Blood Pressure Estimation Using Noninvasive Biosignals During Pediatric Anesthesia
试验速览
- 阶段
- 不适用
- 入组人数
- 100
- 试验地点
- 1
- 主要终点
- Systolic and diastolic Blood pressure
研究概览
简要总结
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.
详细描述
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.
- PAT(time between R peak of ECG and beginning of the pulse of PPG)
- PEP(time between R peak of ECG and peak of accelerometer signal)
- 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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- — 至 12 Years（Child）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •ASA(American Society of Anesthesiologist) Class I, II
- •Scheduled for elective surgery under general anesthesia
排除标准
- •History of cardiovascular disease
- •History of thoracic cavity disease
- •Unable to measure blood pressure
结局指标
主要结局
Systolic and diastolic Blood pressure
时间窗: During general anesthesia, up to 12 hours
Systolic and diastolic blood pressure by automated oscillometric device or arterial waveform from IntelliVue MX800 Bedside patient monitor (Philips Healthcare, Amsterdam, Netherlands).
次要结局
- photoplethysmograph wave(During general anesthesia, up to 12 hours)
- Electrocardiogram wave(During general anesthesia, up to 12 hours)
- accelerometer signal(During general anesthesia, up to 12 hours)
研究者
Hee-Soo Kim
Professor
Seoul National University Hospital