Non-invasive estimation of brachial pressure waveforms via oscillometric transfer function analysis using cardiovascular hardware simulator
Year: 2026
Type: article
Abstract: Cuff oscillations are dynamically distorted relative to arterial pressure. We investigated reconstruction of normalized brachial arterial pressure waveforms using a cardiovascular hardware simulator with six upper-arm phantom configurations. Transfer functions were identified from random excitation and evaluated on separate pulsatile recordings at 60–96 beats/min and nominal cuff pressures of 40, 100 and 160 mmHg. Eighteen individual transfer functions (ITFs) were estimated. Generalized transfer functions (GTFs) were constructed by equally weighted complex averaging; leave-one-phantom-configuration-out evaluation excluded the test configuration. On the same 72 conditions, ITF reconstruction yielded Pearson correlation r = 0.9865 ± 0.0102 and normalized root-mean-square error (nRMSE) = 0.0528 ± 0.0213, whereas held-out GTF yielded r = 0.9725 ± 0.0192 and nRMSE = 0.0713 ± 0.0235 (mean ± standard deviation). A phenomenological standard-linear-solid model fitted the complex responses with R 2 = 0.9628 ± 0.0161. Exploratory analysis of peak-height ratios identified residual reconstruction errors and sensitivity to peak-detection settings. These results support normalized waveform reconstruction in the tested simulator; they do not establish system linearity, absolute blood-pressure accuracy or clinical generalizability.
Source: Scientific Reports
Authors: Junki Hong, Bomi Lee, Jae-Hak Jeong, Yong-Hwa Park
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7225810625
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