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1.
Artículo en Chino | WPRIM | ID: wpr-659537

RESUMEN

Objective To develop an ECG monitoring and management system based on the smartphone platform to transmit ECG data to the doctor in daily life or working environment.Methods The system was composed of an ECG signal acquisition device and a smartphone App.The ECG signal acquisition device used MSP430F149 microcontroller as the core unit,which executed ECG signal extraction by adopting right leg drive,active filters,dual instrumentation amplifier and moving average algorithm,applied differential threshold method to accurately detecting R wave,calculated heart rate and then sent ECG data to the smartphone through Bluetooth 4.0 module.The smartphone App was developed based on cross-platform mobile development framework Cordova,and used Cordova plugins,JavaScript,HTML5 and CSS to receive the data from the acquisition device,draw and store ECG,show heart rate and remind abnormalities in heart rate as well as to transmit ECG data to the doctor through the mobile medicine App and social App.Then the doctor provided advices on prevention,treatment and etc after analyzing the received data.Results Compared with the ECG machine,the system had the relative errors of heart rate,P duration,QRS duration and QT duration being 2.7%,4.5%,4.3% and 3.3% respectively.All the above four parameters having significant correlations,and the correlation parameters were 0.955,0.948,0.91 and 0.834 respectively (P<0.05).The system had 8-h endurance in case of being fully charged.Concluslon The system gains advantages in power consumption,accuracy,noise,cost,volume,weight,safety,reliability as well as easy operation and maintenance,and facilitates the ECG conditions to be mastered timely by the doctor.

2.
Artículo en Chino | WPRIM | ID: wpr-662183

RESUMEN

Objective To develop an ECG monitoring and management system based on the smartphone platform to transmit ECG data to the doctor in daily life or working environment.Methods The system was composed of an ECG signal acquisition device and a smartphone App.The ECG signal acquisition device used MSP430F149 microcontroller as the core unit,which executed ECG signal extraction by adopting right leg drive,active filters,dual instrumentation amplifier and moving average algorithm,applied differential threshold method to accurately detecting R wave,calculated heart rate and then sent ECG data to the smartphone through Bluetooth 4.0 module.The smartphone App was developed based on cross-platform mobile development framework Cordova,and used Cordova plugins,JavaScript,HTML5 and CSS to receive the data from the acquisition device,draw and store ECG,show heart rate and remind abnormalities in heart rate as well as to transmit ECG data to the doctor through the mobile medicine App and social App.Then the doctor provided advices on prevention,treatment and etc after analyzing the received data.Results Compared with the ECG machine,the system had the relative errors of heart rate,P duration,QRS duration and QT duration being 2.7%,4.5%,4.3% and 3.3% respectively.All the above four parameters having significant correlations,and the correlation parameters were 0.955,0.948,0.91 and 0.834 respectively (P<0.05).The system had 8-h endurance in case of being fully charged.Concluslon The system gains advantages in power consumption,accuracy,noise,cost,volume,weight,safety,reliability as well as easy operation and maintenance,and facilitates the ECG conditions to be mastered timely by the doctor.

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