User health management system based on portable device
A health management system and user technology, applied in the field of embedded development and machine learning, can solve the problems of low penetration rate, high price, inability to obtain accurate and comprehensive personal vital sign information health guidance, etc. short effect
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Embodiment 1
[0032] Embodiment 1: User Health Management System Based on Portable Devices
[0033] The data collection layer collects and obtains the user's physical sign information and situational information through a "digital information collector"; the digital information collector includes an Arduino UNO development board, and the input terminals of the development board are respectively connected to MAX30102 (pulse oximeter and heart rate monitor). detection module), gyroscope, DHT11 temperature and humidity sensor, step counting sensor, GPS sensor and infrared sensor, are used to obtain user information, sign information and user situation information respectively; Information and sign information were standardized. The hardware system structure framework composed of the above modules is as follows: figure 2 shown.
[0034] Hardware platform - construction of "digital information collector"
[0035] 1. The development board used is Arduino. Arduino is a convenient, flexible, a...
Embodiment 2
[0050] 1. Classify user health information based on user information
[0051] Decision tree is a basic classification and regression method. In classification problems, the process of classifying instances based on features. It can be considered as a set of if-then rules, or as a conditional probability distribution defined on the feature space and class space. Its main advantage is that the model is readable and the classification speed is fast. When learning, use the training data to establish a decision tree model based on the principle of minimizing the loss function. A reliable and practical decision tree model can be constructed by using the publicly available data sets on the Internet. The decision tree model diagram is as follows Figure 4 As shown, the specific construction is as follows:
[0052] 1) Based on user-situation-sign and other information (the conceptual diagram of the user-sign-time model is shown in image 3 As shown), the user's height, weight, ag...
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