BePCon: A Photoplethysmography-based Quality-aware Continuous Beat-to-Beat Blood Pressure Measurement Technique Using Deep Learning

Research on noninvasive blood pressure (NIBP) measurement using electrocardiogram (ECG)/ photoplethysmogram (PPG) and their combinations have been most popular in ambulatory health monitoring. The real challenge is motion artifact (MA) corruption in the PPG, which makes the BP measurement unreliable...

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Vydáno v:	IEEE transactions on instrumentation and measurement Ročník 71; s. 1
Hlavní autoři:	Roy, Monalisa Singha, Gupta, Rajarshi, Sharma, Kaushik Das
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Blood Pressure Deep learning Electrocardiography Feature extraction Hypertension Measurement techniques Photoplethysmogram (PPG) Pressure measurement Quality assessment Random access memory Recursive Feature Elimination Self organizing maps Signal quality Stack denoising autoencoder Temporal Convolutional Neural Network Unsupervised Learning Waveforms
ISSN:	0018-9456, 1557-9662
On-line přístup:	Získat plný text
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