研究目的
Investigating the use of color spectrographic analysis of breathing sounds recorded from the external ear canal as a candidate technology for respiratory monitoring.
研究成果
Breath sounds can be reliably detected via recordings from the ear canal in both healthy and sick individuals. The method shows potential for distinguishing between healthy individuals and those with respiratory diseases or smokers based on spectrographic analysis.
研究不足
The study is preliminary in nature, and further research is needed to validate the method for clinical use. The sample size was limited to 30 cases, and the environment needed to be kept silent for high-quality recordings.
1：Experimental Design and Method Selection:
A miniature electret microphone was modified with an adapter for placement in the external ear canal. The signal was amplified and connected to a real-time color spectrogram program on a laptop. Initially, 'spectrogram16.exe' was used, followed by a more advanced MATLAB-based program.
2：exe' was used, followed by a more advanced MATLAB-based program.
Sample Selection and Data Sources:
2. Sample Selection and Data Sources: Data were collected from 30 cases (16-73 years old) including healthy individuals and patients with various conditions, recorded in MP3 format using Windows Sound Recorder.
3：List of Experimental Equipment and Materials:
Modified electret microphone (Radio Shack 30-3013), adapter, audio amplifier, laptop with Windows OS, MATLAB programming environment.
4：Experimental Procedures and Operational Workflow:
High-quality recordings were ensured by maintaining a silent environment. Two-minute recordings were made from each participant.
5：Data Analysis Methods:
The MATLAB program used the short time Fourier transform (STFT) to display color spectrograms as frequency-time graphs. Statistical analysis was performed to compare spectrogram differences among groups.
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