries & utilitiesbicsscTechnology: general issuesbicssc3D+t modeling4D CTabsolute distance measurementcage deformationcardiopulmonary resuscitation (CPR)carotid blood flow (CBF)cerebral circulationcompensatory reservecone-beam computed tomographycontinuous-wave radarcoronary arterycross-correlationCW radardecomposition leveldenoisingdoppler cardiogramelectroencephalogram (EEG)envelope detectionfrequency discriminationfrequency-shift keying radarheartbeat accuracy improvementheartbeat detectionhemodynamic datalow-contrast objectmedical monitoringmodulation transfer functionmother wavelet functionnoise power spectrumnon-rigid registrationoptimal filterpassenger detectionphysiologyradar feature vectorradar machine learningradar signal processingsignal decompositionsignal-to-noise-ratioultra-high resolutionvital signsvital-signs monitoringwavelet transformwearable sensorsEnergy industries & utilitiesTechnology: general issuesYang Jong-Ryuledt1295515Hyun EuginedtKim Sun KwonedtYang Jong-RyulothHyun EuginothKim Sun KwonothBOOK9910557554603321Sensors for Vital Signs Monitoring3025902UNINA