The aim of this study is to estimate blood pressure in pediatric patients using a non-invasive electrocardiogram (ECG), photoplethysmograph (PPG), and an accelerometer on the chest.
Blood pressure is measured by an automated oscillometric device or arterial waveform from IntelliVue MX800 Bedside patient monitor (Philips Healthcare, Amsterdam, Netherlands). Following parameters will be measured by non-invasive electrocardiogram (ECG), photoplethysmograph (PPG), and an accelerometer on the chest and will be used to estimate the biosignal derived blood pressure. 1. PAT(time between R peak of ECG and beginning of the pulse of PPG) 2. PEP(time between R peak of ECG and peak of accelerometer signal) 3. PTT(PAT-PEP) The algorithm of the biosignal derived blood pressure will be made using the MATLAB 2016b(Mathworks, Natick, MA) program. The agreement between the non-invasive blood pressure and the biosignal derived blood pressure will be analyzed using Cohen's Kappa or Bland-Altman plot.
Study Type
OBSERVATIONAL
Enrollment
100
Following parameters will be measured by non-invasive electrocardiogram (ECG), photoplethysmograph (PPG), and an accelerometer on the chest and will be used to estimate the biosignal derived blood pressure. 1. PAT(time between R peak of ECG and beginning of the pulse of PPG) 2. PEP(time between R peak of ECG and peak of accelerometer signal) 3. PTT(PAT-PEP)
Seoul National University Hospital
Seoul, South Korea
Systolic and diastolic Blood pressure
Systolic and diastolic blood pressure by automated oscillometric device or arterial waveform from IntelliVue MX800 Bedside patient monitor (Philips Healthcare, Amsterdam, Netherlands).
Time frame: During general anesthesia, up to 12 hours
Electrocardiogram wave
Electrocardiogram wave
Time frame: During general anesthesia, up to 12 hours
photoplethysmograph wave
photoplethysmograph wave
Time frame: During general anesthesia, up to 12 hours
accelerometer signal
accelerometer signal
Time frame: During general anesthesia, up to 12 hours
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