Development and Internal Validation of an AI-Enabled Cuff-less, Non-invasive Continuous Blood Pressure Monitor Across All Classes of Hypertension

Background: Non-invasive, continuous blood pressure monitoring technologies require additional validation beyond standard cuff-based methods. This study evaluates a non-invasive, multiparametric wearable cuffless blood pressure (BP) diagnostic monitor across all hypertension classes with diverse subjects. Methods: A prospective, multicenter study assessed Nanowear's SimpleSense-BP performance, including induced and natural BP changes, significant BP variations (Systolic BP (SBP) ≥ ± 15 mm Hg and Diastolic BP (DBP) ≥ ± 10 mm Hg), and reference input value validity over 4 weeks. Results: 303 subjects (18–83 yrs; 50.16% Female) participated in algorithmic development and validation (Normal – 35%, Prehypertensive – 24%, Stage 1 – 24%, Stage 2 – 17%). 54 subjects were tested for induced change performance, 149 exhibited significant changes, and 91 validated reference value duration. Conclusions: The study clinically validated a continuous, AI-based BP diagnostic monitor using non-invasive wearable data. Further testing on diverse populations and external validation are recommended. The protocol was inspired by ISO 81060–2 and IEEE 1708:2019 standards.