The best medical Iot-"Body Feeling network"

Iot applications in the medical field are referred to as the "body sensor network". According to the introduction, body sensor network is used to capture people's physiological status through mobile devices and sensors, such as physical activity level, blood pressure, heartbeat, glucose level, and other important life indexes, and upload the data to the personal electronic health records for doctors or individuals to access them anytime, anywhere, this allows doctors to help people establish healthy lifestyles and monitor and prevent diseases early.

A sensor is the front end of the body sensor network. It can collect many characteristic data. Sensors Used for the body sensor network can be divided into two types: one type can be transplanted to the human body; the other is worn on the body surface, for example, monitoring of pulse, blood pressure, and heartbeat. In terms of appearance, the sensor is also very simple. Some sensors are similar to watches on the wrist, some are like headphones on the ears, and some are placed in the shoes, and stick it to a part of the body like a Band-Aid.

In addition, the traditional health monitoring model includes daily monitoring, health check, and medical treatment. Routine monitoring is usually done at home, and regular medical monitoring equipment in the home includes sphygmomanometer, blood glucose meter, weight scale, thermometer, etc. They can help people achieve routine health monitoring. However, these devices are rarely carried with you. Therefore, they can only achieve health monitoring at a fixed position and cannot monitor the health of devices anytime, anywhere.

With the maturity and application of 3G wireless technology, mobile phones and sensors can be connected via Bluetooth, and mobile phones can receive signals from sensors. The data collected by the sensor can be transmitted to the mobile phone, so that people can "take the mobile phone to where to test ".

After a large amount of health monitoring data is collected, the analysis and use of the data depend on the backend of the slice network-cloud computing platform, cloud computing can implement a series of data analysis, data mining, and data search tasks at the backend. With the support of a powerful cloud computing platform, A large amount of health monitoring data can be quickly converted into practical and convenient health guidance information without manual computation and analysis, and can be sent to mobile phones at any time to remind people to pay attention to what problems should be paid, in this way, you can prevent problems before they occur.

The perfect combination of sensors, 3G wireless networks, and cloud computing technologies will create a futuristic body-feeling network. "It is widely used in people's life and health care, revolutionizing the traditional health model, we will wait and see the fact that health monitoring is ubiquitous.