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.
Exploring integration of AI-driven cough monitoring into wearable technology, highlighting its potential as an early indicator of respiratory illness, immune stress, and chronic disease, while addressing technical feasibility, clinical validation, and future applications in personalized health & welness
Case studies on digital behavioral interventions for chronic cough management inside CoughPro, demonstrating promising reductions in cough frequency through AI-powered monitoring and science-based suppression techniques.
White paper on the connection between heart rate and cough severity. Integrating cardiovascular and respiratory metrics offers new possibilities for patient monitoring, clinical trials, and health technology innovation.
7-day continuous cough monitoring outperforms 24-hour methods. Hyfe white paper presents data-driven evidence showing how prolonged monitoring provides more reliable insights for clinical trials and research studies, offering a new standard in understanding cough variability
Exploring advanced machine learning models as solutions to the "Other Peoples Cough Problem" - distinguishing user coughs from others in shared environments.
Explores the cost-effectiveness of at-home monitoring for Chronic Obstructive Pulmonary Disease (COPD) exacerbations using a cough monitoring system. It highlights the significant economic burden COPD imposes on healthcare systems, especially through acute exacerbations that often lead to costly hospitalizations.
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.
13.02.2025
This paper evaluates the potential of CoughPro's cough management features. Coughpro is a welness cough monitoring app that integrates digital behavioral interventions to manage chronic cough. The paper uses three case studies, to highlight interesting trends in cough reduction among users engaging with the app’s Cough Management features. The findings suggest digital therapeutics (DTx) targeting Chronic Cough could serve as a viable alternative or complement to traditional chronic cough treatments, necessitating further rigorous studies.
Chronic cough affects 5-10% of adults, significantly impairing quality of life through physical and psychosocial effects. Conventional treatments focus on addressing underlying causes such as asthma or gastroesophageal reflux disease (GERD), but treatment efficacy is inconsistent. Behavioral Cough Suppression Therapy (BCST) has demonstrated success in reducing cough frequency but remains largely inaccessible. CoughPro aims to bridge this gap through a digital, science-based approach.
CoughPro is a smartphone-based wellness app that provides continuous cough monitoring using Hyfe’s AI-powered detection models. The Cough Management module introduces a structured intervention based on BCST, with three key components:
Methodology
Key Findings from Case Studies - Three users with different cough profiles demonstrated intriguing cough reduction following engagement with Cough Management.
Discussion and Implications - The findings support the hypothesis that digital BCST interventions, delivered via an accessible mobile platform, can significantly impact chronic cough outcomes. Digital therapeutics could complement existing treatments by improving adherence, providing real-time feedback, and addressing accessibility challenges in traditional therapy. However, larger, controlled studies are required to validate these preliminary observations.
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.
