When people measure their blood pressure in the hospital, their nervousness may lead to abnormal blood pressure. In addition, human blood pressure changes at any time. Even if a single measurement can obtain accurate results, it is difficult to reflect the full picture of the operation of the cardiovascular system. At this time, blood pressure smart watches came into being.
As a device for obtaining human health data, smart blood pressure watches have high hopes for application in the medical field, especially in the field of cardiovascular disease.
There are three common detection methods in the field of blood pressure detection: oscillometric detection, optical blood pressure detection, and mercury column sphygmomanometer detection.
The Yanhe Intelligent Team learned through research that the current combination of smart wearable devices and the medical field on the market generally lacks accuracy. Most blood pressure values ??are estimated values ??calculated through optical blood pressure detection methods. , which is very inaccurate when used in the medical field.
To this end, the Yanhe Intelligent team decided to start with medical-grade smart watches and established Yanhe Intelligent (Hangzhou) Technology Co., Ltd. (referred to as: Yanhe Intelligent), positioning itself as a medical-grade physical sign monitoring equipment manufacturer. Provide users with higher reliability of physical sign monitoring data.
Yanhe smart blood pressure watch is the core product of Yanhe Smart. It is the first smart watch in China that integrates air pump blood pressure monitoring system and photoplethysmography technology (PPG).
The Yanhe intelligent air pump blood pressure monitoring system uses medical-grade pressure sensors and uses oscillometric measurement to achieve medical-grade accuracy in blood pressure monitoring. The principle is that there is an inflatable bag on the inside of the watch band, and the user can measure the blood pressure with one click by clicking on the blood pressure measurement button on the display.
With the continuous penetration of new generation information technology in all walks of life, the development of big data and artificial intelligence is in full swing, new intelligent technologies and products are constantly being updated and iterated, and big data analysis and artificial intelligence analysis have become mainstream.
The current Yanhe smart watch can already analyze diseases such as obstructive sleep apnea hypopnea syndrome, sinus tachycardia, arrhythmia, myocardial ischemia, atrial fibrillation, and palpitations through artificial intelligence analysis. We have received feedback and are continuously developing detection functions for more cardiovascular and cerebrovascular diseases.
In terms of blood oxygen monitoring, because reduced hemoglobin and oxyhemoglobin in arterial blood have different absorption characteristics for light of different wavelengths, PPG uses photoelectric sensors to obtain pulse data and combines different light wavelength signals through a series of algorithms. It is decomposed into DC and AC signals, and finally the blood oxygen value is calculated according to the blood oxygen saturation formula to achieve the complementarity of precise monitoring and continuous monitoring.
In addition to blood pressure and blood oxygen functions, Yanhe smart watches also have consumer functions such as exercise data, sleep data, calorie data, and call reminders. Users or authorized relatives and friends can use the app to monitor and evaluate, and can view past historical monitoring data at any time to understand the user's health status and make correct responses to it.
In order to meet users’ needs for multi-dimensional information collection, management and health guidance on life, health and physical signs, Yanhe Intelligence is developing an intelligent personal health and physical sign monitoring and management platform.
Through the accurate multi-dimensional physical sign data generated by Yanhe smart watches, the platform can automatically generate real-time and complete non-sensitive user health files, analyze and mine the potential correlation between medical health data and disease occurrence, and achieve Advance prediction of diseases, especially high-incidence chronic diseases such as hypertension and cardiovascular disease, and prediction of health status trends, and provide personalized health management and diagnosis and treatment plans on this basis.
At the same time, this platform comprehensively evaluates and analyzes the overall health status of different users through the user's health big data files, providing a platform for decision-making and management, guiding health management work, and forming personalized user management. Scientific decision-making basis and data support to achieve timely prevention and treatment of health problems, to achieve the vision of reducing medical costs and improving medical effectiveness.