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    Home > Medical News > Latest Medical News > Huami Technology releases a heart health blue book: Men have a higher cardiovascular risk.

    Huami Technology releases a heart health blue book: Men have a higher cardiovascular risk.

    • Last Update: 2020-08-07
    • Source: Internet
    • Author: User
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    Guide: The number of cardiovascular patients in China is about 290 million, resulting in the death rate accounting for more than 40% of the deaths of diseases in the population, far higher than tumors and other diseases, ranking first.
    The prevalence and mortality rate of cardiovascular diseases in China is still on the rise, according to the China Cardiovascular Disease Report 2017 statistics, the number of cardiovascular patients in China is about 290 million, resulting in mortality accounted for more than 40% of the deaths of diseases in the population, far higher than tumors and other diseases, ranking first.
    cardiovascular disease has become a major public health problem.
    , Huami Technology (NYSE: HMI) has joined forces with Peking University's First Hospital to launch the 2020 Blue Book on Heart Health for Wearables (the "Blue Book").
    Huami Technology is a cloud-based health service provider with the world's leading smart wearable technology and massive amount of health big data, with a mission of "technology connecting health", and the first hospital in Beijing University has a 100-year history of cardiovascular disease research.
    conducted research based on Huami Technology Health Big Data to show the current state of heart health, cardiovascular disease risk and future trends from a professional perspective.
    smart wearables can help people continuously monitor multi-dimensional health data such as heart rate, electrocardiogram, sleep, exercise, etc. over time, and have important reference value for health risk assessment.
    data show that the current public acceptance of smart wearable devices has been high, the average wearing time of active users for more than 15 hours, the older the older the average wearing time is longer, of which the average wearing time of over 60 people more than 17 hours, and electrocardiogram data measurement frequency with age, some people use smart wearable devices to monitor heart health has become a part of daily life.
    Blue Book conducted cardiovascular risk assessments for users who recorded relevant information based on the 2008 WHO Guidelines for Cardiovascular Disease Prevention-Cardiovascular Risk Assessment and Management.
    analysis shows that among these people, Guangdong, Hainan and Guizhou provinces have the largest proportion of cardiovascular disease risk groups.
    study also found that the proportion of cardiovascular risk increased with age, and that men had a higher cardiovascular risk than women, with a highcardiovascular risk ratio of 6.86 percent among men over 60 years of age.
    heart rate variability (HRV) refers to the change of the difference in the heartbeat cycle, popularly speaking, the change of heart rate is fast and slow, often used to predict sudden cardiac death and arrhythmia, can judge cardiovascular disease and prevention.
    heart rate variability is usually measured by SDNN values (i.e., standard deviations in time intervals between cardiac attacks), which reduce SDNn values to indicate a higher cardiovascular risk.
    data collected from heart rate sensors in smart wearable devices can calculate SDNN values, data analysis found that with the increase of the subject's BMI (body mass index), heart rate variability SDNN value will gradually decrease, while the obese people have the lowest heart rate variability, it can be seen that obesity and overweight are important factors in heart health.
    sleep quality is also important for cardiovascular health.
    big data analysis found that people with higher sleep scores and better sleep quality had a lower nighttime average heart rate.
    previous studies have also shown that the lower the cardiovascular risk of nighttime sleep and the lower the risk of death compared to their peers, and that maintaining good sleep habits is good for heart health.
    atrial fibrillation is one of the most common arrhythmia, its greatest harm is to lead to stroke and heart failure, and has a high disability and high recurrence, but early atrial fibrillation is usually burst or asymptomatic, difficult to capture, and wearable devices can carry out continuous testing of heart rate, the detection of abnormalities can also be a reminder, can help people early detection of atrial fibrillation, prevent stroke or heart failure.
    Blue Book shows that in all ages, suspected atrial fibrillation population is sedentary longer than normal population, suspected atrial fibrillation screening rate is higher than women in all ages, and suspected atrial fibrillation rate increases with age, which is consistent with the trend of increased atrial fibrillation prevalence with age;
    it is understood that heart health has been the focus of Huami Technology focus, as of March 2020, Huami Technology RealBeats ™ algorithm analyzed 14.5 million electrocardiogram data, of which more than 4,000 suspected atrial fibrillation users were found.
    in 2019, Huami Technologies launched its own RealBeats ™ Health Data Engine, which enables automatic screening of non-⻬ heart rhythms by analyzing PPG optical heart rate data and ECG electrocardiogram data.
    , Huami Technology has completed with Peking University First Hospital, intelligent bracelet monitoring atrial fibrillation clinical medical research, equipped with RealBeats ™ intelligent bracelet PPG and ECG function to determine atrial fibrillation accuracy reached 93.27 percent and 94.76 percent, respectively, the results of the research has been published by the well-known American cardiology journal Heart Rhythm.
    June this year, Huami Technologies launched the second-generation heart data AI bioengine RealBeats ™2, which effectively eliminates noise interference with heart rate signals during exercise, and effective atrial fibrillation monitoring time at night and day time reached 1.87 times and 6.64 times, respectively, in the previous generation. In addition,
    , through the establishment of a big data model of heart health, but also successfully achieved the folding tachycardia and ventricular frequency of early fighting AI automatic screening.
    during the New Crown outbreak, Huami Technology through health big data and combined with seasonal, holiday, weather and other factors, set up a set of epidemiological trend prediction model, and a good prediction of The development curve of Spain, Italy and other countries, the results in the SCI academic journal Sydsin Society Nature andy officially published, but also proved that in epidemiological early warning and public health management, intelligent wearable devices health monitoring capabilities can play an important role.
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