支持

入门

如何使用本应用？

Snore Timeline 设计简洁。打开应用并按下录音按钮即可开始跟踪睡眠声音。将手机放在床头柜上，离您约 30-60 厘米，最好接上充电器。应用将整夜录音并实时处理音频。

应用能检测什么？

应用使用设备端 AI 检测并分类多种睡眠声音：

• Snoring — The primary focus, detected at frequencies mostly between 50Hz-3kHz. Each detection is marked on the timeline with its volume level.
• Gasps — Sudden intake of breath sounds, often associated with breathing disruptions
• Coughs — Coughing during sleep, tracked separately from snoring
• Sleep talking — Speech, whispers, and babbling sounds
• Breathing — Regular breathing patterns used for both disruption detection and sleep stage classification

所有检测均通过 Apple 的 Sound Analysis 框架实时进行，完全在您的设备上运行。

需要账户吗？

不需要。Snore Timeline 没有账户、登录或云服务。一切都在您的设备上本地运行。

检测原理

实时 AI 分析

Unlike apps that sample audio periodically, Snore Timeline analyzes your audio continuously in real-time using Apple's on-device sound classification. Every sound is processed as it happens—no data is skipped or sampled.

置信度阈值

The AI assigns a confidence score to each detected sound. The app uses different thresholds depending on the sound type and whether you're actively using the phone or it's running in the background (when you're actually sleeping). This helps reduce false positives while maintaining accuracy.

分贝测量

Sounds are measured in decibels (dB SPL), with the app capable of measuring up to 105 dB. Think of it like a volume meter—the higher the number, the louder the sound. The app tracks both peak and average decibel levels for each episode.

了解时间轴

交互式时间轴可视化

Your entire night is displayed on a scrollable, zoomable timeline. You can navigate through your sleep session to see exactly when sounds occurred.

时间刻度

The timeline supports multiple zoom levels:

• 1-second intervals — Most detailed view, each tick represents 1 second
• 5-second intervals — Detailed view for examining specific episodes
• 1-minute intervals — Good for reviewing specific periods
• 10-minute intervals — Overview of sleep patterns
• 1-hour intervals — Full night at a glance

Tip: Hold down the zoom button to quickly zoom all the way in or out—no need to tap multiple times.

在不同夜晚间切换

Swipe left or right on the Nightly Summary screen to move between different nights. The same gesture works on the 周摘要 screen to navigate between weeks.

日历视图

Use the calendar to jump directly to any recorded night. Nights with recordings are highlighted so you can easily find your data.

时间轴上的睡眠阶段

If sleep stages were detected, you'll see colored background bands on your timeline indicating which stage you were in at each point during the night. This makes it easy to correlate snoring episodes with specific sleep stages.

周摘要

The 周摘要 screen shows trends across multiple nights, allowing you to track:

• Episode count trends — See if your snoring is increasing, decreasing, or staying consistent
• Average volumes — Track whether your snoring is getting louder or quieter over time
• Total recording time — How much sleep you're getting each night
• Week-over-week comparisons — Compare the current week to previous weeks

This helps you identify patterns and see if lifestyle changes (sleep position, weight loss, avoiding alcohol, etc.) are making a difference.

事件与发生情况

什么是打鼾信号？

Every time the app detects a snoring sound, it counts as one "snore signal." More signals means more snoring activity during that period.

什么是事件？

An episode is a group of snore signals that happen close together in time. When the app detects snoring, it creates an episode. If no snoring occurs for 30 seconds, that episode ends. The next time snoring is detected, a new episode begins.

事件详情

Each episode shows:

• Duration — How long the episode lasted
• Snore count — Total number of snore signals
• Peak volume — Loudest moment in decibels
• Average volume — Overall loudness level
• Event breakdown — Counts of snoring, gasps, coughs, and sleep talking
• Plain-English summary — A description like "Heavy snoring for over 20 minutes, with a breathing disruption"

事件描述

The app automatically generates descriptions based on the episode characteristics:

• Volume levels: Faint (<40 dB), Light (40-48 dB), Audible (48-56 dB), Heavy (56+ dB)
• Rhythm patterns: Rhythmic (consistent intervals), Regular (minor variations), Intermittent (stop-and-start)
• Trends: Whether snoring grew louder, faded, or stayed stable over time

呼吸中断

什么是呼吸中断？

A breathing disruption is flagged when the app detects a specific pattern: audible breathing followed by extended silence, then a recovery sound. This may indicate pauses in breathing during sleep.

