Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques

Cardiovascular diseases(CVD) is one of the major causes of deaths in the world, which may damage the endothelium cells which may lead to atherosclerosis and cardiac arrhythmias. Blood pressure is an important parameter and indicator in cardiovascular disease, patients with CVD who have multiple risk...

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Vydáno v:	International Conference on Communication Systems and Networks (Online) s. 7 - 12
Hlavní autoři:	Nidigattu, Govinda Rao, Mattela, Govardhan, Jana, Sayan
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.01.2020
Témata:	and regression algorithms Band-pass filters Biomedical monitoring Blood pressure Cardiovascular diseases diastolic blood pressure Estimation feature engineering Feature extraction Heart rate machine learning photoplethysmography signal filtering Signal processing algorithms systolic blood pressure
ISSN:	2155-2509
On-line přístup:	Získat plný text
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