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.
17.08.2024
Explores the complexities of defining and measuring cough bouts using continuous monitoring technology. It highlights the inadequacies of traditional definitions and emphasizes the need for patient-centered metrics to better capture the severity and impact of chronic coughing on individuals' quality of life.
This Paper explores the limitations of traditional cough counting in assessing the severity of chronic cough and introduces cough bouts as a more accurate measure of patient experience. Through case studies and analysis of chronic cough patterns, the paper demonstrates that arbitrary definitions of cough bouts - such as using a 2-second pause between coughs -fail to reflect the true impact on quality of life.
The paper advocates for a shift toward patient-centered metrics, using continuous cough monitoring technology and real-time feedback to better define and understand bouts. It suggests that future research and clinical trials should focus on cough episodes that most affect patients to improve treatment outcomes.
