Validation of deep learning models for cuffless blood pressure estimation on a large benchmarking dataset
Yu Huang,
Yonghu He,
Zhengbi Song
et al.
Abstract:Objective: This study aims to evaluate the effectiveness of deep learning techniques in estimating cuffless blood pressure (BP) across a diverse patient population in intensive care units (ICUs).
Methods: A comprehensive ICU benchmarking dataset encompassing 2,154 patients with a wide demographic range (18-97 years old) and varied cardiovascular status was employed to validate several deep learning models in predicting continuous BP waveforms. Three methods were developed to enhance the model's gen… Show more
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