Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction with Pulse Arrival Time in Large Open Databases

Although various predictors and methods for BP estimation have been proposed, differences in study designs have led to difficulties in determining the optimal method. This study presents analyses of BP estimation methods using 2.4 million cardiac cycles of two commonly used non-invasive biosignals,...

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Bibliographic Details
Main Authors:	Kim, H.C (Author), Lee, J. (Author), Lee, S. (Author), Sohn, J. (Author), Yang, S. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	adult Arterial blood pressure arterial pressure Arterial Pressure article Artificial heart Backpropagation biosignal database Biosignal database blood pressure Blood pressure Blood Pressure Blood Pressure Determination blood pressure measurement blood pressure monitoring Continuous blood pressure monitoring Database systems Decision trees diastolic blood pressure electrocardiogram Electrocardiography Estimation methods feature selection Feature selection methods female heart cycle heart rate Heart Rate High frequency components human Humans intensive care unit Intensive care units linear regression analysis Low-frequency components major clinical study male Mercury compounds Morphology photoelectric plethysmography Photo-plethysmogram photoplethysmogram morphology Photoplethysmography pulse arrival time pulse wave Pulse Wave Analysis random forest recurrent neural network Recurrent neural network (RNN) Recurrent neural networks surgical patient systolic blood pressure
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Estimation and Validation of Arterial Blood Pressure Using Photoplethysmogram Morphology Features in Conjunction with Pulse Arrival Time in Large Open Databases

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