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数据与复现
WE
wearable-analysis-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Analyze wearable sensor data: activity, sleep, HRV, ECG for health monitoring.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/wearable-analysis-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Wearable Analysis Agent processes data ，面向 consumer health devices (Apple Watch，Fitbit，Oura) to monitor vital signs，detect arrhythmias，、 analyze lifestyle patterns。
- When analyzing raw export data ，面向 wearables (XML，JSON，CSV)。
- To detect irregular heart rhythms (AFib) ，面向 PPG data。
- 用于 longitudinal sleep quality 、 circadian rhythm analysis。
- To correlate activity levels ，支持 biomarkers 或 symptom logs。
原始文档
SKILL.md 摘录
Core Capabilities
- Arrhythmia Detection: Algorithms to identify Atrial Fibrillation burdens from irregular tachograms.
- Sleep Staging: classifying wake/REM/deep sleep from movement and heart rate variability.
- Activity Recognition: Categorizing physical activities and calculating intensity (METs).
- Trend Analysis: Detecting significant deviations in resting heart rate or HRV over weeks/months.
Workflow
- Ingest: Parse standardized health exports (e.g., Apple Health XML).
- Preprocess: Clean noise, handle missing data, align timestamps.
- Analyze: Apply specific detection algorithms (e.g.,
arrhythmia_detector.py). - Report: Generate summary of anomalies and trends.
Example Usage
User: "Analyze my Apple Health export for signs of irregular heart rhythm last month."
Agent Action:
适用场景
- Use wearable-analysis-agent ，用于 clinical，translational，或 medical research tasks。
- Apply wearable-analysis-agent when healthcare-specific guidance is required。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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