Name: Sensors for Vital Signs Monitoring (en Inglés)
Price: 147304.00 COP
Availability: InStock
Author: Yang, Jong-Ryul ; Hyun, Eugin ; Kwon Kim, Sun
ISBN: 9783036517667

portada Sensors for Vital Signs Monitoring (en Inglés)

Sensors for Vital Signs Monitoring (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Yang, Jong-Ryul ; Hyun, Eugin ; Kwon Kim, Sun

Idioma

Inglés

N° páginas

142

Encuadernación

Tapa Dura

Dimensiones

24.4 x 17.0 x 1.3 cm

Peso

0.51 kg.

ISBN13

9783036517667

Categorías

Tecnología: cuestiones generales

Sensors for Vital Signs Monitoring (en Inglés)

Yang, Jong-Ryul ; Hyun, Eugin ; Kwon Kim, Sun (Autor) · Mdpi AG · Tapa Dura

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Reseña del libro "Sensors for Vital Signs Monitoring (en Inglés)"

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. Sensingtechnologies 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.