📄 中文摘要
该教程深入探讨了时间序列分析和预测健康监测的应用，构建了一个完整的管道，利用Garmin Connect API获取心率变异性（HRV）数据，并将其存储在InfluxDB中。通过使用长短期记忆神经网络（LSTM），预测自主神经系统的疲劳状态。当压力水平超过安全阈值时，系统将触发Webhook，锁定用户的访问权限，以防止进一步的身体损耗。这一方案旨在帮助用户在工作中及时识别和应对压力，促进身心健康。
应对倦怠：基于LSTM和Garmin HRV数据构建实时压力监测器
📄 English Summary
Combatting Burnout: Building a Real-Time Stress Monitor with LSTM and Garmin HRV Data 🚀
This tutorial delves into the applications of Time Series Analysis and Predictive Health Monitoring by building an end-to-end pipeline that fetches Heart Rate Variability (HRV) data using the Garmin Connect API and stores it in InfluxDB. An LSTM Neural Network (Long Short-Term Memory) is employed to predict autonomic nervous system fatigue. When stress levels exceed a critical threshold, the system triggers a Webhook to lock the user out, preventing further physical strain. This solution aims to assist users in recognizing and managing stress in their work environment, promoting overall well-being.