如何检测？

The detection requires three conditions in sequence:

1. Baseline breathing — The app must detect audible breathing sounds for at least one minute before the silent period (11 out of 12 five-second windows must have breathing detected)
2. Extended silence — A period of complete silence lasting 10 seconds or more
3. Recovery sound — The silence is broken by a snore signal that is at least 15 dB louder than the average volume during the silent period

时间轴标记

Breathing disruptions appear as subtle gray-blue markers on your timeline, making it easy to spot patterns throughout the night.

重要声明

This is audio analysis only—not a medical device. The app cannot diagnose sleep apnea or any other medical condition. It analyzes sound patterns, not blood oxygen levels or brain activity. If you notice frequent breathing disruptions, consider discussing the results with a healthcare professional.

睡眠阶段

什么是睡眠阶段？

Sleep Stages is a feature that estimates which sleep stage you're in at any given time throughout the night: Awake, Light Sleep, Deep Sleep, or REM (Rapid Eye Movement). These estimates appear as colored bands on your timeline and as a hypnogram chart in your nightly summary.

它是如何工作的？

The app analyzes the regularity and variance of your breathing patterns captured through the microphone. After approximately 15 minutes of recording, the algorithm establishes your personal breathing baseline. It then uses research-based thresholds to classify sleep stages:

• Deep Sleep — Steady, regular breathing with low variance
• REM Sleep — Irregular breathing patterns with high variance
• Light Sleep — Moderate breathing regularity
• Awake — Movement, sounds, or breathing patterns inconsistent with sleep

The algorithm also considers breathing rate, snoring patterns, and time of night. Deep sleep typically occurs early in the night, while REM increases toward morning.

理解睡眠曲线图

The hypnogram is a chart that shows your progression through sleep stages across the night. Each colored band represents 5 minutes in a particular stage:

• Orange — Awake periods
• Cyan (light blue) — Light Sleep
• Indigo (deep blue) — Deep Sleep
• Pink/Cyan — REM Sleep

You can see how many complete sleep cycles you went through, when you had the most deep sleep, and when REM sleep occurred.

阶段分布

The nightly summary also shows the percentage of time you spent in each stage. A typical night's sleep might look like:

• 45% Light Sleep
• 20% Deep Sleep
• 27% REM Sleep
• 8% Awake

These percentages can vary based on age, health, stress levels, and other factors.

估算的准确度如何？

Sleep stage detection is based on published research into the relationship between breathing regularity and sleep stages. The estimates provide a useful picture of your general sleep architecture and trends over time. Research using similar audio-based methods has achieved approximately 70% accuracy when validated against polysomnography (clinical sleep studies).

Important: These are estimates from audio analysis, not clinical measurements. The app has not been validated against polysomnography and should be treated as estimates, not diagnoses. For clinical sleep analysis, consult a healthcare professional.

为什么没有检测到睡眠阶段？

Sleep stage detection requires audible breathing throughout the recording. If stages aren't detected:

• Your breathing may not be audible enough to the microphone
• The phone may be positioned too far away (try 1-2 feet)
• Background noise may be interfering with breathing detection
• The recording may be too short (algorithm needs ~15 minutes to establish baseline)

研究参考

The sleep stage classification algorithm is informed by:

• Aging Effects on Cardiac and Respiratory Dynamics in Healthy Subjects across Sleep Stages (Schumann et al., 2010) — Demonstrates that respiratory scaling exponents differ measurably between sleep stages
• Using Spectral Continuity to Extract Breathing Rate from Heart Rate and Its Applications in Sleep Physiology (Orphanides et al., 2024) — Confirms that deep sleep has the most stable and predictable breathing
• Sleep Stage Classification from Heart-Rate Variability — Audio-based sleep stage classification achieving ~70% accuracy

音频回放与导出

聆听录音

Tap any episode or moment on the timeline to play back that portion of your recording. The app includes audio enhancement to make sleep sounds easier to hear.

下载事件音频

Tap the download button on any episode to save that audio clip to your Files app. The app combines all relevant audio segments into a single file for that episode.

在哪里找到下载

导出数据

You can export detailed data for any night as CSV files:

• Nightly Summary.csv — Overall statistics including:
  • Total recording time and date
  • Episode count, total snore signals, peak and average volumes
  • Breathing disruption count
  • Sleep stage distribution (if detected) — time spent in each stage
  • Event breakdown (gasps, coughs, sleep talking)
• Snoring Episodes.csv — Detailed data for each episode:
  • Start time, end time, and duration
  • Snore signal count, peak volume, average volume
  • Event counts (gasps, coughs, sleep talking)
  • Rhythm classification and trend analysis
  • Plain-English description
  • Breathing disruption flag (if applicable)
  • Sleep stage at the time (if detected)

This data can be useful for tracking patterns over time or sharing with healthcare providers. CSV files can be opened in Excel, Numbers, Google Sheets, or any spreadsheet app.

