Body Sensor Network Based Context Aware QRS Detection
作者： Huaming Li , Jindong Tan
DOI: 10.1109/IEMBS.2006.260253
关键词: Accelerometer 、 Telemetry 、 Detector 、 Context (language use) 、 Signal 、 Wireless sensor network 、 Pattern recognition 、 Artificial intelligence 、 Engineering 、 Noise 、 Real-time computing 、 QRS complex
摘要: In this paper, a body sensor network (BSN) based context aware QRS detection scheme is proposed. The algorithm uses the information provided by to improve performance dynamically selecting leads with best SNR and taking advantage of features two complementary algorithms. accelerometer data from BSN are used classify patients' daily activity provide information. classification results indicate both type activities their corresponding intensity, which related signal/noise ratio ECG recordings. Activity intensity first fed lead selector eliminate low SNR, then for proper detector according noise level. MIT-BIH stress test database evaluate
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