Biovitals Analytics Engine

The Biovitals Analytics Engine is a cloud-based software system designed to continuously analyze heart rate, respiratory rate, and activity data from the VitalPatch wearable sensor, establishing a dynamically updated, individualized physiological baseline for adult patients during periods of minimal activity (activity count < 4). It employs a proprietary algorithm to compute a Biovitals Index (BI), a scalar (0-1) value displayed in 30-minute segments, that quantifies deviations from this baseline for retrospective review by clinicians as an adjunctive monitoring tool.

The Biovitals Analytics Engine (BA Engine) is a cloud-based software platform for monitoring adult patients by analyzing continuous heart rate, respiratory rate, and activity data from the compatible VitalPatch (K183078) wearable sensor. It is intended for use when patients exhibit minimal activity (activity count < 4), with the engine processing data to establish an individualized biometric signature. This baseline signature is initially formed using data from the first 24 hours (requiring 3 to 13 hours of actual processed data) and is dynamically updated, typically incorporating the last 9 to 45 hours of data that show low variability in vital sign relationships. The engine computes a Biovitals Index (BI), a scalar value (0-1) displayed in 30-minute segments if at least 10 minutes of valid minimal activity data are present in the segment. The BI quantifies deviations from the patient's dynamic baseline, with values ≤0.3 indicating little/no change, >0.3-≤0.7 moderate change, and >0.7 significant change. Intended for retrospective review by practitioners as an adjunctive tool, not for diagnosis or treatment decisions, its performance was validated in studies including one with 50 emergency department patients where BI correlated with physician-assessed changes in vital sign relationships (Positive Percent Agreement lower 95% CI bound > 0.7).

AI Regulatory Concerns

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• Q1. How is "minimal activity (activity count < 4)" defined and validated to ensure robust data quality for Biovitals Index calculation when using the compatible VitalPatch sensor across diverse patient activities?; What is the typical timeframe and minimum data quantity required for the algorithm to establish a reliable, individualized biometric signature for a new patient, and how frequently is this baseline dynamically updated under various monitoring durations?; How does the algorithm differentiate between clinically significant physiological changes reflected in the Biovitals Index and benign variations or sensor-related artifacts, especially during prolonged ambulatory monitoring?; If additional FDA-cleared wearable biosensors for heart rate, respiration rate, and activity are to be integrated in the future, what would be the validation process and expected performance benchmarks to ensure compatibility with the Biovitals Analytics Engine?; Considering the Biovitals Index is an adjunctive tool, what specific guidance or thresholds are provided to clinicians for interpreting BI trends (e.g., sustained moderate BI versus acute significant BI) in conjunction with other clinical information for patient assessment?