A.A. Khomyakova1, M.A. Yangirov2, M. Al-harosh3

1,2,3 FSAEI HE “Bauman Moscow State Technical University” (Moscow, Russia)

1 khomyakovaaa@student.bmstu.ru

This paper presents an algorithmic and software complex for cuffless beat-to-beat arterial pressure monitoring using synchronous two-channel electrical impedance plethysmography to record local pulse wave velocity and arterial diameter changes. Analytically, the artery is modelled as a homogeneous cylindrical inclusion that maps the arterial radius to impedance, while the pressure–diameter relationship follows the haemodynamic P–β exponential model. Data acquisition uses a tetrapolar front-end sampling at 500 Hz, processed by a four-stage Python workflow: robust Akima-spline detrending with automatic artefact rejection; a six-point fiducial detector on up-sampled data that determines beat-to-beat pulse wave velocity; an accelerated Brent-bracketed solver for the inverse impedance problem; and a median-anchored two-point pressure calibration. The complex was verified using in vivo recordings from a healthy volunteer. After artefact removal, the reconstructed beat-to-beat pressures varied around the calibration values of 122 mmHg (systolic) and 75 mmHg (diastolic), and the average runtime per beat did not exceed 0.7 s. The results expose the physiological cycle-to-cycle variability that conventional cuff-based devices inherently average out, and provide the algorithmic basis of a wearable cuffless blood pressure monitoring system.

Khomyakova A.A., Yangirov M.A., Al-harosh M. Software and algorithmic complex for cuffless arterial pressure monitoring based on synchronous recording of local pulse wave velocity and arterial diameter changes // Biomedical Radioelectronics. 2026. V. 29. № 6. P. 106−114. DOI: https://doi.org/10.18127/j15604136-202606-18

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