Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm

Monitoring a patient’s vital signs is considered one of the most challenging problems in telehealth systems, especially when patients reside in remote locations. Companies now use IoT devices such as wearable devices to participate in telehealth systems. However, the steady adoption of wearables can...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 24; s. 9679
Hlavní autoři:	An, Angela, Al-Fawa’reh, Mohammad, Kang, James Jin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.12.2022 MDPI
Témata:	Accuracy Algorithms Batteries Blood pressure Cardiovascular disease Classification damped least-squares algorithm (DLSA) data accuracy data efficiency Data entry Data processing Data transmission Datasets Decision trees Efficiency Health care reform healthcare Heart beat Heart Rate Humans inference algorithm Least-Squares Analysis Machine Learning Medical advice systems Medical equipment Medical research Methods Neural networks Patients Personal health Regression analysis Sensors Support vector machines Telemedicine Wearable Electronic Devices Australia data efficiency damped least-squares algorithm (DLSA) inference algorithm neural networks machine learning training algorithm data accuracy healthcare
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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