To say that this year's hottest concept, then non-wearable devices are correct, the international giants Google, Qualcomm, Samsung's lead, coupled with domestic Huawei, ZTE, shell electronics and other manufacturers to cut through, so that the entire wearable market developed The critical point of the touch. In the upcoming 2014 MWC, manufacturers around the world are full of energy and are ready to showcase their wearable devices on this electronic event.
Why is a small wearable device attracting the attention of global manufacturers? The broad market prospects are a strong shot.
According to the estimated market demand for wearable devices in 2014, it will reach 50 billion US dollars. In 2015, China's wearable device market will reach 11.49 billion yuan. The ABI released the 2014 Wearables Market Report detailing seven major categories of wearable device shipments, including: wearable cameras, smart glasses, smart watches, wearable medical health devices, activity trackers, 3D actions Trackers, as well as smart clothing (see Figure 1 for specific predictions), shipments of smart wearable products will reach 90 million units a year.
Figure 1
Why do users around the world like these devices that many experts regard as "chicken ribs"? We can see from the above picture: ABI's data shows that in the health care side will be the most important part of the development of wearable devices, we will analyze how wearables affect the medical industry.
Medically healthy wearable devices, as a high-tech product, have high-precision data acquisition, processing and transfer capabilities. Let's take a closer look at how wearables collect high-precision data.
Figure II
There are two main types of wearable sensors related to medical health on the market today:
One is in vitro data acquisition, mainly through three-dimensional motion sensors with G-sensor or GPS to obtain motion status, distance and amount of exercise.
The second is to help users manage important physiological activities through monitoring of vital signs (such as heart rate, pulse rate, respiratory rate, body temperature, heat consumption, blood pressure, blood sugar and blood oxygen, hormones and BMI index, body fat content).
The physical data sensors that can be utilized at this stage include: 1. a body temperature sensor; 2. a heat flux sensor for monitoring calorie expenditure, which can be used for blood glucose assisted calculation and metabolic capacity estimation; 3. weight measurement sensor for calculation BMI index; 4, pulse wave sensor, calculate blood pressure, pulse rate and other data; 5, bioelectric sensor, can be used for ECG, EEG data collection, can also be used to calculate fat content; 6, optical sensor, calculate blood oxygen content , blood flow rate.
In these two ways, the data of each different individual is collected and integrated into a large database. This is the popular "big data" concept of the past few years. How does the amount of data generated to apply to people to "propose" suggestions?
Figure III
The first aspect of wearable devices in health care applications is monitoring the health of users. According to UN data, compared with one in every 10 people in 2000 compared to 60 in 2000, every 5 in 2050 One in the individual is over 60 years old. Chronic diseases that need to be monitored include high blood pressure, late-onset diabetes, heart disease, and the main patient is the elderly. This means that the demand for equipment for the health management of chronically ill households will continue to grow.
And after collecting a lot of data, we can know the health of everyone. In China, for example, in a population of more than one billion, if we have 200 million people using wearable devices, we can collect the data and predict the health of the entire Chinese generation or the next generation. Affects changes in our health, diet, lifestyle and other directions. Analytical guidance on the overall situation is the second aspect of wearable medical health applications. It is also one of the manifestations of wearable devices and big data.
Figure 4
The data analysis mentioned above predicts that this is only the most basic aspect of big data applications. Let's talk about the potential of mining these data deep.
After the wearable device uploads the monitored personal data to the cloud, the user's data is placed in an existing data model for analysis and vertical and horizontal alignment. At the same time, on the mobile APP application, by analyzing all the analysis into a health risk index, the user will see his health risk index and the average risk index of the same age and the same gender each time he logs in, and can identify his health. The risk is ranked in the same age group. At the same time, the device will adjust according to the actual situation of the user. Once the data is abnormal, the detection density will be increased, and vice versa. Advising on personal health and medical care based on the data presented is another manifestation of wearable big data applications and one of the most important aspects of the future.
As for the application in this aspect, attempts have been made in foreign countries.
Recently, Wellpoint, the largest medical insurance company in the United States, has begun to use the IBM supercomputer "Watson" to help doctors diagnose patients' conditions and serve 70 million people. In the case of cancer treatment, it takes a month or more to develop a targeted drug treatment plan, and in the future, Watson's cognitive computing technology can shorten the cycle to one day, greatly improving the cure rate of cancer patients. At the same time, "Watson can help the tumor center to diagnose and analyze several complex cancer diseases in the medical and pharmaceutical industries.
This medical advice based on big data can of course only be used as a reference.
Of course, if the big data of such wearable devices can be combined with the hospital, then this technology can be used more effectively to monitor personal health.
We can achieve dynamic physical examination of some subjects through professional portable monitoring equipment provided by the hospital. After the device receives the information, the doctor can evaluate our physical condition, and our smartphone will act as a data transmission, display, receive physical changes in the doctor's feedback, and timely return some more accurate medical advice. Use smart devices to remind you to take antihypertensive drugs on time, eat on time, alert you to nearby hospitals when abnormal conditions occur, and, in some extreme cases, even provide brief emergency treatment advice.
Therefore, in the long run, the combination of hospitals, data, and equipment can fully reflect the advantages of big data and wearables. The ability of wearables to address the life, data processing, acquisition, transmission, and analysis of computers for this data is key to the development of the entire industry. Of course, the support of the medical industry is the helmsman who leads the development of wearable medical care under big data. This has been tested by foreign hospitals, so let us wait for this day.
——This article is selected from the “Special Focus†section of the February issue of the “Electronic Wearable Technology Special Issue†by the Electronic Enthusiasts Network. Please indicate the source if you reprint it.
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