Blood Pressure Estimation Using Noninvasive Biosignals During Pediatric Anesthesia
1 other identifier
observational
100
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 10, 2019
CompletedFirst Posted
Study publicly available on registry
September 12, 2019
CompletedStudy Start
First participant enrolled
September 28, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2020
CompletedSeptember 23, 2020
September 1, 2020
3 months
September 10, 2019
September 21, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
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).
During general anesthesia, up to 12 hours
Secondary Outcomes (3)
Electrocardiogram wave
During general anesthesia, up to 12 hours
photoplethysmograph wave
During general anesthesia, up to 12 hours
accelerometer signal
During general anesthesia, up to 12 hours
Study Arms (1)
biosignal derived blood pressure
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)
Interventions
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)
Eligibility Criteria
ASA class I, and II pediatric patients (\<12 years) scheduled for elective surgery under general anesthesia
You may qualify if:
- ASA(American Society of Anesthesiologist) Class I, II
- Scheduled for elective surgery under general anesthesia
You may not qualify if:
- History of cardiovascular disease
- History of thoracic cavity disease
- Unable to measure blood pressure
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Seoul National University Hospital
Seoul, 03080, South Korea
Related Publications (1)
Yoon Y, Cho JH, Yoon G. Non-constrained blood pressure monitoring using ECG and PPG for personal healthcare. J Med Syst. 2009 Aug;33(4):261-6. doi: 10.1007/s10916-008-9186-0.
PMID: 19697692BACKGROUND
Study Officials
- PRINCIPAL INVESTIGATOR
Hee-Soo Kim, MD.PhD
Department of Anesthesiology and Pain Medicine, Seoul National University Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 10, 2019
First Posted
September 12, 2019
Study Start
September 28, 2020
Primary Completion
December 31, 2020
Study Completion
December 31, 2020
Last Updated
September 23, 2020
Record last verified: 2020-09
Data Sharing
- IPD Sharing
- Will not share
We art not planning to share individual participant data available to other researchers