New developments in the objective assessment of cough

Area of Science:

• Medical Technology
• Computer Science
• Pulmonology

Background:

• Current cough measurement relies on subjective patient reporting (e.g., visual analog scores), which can be unreliable due to external factors.
• Objective cough measurement is needed for accurate assessment in clinical practice and research.
• Advances in digital sound recording and computer technology have spurred development of objective cough monitoring systems.

Purpose of the Study:

• To review the development and potential of automated objective cough detection systems.
• To highlight the challenges and progress in creating reliable cough monitoring tools.

Main Methods:

• Review of current subjective cough assessment methods (scoring systems, VAS).
• Exploration of emerging objective methods utilizing computer technology and digital sound recording.
• Application of signal processing techniques, neural networks, and voice recognition models for automated cough detection.

Main Results:

• Subjective measures are prone to bias from mood, vigilance, and expectations.
• Automated cough detection systems are being developed using advanced signal processing.
• Key challenges include differentiating cough sounds from speech and handling acoustic variability.

Conclusions:

• Significant progress is being made in developing automated objective cough monitoring systems.
• These systems have the potential to revolutionize cough measurement in clinical settings and trials.
• Accurate automated systems will enable a better understanding of cough and treatment efficacy.