After the user's authorization, the smart health bracelet will upload the relevant physical health monitoring information of each wearer in real time. Once this information is uploaded to the database, it is aggregated and analyzed.

The integrated personal health monitoring system will analyze the relevant testing information of each bracelet user in recent days, weeks, months or even longer.

The system will extract these abnormal monitoring information, and the personal health integrated monitoring system and mainframe computer will process and analyze it in more detail. And according to the specific situation of each user with abnormal information, formulate a disposal recommendation.

The recommendations are also reviewed by a dedicated medical expert, and if they are correct, they are sent to the user's device in the form of a message.

Such long-term physical health monitoring has a very good preventive effect on the personal health of our users, and the personal health integrated monitoring system uses a large computer to determine whether there is a problem with the user's physical health according to the changes in these values.

Therefore, this is a very good auxiliary role for the early detection of some diseases, as well as the prevention and control of some chronic diseases.

It is important to say that once you accept and agree to this service, it means that you have joined our 'Immortal Project'.

The core purpose of this program is to use the personal health big data information of the majority of users to carry out more refined calculations and analysis. Thus it is used by our scientists to conduct some research on human life sciences, intractable diseases, etc.

As you know, at present, we still have a shallow understanding of many diseases, especially some incurable diseases. The pathogenesis, the effects on the body, if controlled, how to treat it, etc.

These require summary analysis of long-term empirical data to obtain relevant cognitive and therapeutic experiences.

In the past, the traditional data and information statistics on the hospital side were too backward and very slow, and the information could not be updated in real time.

Now, through the big data system, we can understand this information, and through the analysis of individual cases, we can obtain more specific and accurate data information.

This has a great role in promoting the research and analysis of human life sciences and incurable diseases by our scientists and pathologists.

Originally, we could do this quietly, just like many companies and software devices, to quietly collect everyone's personal information and do the so-called big data.

However, in line with the principle of being responsible to the majority of users, I still plan to make it clear to you in advance, and hope to get your support.

In order to respect each of our right to choose, this feature is free for everyone to check, and we will not force everyone to agree.

In fact, this is what we have been doing in the past, and thanks to everyone's trust, until now, our company has not had a single case of large-scale user information being leaked and stolen.

In this regard, we have also been recognized by the majority of users and have received high praise.

We know that the biggest concern for everyone is whether the collection of personal health information will affect or endanger the security of personal information and cause some inconvenience.

For example, some harassing phone calls, some recommended medicines, and some medical advertisements and the like.

In this regard, please be assured that we will not sell this data information to commercial advertising companies, and will only use it for research purposes by relevant medical institutions.

In addition, the medical information uploaded by the majority of users is only a string of numeric identification codes.

Our personal health monitoring system will not display your real identity information, as well as your contact number and address.

In this way, even if these personal health information are hacked or accidentally leaked, the security of the personal identity information of the majority of users will not be jeopardized.

Because the identity information of each user is a string of digital identification codes, and this string of digital identification codes is encrypted, which is impossible for outsiders to know and difficult to crack.

What's more, we maintain very strict confidentiality measures for this data information, and our core data systems have not been compromised by hackers so far.

Having said so much in one breath, Wu Hao also hopes to convince the general public as much as possible. Because this kind of big data information about personal health is very important, it is of great value for life science research.

Regarding this plan, it has received strong support from relevant departments and research institutions, otherwise he would not have said so at the press conference.

It is to be expected that this matter will definitely cause some controversy. After all, the general public is still cautious and even opposed to this kind of big data information collection.

The reason is that the management of big data information application was not strict enough, which made many people take advantage of loopholes and had a great impact on their personal lives.

For example, when using a mobile phone, talk about a product on a chat app. I didn't even use my mobile phone, but I just talked about a certain product in my daily voice chat with my friends.

The user then opens some shopping app or browser, as well as some other app. Users will find that the product they talked about before will be recommended on the placement.

This makes users feel as if their phones are being monitored or bugged on, which makes users feel uneasy.

What's even more terrifying is that when a user wants to buy something, opens a related shopping app, or browses other apps, the ad slot just happens to recommend this one.

Users will wonder why these software are recommended when they just thought of buying them, and how can they be telepathetic, and how can they understand themselves so well.

This is big data technology, through some of the user's usual behaviors, so as to predict some possible consumption opportunities and consumer goods.

You can even use some other information to recommend some products in a targeted manner.

For example, the most common weather information, various application software will know the user's location through positioning, and recommend some products in a targeted manner, including umbrellas, sunscreens, T-shirts, and cotton clothes.

In addition, according to the aggregate analysis of users' personal big data information, the system will analyze the preferences, consumption habits, spending power and so on of male and female consumers of different ages.

As a result, these big data analysis information will also be sold to relevant merchants and platforms, and targeted design and manufacturing products, and targeted recommendation of different products to different user groups.

In fact, the application of this kind of big data information will not affect the security of our personal information and our lives under normal circumstances, on the contrary, with the support of big data information, we can also live more easily.

The system will know your preferences and recommend the products you like, which saves you the process of filtering.

However, it is undeniable that there are some companies that operate in violation of regulations, which has an impact on the security of our personal information and personal life.

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