📄 中文摘要
打鼾不仅仅是对伴侣的烦恼，它可能是身体发出的求救信号。阻塞性睡眠呼吸暂停（OSA）是一种严重的疾病，表现为睡眠过程中呼吸反复停止和恢复。尽管专业的多导睡眠监测是金标准，但可以利用音频信号处理和人工智能构建高保真家庭监测系统。本教程深入探讨了使用 OpenAI Whisper 进行上下文音频分析和快速傅里叶变换（FFT）进行精确信号处理的睡眠呼吸暂停检测。无论是对 Python 健康技术感兴趣，还是想掌握音频分析的技能，这个项目都提供了实用的解决方案。
停止打鼾，开始分析：使用 OpenAI Whisper 和 FFT 构建 DIY 睡眠呼吸暂停监测器
📄 English Summary
Stop Snoring, Start Analyzing: Building a DIY Sleep Apnea Monitor with OpenAI Whisper and FFT
Snoring can be more than just an annoyance; it may signal a serious condition known as Obstructive Sleep Apnea (OSA), where breathing repeatedly stops and starts during sleep. While professional polysomnography remains the gold standard for diagnosis, leveraging Audio Signal Processing and AI can enable the creation of a high-fidelity home monitoring system. This tutorial delves into Sleep Apnea Detection using a powerful combination of OpenAI Whisper for contextual audio analysis and Fast Fourier Transform (FFT) for precise signal processing. This project offers practical solutions for those interested in Python Health Tech or mastering audio analysis skills.