Targeting wearable devices, a big data medical dream for Chinese entrepreneurs

Titanium Media Note: A few days ago, the first domestic based on Baidu Cloud wearable hand ring equipment thump hand ring exposure. Abroad, manufacturers such as Jawbone and Nike have already cut into wearable equipment from personal health management. The Giants of different fields are starting to play, and this is the next blue ocean in consumer electronics, which is tied to big data technology.

Large data is a hot topic in the field of information technology in recent years, and the health condition of the people is gradually heating up in the U.S. medical industry by using large data. Wearable, large data, health, the three look so close, but far from our vision of the future. There are more and more dreamers in this field in China. What are the remaining unresolved issues in this area? How do they combine to release value? How to make the big data medical based on wearable equipment better "landed" in China?

The following is an exclusive contribution to the titanium media by an entrepreneur interested in large data medical. The article describes the industry status and future problems of wearable equipment, and the next chapter looks forward to the future of this field. Titanium Media will be edited in full text as follows:

These two days, jawbone to 100 million U.S. dollars to buy the bodymedia of the news to the market is full of anticipation, everyone seems to see the ordinary people using wearable equipment can manage their health away from the hospital era has come. There are 100 BodyMedia fit between wearable devices and people managing their health, which is a long way off.

This paper analyzes how health management can be activated after 5-10 years from different angles of wearable equipment, large data and user usage. The whole article is divided into two parts, the last one is mainly to describe the current exciting market prospects and the gap between the current situation, the next chapter is mainly about the way we can break through the chasm, to form a "discovery-disposition-assessment" closed-loop service outside the hospital, so that people can find the "not ill" in the bud through self-management, According to their own unique physical signs rhythm, personalized rehabilitation program, and periodic evaluation and program fine-tuning to the "not sick" shut out.

Ideal fullness, realistic bone feeling

Market conditions

The topic of mobile medicine and mobile health is getting hotter this year, many companies have entered the field for two reasons: one is that the industry is very large, in China, medical services are about 23 trillion yuan in size, accounting for 5% to 6% of GDP, around the United States is the scale of 23 trillion U.S. dollars, Accounting for about 17% of GDP in the United States, followed by the internet and mobile internet has a relatively small impact on existing industries, there is a larger breakthrough space.

With the high cost of medical services, from government, social security, insurance companies and individuals will become increasingly difficult to bear, and China gradually into an aging society, health management areas should be in 5-10 years from now 2000.3 trillion yuan market growth into a close or even beyond the medical services market scale.

In China the family structure is inverted pyramid structure of 4-2-1, a young couple to support 4 elderly people, the following to raise a child, any sudden health changes will bring unbearable money and time and energy loss, so we will pay more and more attention to health management-related products and services.

Mobile medical field because of China's institutional constraints, information and data sharing is difficult to achieve breakthroughs, so many technical areas of the results in reality is difficult to promote, which allows more people to look to the front end of medical services market: health Management. In particular, the news that the 100 million-dollar fund was raised by the ambassador in mid-April has made the field a focus of attention.

The most important problem to be solved in health management is to find out the health abnormality and warning of major disease risk in time. Under the traditional circumstances, we will pass the annual physical examination to achieve this requirement, but the physical examination time span, at the same time the region's coverage capacity is not enough, people have to look to the wearable equipment, Hope to be able to pass such equipment to realize the physical abnormalities of large people across the region real-time discovery.

There are two main categories of health-related wearable sensors in the market:

One is in vitro data collection, mainly through the three-dimensional motion sensor with g-sensor or GPS to obtain movement status, distance and amount of exercise to help users to exercise and sleep management, At the same time, to help users introduce the concept of social platform to enable users to measure and contrast data to promote the continuous generation of user behavior changes in the user's health, and in the back-end service field to introduce professional sports and sleep laboratory data analysis model to the individual's movement and sleep improvement to provide fee advice. Foreign Fitbit,jawbone,nike is the leader in this field.

The problems faced by this type of equipment can only meet the needs of the users, and motivate users to improve their physical condition by exercising and other preventive actions, but they cannot find out the abnormal health condition and make risk warning.

The second is to help users manage important physiological activities by monitoring physical signs such as heart rate, pulse rate, respiration frequency, body temperature, heat consumption, blood pressure, blood glucose and oxygen, hormones and BMI, and body fat content. The physical signs and data sensors available at this stage include: 1, temperature sensor, 2, heat flux sensor, used to monitor the heat consumption ability, can be used for blood glucose-assisted calculation and metabolic ability calculation, 3, weight measurement sensors for the calculation of BMI, 4, pulse wave sensors, blood pressure, pulse rate and other data; Biosensors can be used for ECG and EEG data collection, and also for the calculation of fat content, 6, optical sensor, calculate blood oxygen content, blood flow rate;

The results of these numerical crossover analysis can be used to analyze the user's current physical condition, the main health risk assessment, and combining data can give several key physiological activities: Sleep, diet, exercise and medication personalized improvement recommendations, so that users maintain a stable health status.

Why isn't there a big company?

But there are no big companies in this area for several reasons:

1, the physical signs data is difficult to collect, blood pressure and blood sugar at this stage is to use a creative or inductive way of data collection, although no invasive collection has theoretical basis, but only indirect way to calculate approximate numerical simulation, and equipment costs high;

2, user detection time random and arbitrary data noise, the biggest problem is the user spontaneous detection can not be excluded from the data interference caused by unexpected factors, such as: sports, emotions, medication, sleep conditions and even the impact of abnormal weather changes. These data can not respond to the real situation of user signs, will form a data noise.

3, equipment detection accuracy problem, the detection accuracy of household equipment and medical grade equipment to achieve the same precision, large amount of data at the same time detection accuracy is not enough, the doctor is unwilling to devote energy analysis, is the data value reduction.

4, the lack of disposal services and means, although the data showed the physical signs of each individual, but the lack of corresponding personalized disposal scheme, but also reduced the value of data.

5. Lack of dynamic evaluation mechanism of physical sign data can not detect the anomaly in advance.

6, the lack of authoritative professional body analysis and judgment, can not urge users in the absence of signs feel difficult to pay attention to data and constantly change their habits and laws to prevent.

7, the equipment collection frequency and the power, data transmission, the analysis ability contradiction, the high data acquisition density, the analysis value is higher, but the power consumption and the data redundancy greatly increases, the data acquisition density is low and reduces the abnormal condition the sensitivity.

The problem is that there are plenty of places where the experience of mobile internet entrepreneurs is not covered. In fact, before this wave, remote sign detection equipment has been a round of rise and fall, is also based on the same reasons. The new concept of wearable devices also faces the challenge of solving them.

In the next chapter we will focus on how to continue to collect data through wearable equipment, combined with large data analysis and prediction to effectively solve the problems raised above, I personally think that the development path of these years must be:

1, the sensor miniaturization, integration, let the sign detection equipment collection data users no impact, do not hinder the daily life habits of users;

2, the physical signs data can be continuously collected and transmitted, at the same time through two-way intelligent regulation of acquisition frequency, to solve the power consumption and data redundancy problems;

3, the physical signs of continuous data analysis, the user through the longitudinal of their own data to understand the health changes in the situation, through the horizontal large population data comparison to the medium and long term abnormal early warning of risk, at the same time to obtain personalized disposal program;

4, the combination of different data analysis ability, can not only improve the sensitivity of abnormal conditions, but also improve the accuracy of analysis. And the judgment of the human condition is more intelligent, the situation that needs manual intervention is less and fewer.

(Responsible editor: The good of the Legacy)