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题名: A real-time cardiac arrhythmia classification system with wearable electrocardiogram
作者: Liang W(梁炜) ; Sheng Hu ; Shao ZZ(邵振洲) ; Tan JD(谈金东)
作者部门: 工业信息学研究室
会议名称: 2011 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER 2011)
会议日期: March 20-23, 2011
会议地点: Kunming, China
会议录: Proceedings of the 2011 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER 2011)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2011
页码: 102-106
收录类别: EI
ISBN号: 978-1-61284-910-2
关键词: Wearable ECG ; Cardiac Arrhythmia Classification ; Hidden Markov Model
摘要: Long term continuous monitoring of electrocardiogram (ECG) in a free living environment provides valuable information for the prevention on the heart attack and other high risk diseases. Most of the existing devices provide ECG recording in a hospital setting or off-line ECG diagnosis. The design of a real-time wearable ECG monitoring device with cardiac arrhythmia classification system is discussed in this paper. In this system, the wearable sensor node monitors the patient's ECG and motion signal in an unobstructive way that the patient's daily life will not be affected. ECG analog front-end and on-node processing are designed to remove most of the noise and bias, which guarantees an clean and reliable ECG waveform. The ECG waveform is digitalized by an analog-to-digital convertor and transmitted to a smart phone via bluetooth. On the smartphone, the ECG waveform is visualized and a novel layered hidden Markov model is implemented to classify multiple cardiac arrhythmias in real time. This paper evaluates the performance of the hardware design and the classification algorithm.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8312
Appears in Collections:工业信息学研究室_会议论文

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