
PPG-based algorithm achieves 98.93% accuracy in detecting device wear status with negligible battery impact, eliminating the critical problem of misclassifying patient stillness as non-compliance in continuous monitoring applications.

Simulation evidence supporting continuous, automated monitoring as a superior approach for clinical research.

A study demonstrating the use of synchronized wearables to determine when a cough monitor detects non-user coughs

Addressing privacy risks in clinical trials - edge computing and on-device cough analytics safeguard participant privacy, ensure regulatory compliance, and optimize clinical trial scalability.
15.11.2024

This white paper investigates the integration of heart rate monitoring with continuous cough frequency assessment, proposing a novel approach to evaluating cough severity and its physiological impact. The study explores opportunities to enhance patient monitoring for individuals with respiratory and cardiovascular conditions, using heart rate changes around cough events as an additional indicator of cough severity.