Contactless face video based vital signs detection framework for continuous health monitoring using feature optimization and hybrid neural network

Continuous monitoring of vital signs such as respiration and heart rate is essential to detect and predict conditions that may affect the patient's well‐being. To detect these vital signs most medical systems use contact sensors. They are not feasible for long term monitoring and are not repeat...

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Vydané v:	Biotechnology and bioengineering Ročník 121; číslo 4; s. 1191 - 1215
Hlavní autori:	Anil Jalaja, Anju, Kavitha, Maruthai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 01.04.2024
Predmet:	Algorithms Blood pressure Classification Comparative analysis Data acquisition Datasets Face Heart Rate human health monitoring Humans Machine learning Monitoring Monitoring, Physiologic - methods Neural networks Neural Networks, Computer Optimization Optimization algorithms Oxygen content oxygen saturation Respiration respiration rate Respiratory Rate Signs Telemedicine vital sign Vital signs Vital Signs - physiology human health monitoring blood pressure heart rate oxygen saturation respiration rate vital sign
ISSN:	0006-3592, 1097-0290, 1097-0290
On-line prístup:	Získať plný text
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