Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Muammar Sadrawi; Yin-Tsong Lin; Chien-Hung Lin; Bhekumuzi Mathunjwa; Shou-Zen Fan; Maysam F Abbod; Jiann-Shing Shieh

doi:10.3390/s20143829

Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Sensors (Basel). 2020 Jul 9;20(14):3829. doi: 10.3390/s20143829.

Authors

Muammar Sadrawi¹, Yin-Tsong Lin², Chien-Hung Lin², Bhekumuzi Mathunjwa¹, Shou-Zen Fan³, Maysam F Abbod⁴, Jiann-Shing Shieh¹

Affiliations

¹ Department of Mechanical Engineering, Yuan Ze University, Taoyuan 32003, Taiwan.
² AI R&D Department, New Era AI Robotic Inc., Taipei 105, Taiwan.
³ Department of Anesthesiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
⁴ Department of Electronic and Computer Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

Abstract

Hypertension affects a huge number of people around the world. It also has a great contribution to cardiovascular- and renal-related diseases. This study investigates the ability of a deep convolutional autoencoder (DCAE) to generate continuous arterial blood pressure (ABP) by only utilizing photoplethysmography (PPG). A total of 18 patients are utilized. LeNet-5- and U-Net-based DCAEs, respectively abbreviated LDCAE and UDCAE, are compared to the MP60 IntelliVue Patient Monitor, as the gold standard. Moreover, in order to investigate the data generalization, the cross-validation (CV) method is conducted. The results show that the UDCAE provides superior results in producing the systolic blood pressure (SBP) estimation. Meanwhile, the LDCAE gives a slightly better result for the diastolic blood pressure (DBP) prediction. Finally, the genetic algorithm-based optimization deep convolutional autoencoder (GDCAE) is further administered to optimize the ensemble of the CV models. The results reveal that the GDCAE is superior to either the LDCAE or UDCAE. In conclusion, this study exhibits that systolic blood pressure (SBP) and diastolic blood pressure (DBP) can also be accurately achieved by only utilizing a single PPG signal.

Keywords: continuous arterial blood pressure; deep convolutional autoencoder; diastolic blood pressure; genetic algorithm; photoplethysmography; systolic blood pressure.

MeSH terms

Arterial Pressure*
Blood Pressure
Blood Pressure Determination*
Humans
Hypertension* / diagnosis
Photoplethysmography*