😴Sleep Management

Service Process

1. Data collection: Sleep data (sleep time, duration, and score) is manually entered by the user or uploaded through the device.

2. Intelligent Analysis: AI generates sleep reports based on scientific models and identifies problem areas (lack of deep sleep, delayed sleep onset, etc.).

3. Personalized recommendations: Includes relaxation training before bed, diet and exercise adjustments, and environmental optimization.

4. Combination of traditional Chinese medicine conditioning: AI highlights relevant acupoints (such as Neiguan and Shenmen) on the interactive acupoint map and provides massage guidance to help you sleep.

5. Management by Objectives: Users can set goals such as "average daily sleep ≥ 7 hours", and AI provides reminders and check-in functions.

Future expansion

• Linked with smart wearable devices, it can realize real-time monitoring of breathing, heart rate, etc., and detect the risk of sleep apnea in advance.