Sensors for Vital Signs Monitoring

• Autore: Yang Jong-Ryul
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (141 p.)
• Soggetto topico: Energy industries & utilities; Technology: general issues
• Soggetto non controllato: 3D+t modeling; 4D CT; absolute distance measurement; cage deformation; cardiopulmonary resuscitation (CPR); carotid blood flow (CBF); cerebral circulation; compensatory reserve; cone-beam computed tomography; continuous-wave radar; coronary artery; cross-correlation; CW radar; decomposition level; denoising; doppler cardiogram; electroencephalogram (EEG); envelope detection; frequency discrimination; frequency-shift keying radar; heartbeat accuracy improvement; heartbeat detection; hemodynamic data; low-contrast object; medical monitoring; modulation transfer function; mother wavelet function; noise power spectrum; non-rigid registration; optimal filter; passenger detection; physiology; radar feature vector; radar machine learning; radar signal processing; signal decomposition; signal-to-noise-ratio; ultra-high resolution; vital signs; vital-signs monitoring; wavelet transform; wearable sensors
• Persona (resp. second.): HyunEugin; KimSun Kwon; YangJong-Ryul
• Sommario/riassunto: 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.
• Titolo autorizzato: Sensors for Vital Signs Monitoring
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557554603321
• Lo trovi qui: Univ. Federico II