Research And Design Of The Smart Wearable Bracelet

Along with the social aging problem,people is becoming more and more attention to the health of the elderly,to monitor the elderly daily movement posture and physiological information,assess the health of the elderly,has important social significance.Wearable technology is applied to the health care of the elderly,and the physiological signals of physiological signals are obtained under low physiological load.It has been a hot point in the research field of medical care.To develop a new type of can real-time monitor the body motion,convenient real-time detection of the human body heart rate parameters,and parameters can be transmitted to the mobile,server for later queries in the elderly daily health monitoring,patient rehabilitation therapy has significant practical value.This thesis combines wearable technology,signal processing technology,bluetooth communication technology,LIS3DH accelerometer,heart rate sensor AS7000,bluetooth chip CY10573,smart phone and back-end server to build the software and hardware of wearable smart bracelet.Due to the human body heart rate under different gestures,such as walking,running,static under heart rate value differences,so for the heart rate at first,this paper studies how to identify the body of the current gesture to assist heart rate value,and the human body under the different attitude of acceleration feedback is different,so this system by identifying the different performance of acceleration value,to determine the different attitude of human body.When all the data obtained,we need to upload data,analysis of the secondary management to achieve the health of human body,so this article discusses the present mainstream communication ways,after comprehensive comparison with bluetooth transmission mode of low power consumption,low cost,the advantages of small volume,this research uses bluetooth as communications and upload data to the mobile phone APP to upload to analyze the secondary side.Through the experimental research results show that the device can accurately the implementation of the human body motion monitoring including sleep posture detection,walking or running status detection,fall,and the human body heart rate monitoring parameters,error of measurement value of heart rate parameters within the plus or minus 2 times,through the monitoring of these important parameters,can offer significant help for the daily health care of old people.