Key result
A convolution neural network estimating blood pressure from PPG signals achieved mean absolute errors of 2.55 ± 3.92 mmHg for systolic BP and 1.66 ± 2.76 mmHg for diastolic BP.
Why the study?
Continuous blood pressure waveform estimation from photoplethysmography signals can provide more detailed cardiovascular status information than traditional cuff-based methods.
A deep learning method using PPG signals can accurately estimate continuous blood pressure, meeting BHS and AAMI protocol standards.
Answers are grounded in this paper and cite their sources.
CNN enables cuffless continuous BP estimation from PPG; hypothesis-generating and requires prospective clinical validation before adoption.
Objective . The aim of this study is to investigate continuous blood pressure waveform estimation from a plethysmography (PPG) signal, thus providing more human cardiovascular status information than traditional cuff-based methods. Approach . The proposed method utilizes the feature extraction ability of a convolution neural network to estimate blood pressure (BP) from PPG signals without the need for waveform analysis and signal feature extraction. Main results . The network achieved mean absolute errors and standard deviations of 2.55 ± 3.92 mmHg for systolic BP (SBP), 1.66 ± 2.76 mmHg for diastolic BP (DBP), and 2.52 ± 3.02 mmHg for overall pressure waveform. The results meet the best levels of the protocols of the British Hypertension Society (BHS) and the Association for the Advancement of Medical Instrumentation (AAMI). Significance . The proposed method shows promise for noninvasive continuous BP monitoring in hospital wards and daily life, which can assist in clinical diagnosis, disease treatment, and rehabilitation.
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Liang et al. (2023) studied Blood pressure monitoring. Convolution neural network for BP estimation from PPG signals was evaluated on Mean absolute error for systolic and diastolic blood pressure. A convolution neural network estimating blood pressure from PPG signals achieved mean absolute errors of 2.55 ± 3.92 mmHg for systolic BP and 1.66 ± 2.76 mmHg for diastolic BP.
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