Sensors for Vital Signs Monitoring
Yang, Jong-Ryul
Sensors for Vital Signs Monitoring - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (141 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-1765-0 9783036517667 9783036517650
10.3390/books978-3-0365-1765-0 doi
Technology: general issues
Energy industries & utilities
cardiopulmonary resuscitation (CPR) electroencephalogram (EEG) hemodynamic data carotid blood flow (CBF) cerebral circulation frequency-shift keying radar cross-correlation envelope detection continuous-wave radar frequency discrimination vital-signs monitoring heartbeat accuracy improvement heartbeat detection absolute distance measurement radar signal processing 3D+t modeling coronary artery non-rigid registration cage deformation 4D CT passenger detection CW radar radar feature vector radar machine learning wearable sensors physiology medical monitoring vital signs compensatory reserve ultra-high resolution cone-beam computed tomography low-contrast object optimal filter modulation transfer function noise power spectrum doppler cardiogram wavelet transform denoising mother wavelet function decomposition level signal decomposition signal-to-noise-ratio
Sensors for Vital Signs Monitoring - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (141 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-1765-0 9783036517667 9783036517650
10.3390/books978-3-0365-1765-0 doi
Technology: general issues
Energy industries & utilities
cardiopulmonary resuscitation (CPR) electroencephalogram (EEG) hemodynamic data carotid blood flow (CBF) cerebral circulation frequency-shift keying radar cross-correlation envelope detection continuous-wave radar frequency discrimination vital-signs monitoring heartbeat accuracy improvement heartbeat detection absolute distance measurement radar signal processing 3D+t modeling coronary artery non-rigid registration cage deformation 4D CT passenger detection CW radar radar feature vector radar machine learning wearable sensors physiology medical monitoring vital signs compensatory reserve ultra-high resolution cone-beam computed tomography low-contrast object optimal filter modulation transfer function noise power spectrum doppler cardiogram wavelet transform denoising mother wavelet function decomposition level signal decomposition signal-to-noise-ratio