© 2026 RAIsonance, Inc. All rights reserved.
FCV Technology
Our AI examines the acoustic characteristics of all 5 zones of the respiratory system to detect specific illnesses and anomalies.
What Is a Forced Cough Vocalization?
A Forced Cough Vocalization, or FCV, is an intentional cough produced on request. Unlike an uncontrolled symptomatic cough, an intentional cough can be captured in a more consistent way for acoustic analysis.
The resulting audio contains a rich combination of acoustic features that can be correlated to diseases and respiratory dysfunction.
The respiratory tract is a system of resonant air columns, compliant tissue walls, and moving air. Sound generated within it is shaped by the geometry of the airways, the mechanical properties of the surrounding tissue, and the character of the airflow itself. Disease alters all three.
Detecting these changes requires an indicator that actually interrogates the affected structures. Cough is the ideal extraction tool to capture the changes to that airflow, while our technology catalogs every one of them with minute precision.
Why the Cough Contains Information
The acoustic features captured in a cough are influenced by the anatomy of the respiratory tract, the mechanical properties of surrounding tissues, the character of the airflow, and the presence of secretions or obstruction.
Respiratory illness, inflammation, environmental exposure, and other changes can affect these physical properties in different ways. Those changes can alter the characteristics of the cough that passes through the system.
Changes in airway structure, tissue response, mucus, inflammation, constriction, airflow, and other respiratory characteristics can influence the signal contained within an intentional cough.
Inside the Cough
Five anatomical zones contribute to the cough signal.
From Respiratory Change to Sound
Different respiratory conditions can change the cough signal through different combinations of structural, mechanical, and airflow-related effects.
Changes in airway geometry or respiratory structures— including consolidation, cavitation, fibrosis, or other physical alterations—can change how sound resonates through the respiratory system.
Changes in tissue compliance, inflammation, stiffness, and damping can alter the way respiratory structures respond when airflow and pressure move through them.
Mucus, airway narrowing, bronchospasm, obstruction, and other changes can affect turbulence and airflow, creating additional differences in the resulting acoustic signal.
How RAIsonance Analyzes FCV
RAIsonance combines specialized sound capture, advanced audio processing, feature extraction, machine learning, and proprietary artificial intelligence models to analyze the FCV signal.
An intentional cough is recorded through the smartphone-based FCV interface.
Specialized processing isolates and measures over 100 acoustic characteristics extracted using the cough.
Machine learning and proprietary AI models analyze the rich, multidimensional FCV data.
The analysis is translated into disease screening results or personalized monitoring insight, depending on the application selected.
A Rich, Multidimensional Signal
A single cough sample can generate more than 5,000 data points for analysis, providing a rich foundation for identifying patterns within the acoustic signal.
Advanced audio processing and specialized feature extraction convert the recorded cough into measurable characteristics that can be evaluated computationally.
Machine learning and proprietary AI models are used to interpret the complex data to detect disease and monitor those with chronic conditions and elevated risk.
One Technology. Two Different Purposes.
The same underlying cough signal can be analyzed in different ways depending on the respiratory question being asked.
AudibleHealth AI
AudibleHealth AI analyzes the cough for acoustic patterns associated with specific respiratory diseases. It is designed as provider-directed Clinical Decision Support for rapid respiratory screening.
Explore AudibleHealth AI >FCV Sentinel
FCV Sentinel compares each new cough sample with that user’s completely unique personal baseline to identify meaningful respiratory change that might otherwise be gradual, subtle, or easy to overlook.
Explore FCV Sentinel >Personalized Monitoring
For personalized monitoring applications, users provide a series of intentional coughs over a prescribed period of time using RAIsonance’s mobile sound-capture technology. Once collected and analyzed, this rich, multidimensional group of data becomes that individual’s baseline FCV profile.
The profile functions as a detailed respiratory imprint that is unique to the individual. Later cough samples can then be compared with that person’s own history rather than relying only on a population average.
This individualized comparison is the foundation of FCV Sentinel’s ability to identify meaningful change over time.
Explore how RAIsonance applies Forced Cough Vocalization analysis to rapid respiratory disease screening and personalized monitoring over time.
© 2026 RAIsonance, Inc. All rights reserved.
