[Use of an accelerometer to measure coughing]

Area of Science:

• Biomedical Engineering
• Respiratory Medicine
• Signal Processing

Background:

• Coughing detection traditionally relies on sound, which can be difficult to distinguish from speech.
• Existing methods require complex analysis, limiting practical application in clinical settings.
• A non-auditory method for cough detection is needed to improve accuracy and ease of use.

Purpose of the Study:

• To develop and evaluate a novel method for detecting coughing based on body-surface acceleration.
• To differentiate coughing events from other physiological sounds like speech and laughter.
• To establish a foundation for a continuous, long-term cough monitoring system.

Main Methods:

• Utilized an acceleration sensor, originally for aircraft communication, attached to the chest wall.
• Recorded chest wall acceleration as voltage changes in 27 patients presenting with cough.
• Minimized confounding factors by having subjects rest in bed to exclude movement-related acceleration.

Main Results:

• Large amplitude acceleration waves were consistently detected during coughing episodes.
• Conversational speech and laughter produced significantly weaker acceleration waves compared to coughing.
• The acceleration-based method successfully distinguished coughing from other activities.

Conclusions:

• Body-surface acceleration measurement offers a viable, non-auditory alternative for cough detection.
• This approach simplifies cough identification compared to sound-based methods.
• Future development aims for multi-dimensional, continuous monitoring to assess antitussive drug efficacy.