Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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.
|
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biosignal measurements | Device | 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.
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Electrocardiogram wave | Electrocardiogram wave | During general anesthesia, up to 12 hours |
| photoplethysmograph wave | photoplethysmograph wave |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
ASA class I, and II pediatric patients (<12 years) scheduled for elective surgery under general anesthesia
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Hee-Soo Kim, MD.PhD | Contact | +82-2-2072-3659 | dami0605@snu.ac.kr |
| Name | Affiliation | Role |
|---|---|---|
| Hee-Soo Kim, MD.PhD | Department of Anesthesiology and Pain Medicine, Seoul National University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Hospital | Seoul | 03080 | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 19697692 | Background | 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. |
Not provided
Not provided
We art not planning to share individual participant data available to other researchers
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
| During general anesthesia, up to 12 hours |
| accelerometer signal | accelerometer signal | During general anesthesia, up to 12 hours |