Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Hypertension affects a huge number of people around the world. It also has a great contribution to cardiovascular- and renal-related diseases. This study investigates the ability of a deep convolutional autoencoder (DCAE) to generate continuous arterial blood pressure (ABP) by only utilizing photopl...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 14; S. 3829
Hauptverfasser:	Sadrawi, Muammar, Lin, Yin-Tsong, Lin, Chien-Hung, Mathunjwa, Bhekumuzi, Fan, Shou-Zen, Abbod, Maysam F., Shieh, Jiann-Shing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 09.07.2020 MDPI
Schlagworte:	Algorithms Arterial Pressure Blood Pressure Blood Pressure Determination Cardiac arrhythmia continuous arterial blood pressure Datasets deep convolutional autoencoder Deep learning diastolic blood pressure Electrocardiography Gas turbine engines genetic algorithm Humans Hypertension Hypertension - diagnosis Neural networks Patients Photoplethysmography systolic blood pressure Vital signs United States > US genetic algorithm deep convolutional autoencoder diastolic blood pressure photoplethysmography continuous arterial blood pressure systolic blood pressure
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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