National Standards of Blood Pressure for Children and Adolescents in Spain: International Comparisons

1992 ◽  
Vol 21 (3) ◽  
pp. 478-487 ◽  
Author(s):  
RAFAEL GABRIEL SÁNCHEZ ◽  
DARWIN R LABARTHE ◽  
RONALD N FORTHOFER ◽  
ARTURO FERNANDEZ-CRUZ
Keyword(s):  
Blood Pressure ◽  
Children And Adolescents ◽  
International Comparisons ◽  
National Standards

Blood pressure references for children and adolescents in Germany and international comparisons

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
H Neuhauser ◽  
M Thamm ◽  
U Ellert ◽  
A Schaffrath Rosario
Keyword(s):  
Blood Pressure ◽  
Children And Adolescents ◽  
International Comparisons

Use of Single Blood Pressure Cutoffs to Determine High Cimt in Children and Adolescents: An International Collaboration Study

2018 ◽  
Author(s):  
Min Zhao ◽  
Peter H. Whincup ◽  
Abel López-Bermejo ◽  
Carmelo A. Caserta ◽  
Carla Campos Muniz Medeiros ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Children And Adolescents ◽  
International Collaboration

scholarly journals A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction

2021 ◽  
Author(s):  
Annunziata Paviglianiti ◽  
Vincenzo Randazzo ◽  
Stefano Villata ◽  
Giansalvo Cirrincione ◽  
Eros Pasero
Keyword(s):  
Blood Pressure ◽  
Neural Networks ◽  
Deep Learning ◽  
Arterial Blood Pressure ◽  
Blood Pressure Measurement ◽  
National Standards ◽  
Detection Methods ◽  
Physiological Parameter ◽  
Arterial Blood ◽  
Learning Techniques

AbstractContinuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world’s population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-invasive detection methods are a basic requirement for wearable medical devices, especially when these are used in sports applications or by the elderly for self-monitoring. Arterial blood pressure (ABP) is an essential physiological parameter for health monitoring. Most blood pressure measurement devices determine the systolic and diastolic arterial blood pressure through the inflation and the deflation of a cuff. This technique is uncomfortable for the user and may result in anxiety, and consequently affect the blood pressure and its measurement. The purpose of this paper is the continuous measurement of the ABP through a cuffless, non-intrusive approach. The approach of this paper is based on deep learning techniques where several neural networks are used to infer ABP, starting from photoplethysmogram (PPG) and electrocardiogram (ECG) signals. The ABP was predicted first by utilizing only PPG and then by using both PPG and ECG. Convolutional neural networks (ResNet and WaveNet) and recurrent neural networks (LSTM) were compared and analyzed for the regression task. Results show that the use of the ECG has resulted in improved performance for every proposed configuration. The best performing configuration was obtained with a ResNet followed by three LSTM layers: this led to a mean absolute error (MAE) of 4.118 mmHg on and 2.228 mmHg on systolic and diastolic blood pressures, respectively. The results comply with the American National Standards of the Association for the Advancement of Medical Instrumentation. ECG, PPG, and ABP measurements were extracted from the MIMIC database, which contains clinical signal data reflecting real measurements. The results were validated on a custom dataset created at Neuronica Lab, Politecnico di Torino.

scholarly journals Blood pressure and resting heart rate in 3-17-year-olds in Germany in 2003–2006 and 2014–2017

2021 ◽  
Author(s):  
Giselle Sarganas ◽  
Anja Schienkiewitz ◽  
Jonas D. Finger ◽  
Hannelore K. Neuhauser
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Children And Adolescents ◽  
Selection Rule ◽  
Age Groups ◽  
Resting Heart Rate ◽  
Cross Sectional ◽  
National Examination ◽  
School Aged Children ◽  
Analysis Measurement

AbstractTo track blood pressure (BP) and resting heart rate (RHR) in children and adolescents is important due to its associations with cardiovascular outcomes in the adulthood. Therefore, the aim of this study was to examine BP and RHR over a decade among children and adolescents living in Germany using national examination data. Cross-sectional data from 3- to 17-year-old national survey participants (KiGGS 2003–06, n = 14,701; KiGGS 2014–17, n = 3509) including standardized oscillometric BP and RHR were used for age- and sex-standardized analysis. Measurement protocols were identical with the exception of the cuff selection rule, which was accounted for in the analyses. Different BP and RHR trends were observed according to age-groups. In 3- to 6-year-olds adjusted mean SBP and DBP were significantly higher in 2014–2017 compared to 2003–2006 (+2.4 and +1.9 mm Hg, respectively), while RHR was statistically significantly lower by −3.8 bpm. No significant changes in BP or in RHR were observed in 7- to 10-year-olds over time. In 11- to 13-year-olds as well as in 14- to 17-year-olds lower BP has been observed (SBP −2.4 and −3.2 mm Hg, respectively, and DBP −1.8 and −1.7 mm Hg), while RHR was significantly higher (+2.7 and +3.7 bpm). BP trends did not parallel RHR trends. The downward BP trend in adolescents seemed to follow decreasing adult BP trends in middle and high-income countries. The increase in BP in younger children needs confirmation from other studies as well as further investigation. In school-aged children and adolescents, the increased RHR trend may indicate decreased physical fitness.

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