Details

Autor(en) / Beteiligte

• Wuerich, Carolin
• Wichum, Felix
• El-Kadri, Omar
• Ghantawi, Kusay
• Grewal, Navraj
• Wiede, Christian
• Seidl, Karsten

Titel

Blood Pressure Estimation based on Electrocardiograms

Ist Teil von

• Current directions in biomedical engineering, 2022-09, Vol.8 (2), p.53-56

Ort / Verlag

De Gruyter

Erscheinungsjahr

2022

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• To overcome limitations of currently used blood pressure measurement devices in accuracy, continuity and comfort, we propose an approach for blood pressure estimation from electrocardiogram (ECG) signals only. Thereby, statistical signal features are extracted from the ECG which, eventually, serve as input to a random forest regression. The method is trained and tested on MIMIC III waveform data with a large range of blood pressure values. It obtains a mean absolute error ± standard deviation of 3.73 ± 5.19 mmHg for diastolic blood pressure (DBP) and 5.92 ± 7.23 mmHg for systolic blood pressure (SBP), with Pearson coefficients Υ =0.92 and Υ =0.91 respectively.