存储与录音质量

录音质量选项

Choose the quality level that fits your needs:

Basic (Snore-Focused) — ~8 MB/hour

• Compresses recordings to focus on frequencies below 4,000 Hz
• Optimized for snoring sounds (50Hz-3kHz)
• Smallest file size, uses minimal storage
• Quieter sounds may be less detailed

Standard (Clear Audio) — ~15 MB/hour

• Captures frequencies up to 8,000 Hz (full speech range)
• Good balance of quality and storage
• Better for distinguishing snores from other sounds

High Fidelity (Full Detail) — ~25 MB/hour

• Records the full audible spectrum up to 24,000 Hz
• Preserves all audio detail including room acoustics
• Uses the most storage space

存储管理

The app includes options to manage storage:

• Storage limit — Set a maximum amount of storage (1-8 GB) for recordings
• Auto-trim — Automatically delete oldest recordings when the limit is reached

更佳录音建议

手机放置

Keep your phone about 1-2 feet away from you for best results. Closer means louder detection, but too far away reduces accuracy—especially for capturing breathing sounds, which must be clearly audible to be detected.

Ideal setup: Place your phone on a nightstand near your bed, plugged in for charging.

电量消耗

Snore Timeline is optimized for overnight recording. Most users report 20-30% battery drain over 8 hours. Keeping your phone plugged in ensures uninterrupted recording.

蓝牙设备

The app supports Bluetooth audio devices including AirPods. However, for best breathing detection, the phone's built-in microphone typically provides more consistent results.

房间环境

For breathing disruption detection and sleep stage classification to work effectively, your regular breathing needs to be audible to the phone's microphone. If you're a very quiet breather or the phone is too far away, breathing sounds may not be detected consistently enough to establish a baseline.

优化睡眠阶段检测

To get the most accurate sleep stage estimates:

• Consistent placement — Use the same phone position each night so breathing is detected consistently
• Quiet room — Minimize background noise from fans, AC units, or outside traffic
• Full night recording — The algorithm improves over time; longer recordings (6+ hours) provide better stage classification
• Audible breathing — The phone must be close enough to pick up your breathing sounds clearly (1-2 feet is ideal)

故障排查

应用没有录制任何内容

The app only saves audio when it detects sleep-related sounds. If nothing was recorded:

• Check that Snore Timeline has microphone permission in Settings > Privacy > Microphone
• Make sure the phone was close enough to detect sounds (1-2 feet)
• Ensure the phone wasn't muted or in Do Not Disturb mode that might affect recording
• You may simply have had a quiet night with minimal snoring

未检测到呼吸中断

Breathing disruption detection has strict requirements:

• Your regular breathing must be audible to the phone for at least one minute before the silent period
• The phone may be too far away to pick up breathing sounds
• The silence must last at least 10 seconds
• A recovery sound (snore, gasp) must follow that's significantly louder than the silence

检测似乎不准确

If you're getting too many or too few detections:

• Try adjusting phone placement—closer for more sensitivity, further for less
• Background noise (fans, AC, traffic) can affect detection accuracy
• The app uses different sensitivity when in the background vs. foreground to reduce false positives from daytime sounds

存储空间快满了

• Delete old recordings you no longer need from within the app
• Enable storage limits in settings to automatically manage space
• Switch to a lower recording quality to reduce file sizes

录音期间应用崩溃或关闭

The app is designed to continue recording in the background. If it stopped unexpectedly:

• Make sure Background App Refresh is enabled for Snore Timeline
• Keep the phone plugged in—iOS may close background apps when battery is low
• Check that no other apps are competing for audio resources

隐私与数据

我的数据存在哪里？

所有录音和数据都本地存储在您的 iPhone 上。不会上传到任何服务器或云服务。

应用收集任何信息吗？

不。Snore Timeline 不收集、传输或存储任何个人信息。没有分析、跟踪或账户。

如何删除我的数据？

您可以从应用的时间轴视图中删除录音。要完全删除所有数据，请从设备上卸载应用。

我可以分享我的数据吗？

可以 — 您完全掌控自己的数据。使用导出功能保存录音和 CSV 报告，然后通过您选择的方式（电子邮件、消息、云存储等）分享。

完整详情请见我们的 Privacy Policy.

联系我们

如果您有此处未回答的问题、遇到了错误或有应用反馈，请联系我们。我阅读每条消息并尽力快速回复。

Email: meneliktucker@gmail.com

Reddit: u/Comprehensive_Tap769

报告错误时请附上：

• 您的 iPhone 型号和 iOS 版本
• 问题发生时您在做什么
• 您看到的任何错误消息