Key result
A novel bio-inspired mathematical model for cuff-less blood pressure estimation using PPG signals achieved about 97% accuracy compared to a classical cuff-based measuring device.
Why the study?
Does a PPG-based bio-inspired mathematical model accurately estimate blood pressure compared to a classical cuff-based device?
Comparison
Noninvasive cuff-less blood pressure estimation… vs Classical cuff-based blood pressure measuring…
Design
Other
Authors
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Cautions against clinical adoption without validation; leaves open refinement of PPG models for cuffless BP estimation.
Does a PPG-based bio-inspired mathematical model accurately estimate blood pressure compared to a classical cuff-based device?
A novel cuff-less, PPG-based algorithm estimates blood pressure with approximately 97% accuracy compared to standard cuff-based devices, offering potential for integration into mobile smartphones and medical devices.
Rundo et al. (2018) studied Blood pressure estimation. Bio-inspired mathematical model for PPG signal analysis vs. Classical cuff-based blood pressure measuring device was evaluated on Accuracy of systolic and diastolic blood pressure estimation. A novel bio-inspired mathematical model for cuff-less blood pressure estimation using PPG signals achieved about 97% accuracy compared to a classical cuff-based measuring device.
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