Estimation of Arterial Blood Pressure Based on Artificial Intelligence Using Single Earlobe Photoplethysmography during Cardiopulmonary Resuscitation.
J Med Syst
; 44(1): 18, 2019 Dec 10.
Article
em En
| MEDLINE
| ID: mdl-31823091
ABSTRACT
This study investigates the feasibility of estimation of blood pressure (BP) using a single earlobe photoplethysmography (Ear PPG) during cardiopulmonary resuscitation (CPR). We have designed a system that carries out Ear PPG for estimation of BP. In particular, the BP signals are estimated according to a long short-term memory (LSTM) model using an Ear PPG. To investigate the proposed method, two statistical analyses were conducted for comparison between BP measured by the micromanometer-based gold standard method (BPMEAS) and the Ear PPG-based proposed method (BPEST) for swine cardiac model. First, Pearson's correlation analysis showed high positive correlations (r = 0.92, p < 0.01) between BPMEAS and BPEST. Second, the paired-samples t-test on the BP parameters (systolic and diastolic blood pressure) of the two methods indicated no significant differences (p > 0.05). Therefore, the proposed method has the potential for estimation of BP for CPR biofeedback based on LSTM using a single Ear PPG.
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Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Determinação da Pressão Arterial
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Inteligência Artificial
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Reanimação Cardiopulmonar
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Fotopletismografia
Limite:
Humans
Idioma:
En
Revista:
J Med Syst
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Coréia do Sul