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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...

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An automatic cough counting method and system construction for portable devices.

Yixuan Wang¹, Kehaoyu Yang^2,3, Shaofeng Xu^2,3

¹Engineering Training Centre, Beihang University, Beijing, China.

Frontiers in Bioengineering and Biotechnology

|October 14, 2024

Summary

This summary is machine-generated.

This study developed a wearable device for automatic cough counting, achieving 93.24% accuracy. This system enables long-term cough monitoring for improved respiratory disease management.

Keywords:

Mel frequency cepstrum coefficient cough counting portable devices short-time feature support vector machine

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Area of Science:

Biomedical Engineering
Signal Processing
Respiratory Medicine

Background:

Cough is a key symptom in respiratory diseases.
Prolonged cough monitoring aids clinical diagnosis.
Cough frequency is a vital indicator of lung health.

Purpose of the Study:

To design an automatic cough counting system.
To enable long-term monitoring of cough frequency per minute.
To develop a wearable device for continuous cough assessment.

Main Methods:

A cough counting system involving denoising, segment extraction, eigenvalue calculation, and recognition.
Algorithm based on audio from 50 patients using short-time features and Mel-frequency cepstral coefficients (MFCCs).
Development of a wearable device with acquisition and reception software.

Main Results:

Achieved 93.24% accuracy, 97.58% sensitivity, 86.97% specificity, and 94.47% F1 score.
Kappa value of 0.9209, with an average counting error of 0.46 counts per minute.
Average runtime of 2.80 ± 2.27 seconds, demonstrating real-time performance.

Conclusions:

The system offers improved accuracy, real-time performance, and computational speed over existing methods.
The wearable device facilitates long-term cough monitoring for patients.
Applicable to portable devices with limited computing power for continuous health assessment.