Title :
Design of a Novel Portable ECG Monitor for Heart Health
Author :
Jun Liu ; Yaqi Zhou
Author_Institution :
Key Lab. of Biomed. Eng. of Minist. of Educ., Zhejiang Univ., Hangzhou, China
Abstract :
Using the ECG analog front-end and ARM Cortex-M3 processor to develop a portable ECG monitor. The STM32 as the core unit, the ADS1292 as the acquisition analog front-end, it also includes a touch screen display module, an SD card storage module and a voltage conversion module. Automatic ECG analysis algorithms including QRS complex detection, QRS width detection and ST segment detection. ECG can be divided into four kinds of heart beat and eight kinds of arrhythmia rhythm using the extracted ECG parameters. The results have been evaluated on the MIT-BIH Arrhythmia Database, the sensitivity of QRS complex detection was 99% and the sensitivity of heart beat classification was above 95%. The monitor can display the real-time ECG waveform and the current heart rate, to make recommendations for the subjects, and it stored the abnormal ECG waveform that provided to physicians for further analysis and diagnosis. Ultimately the monitor gives a composite score based on heart rate, arrhythmia and ST segment to facilitate subjects for heart health.
Keywords :
biomedical equipment; diseases; electrocardiography; feature extraction; medical signal processing; patient monitoring; portable instruments; sensitivity; signal classification; waveform analysis; ADS1292; ARM Cortex-M3 processor; ECG analog front-end; MIT-BIH arrhythmia database; QRS complex detection; QRS width detection; SD card storage module; ST segment detection; STM32; abnormal ECG waveform; acquisition analog front-end; arrhythmia rhythm; automatic ECG analysis algorithms; composite score; current heart rate; diagnosis; extracted ECG parameters; heart beat classification; heart health; heart rate; novel portable ECG monitor design; physicians; real-time ECG waveform; sensitivity; touchscreen display module; voltage conversion module; Algorithm design and analysis; Biomedical monitoring; Electrocardiography; Heart; Interference; Monitoring; Noise; ECG analysis; ECG monitor; heart health index; real-time;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.178