A method for detecting arrhythmia using a RR interval from ECG data in U-Health system
作者： Jaein Kim , Miyoung Kang , Buhyun Hwang
关键词:
摘要: People treated under the U-Health system are potential patients, and their condition is generally not critical, so most of vital sign data normal. Therefore, it more efficient if sensors attached to them send only abnormal selectively without sending all data. In this paper, we propose an arrhythmia detection method in which ECG detect RR interval The proposed can reduce transmission cost energy consumption sensors. processing a server, simultaneously processes from many be minimized. We confirmed accuracy our experimentally by using MIT-BIH Arrhythmia Database as source for also demonstrated efficiency experimentally.
acm.org
sci-hub.se 参考文章(7)
Wan-Young Chung, Chiew-Lian Yau, Kwang-Sig Shin, Risto Myllyla, A Cell Phone Based Health Monitoring System with Self Analysis Processor using Wireless Sensor Network Technology international conference of the ieee engineering in medicine and biology society. ,vol. 2007, pp. 3705- 3708 ,(2007) , 10.1109/IEMBS.2007.4353136
X. Chen, C.T. Ho, E.T. Lim, T.Z. Kyaw, Cellular phone based online ECG processing for ambulatory and continuous detection computing in cardiology conference. pp. 653- 656 ,(2007) , 10.1109/CIC.2007.4745570
Tae-Soo Lee, Joo-Hyun Hong, Myeong-Chan Cho, Biomedical Digital Assistant for Ubiquitous Healthcare international conference of the ieee engineering in medicine and biology society. ,vol. 2007, pp. 1790- 1793 ,(2007) , 10.1109/IEMBS.2007.4352659
F. Gouaux, L. Simon-Chautemps, J. Fayn, S. Adami, M. Arzi, D. Assanelli, M.C. Forlini, C. Malossi, A. Martinez, J. Placide, G.L. Ziliani, P. Rubel, Ambient intelligence and pervasive systems for the monitoring of citizens at cardiac risk: New solutions from the EPI-MEDICS project computing in cardiology conference. pp. 289- 292 ,(2002) , 10.1109/CIC.2002.1166765
Zhanpeng Jin, Yuwen Sun, A.C. Cheng, Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone international conference of the ieee engineering in medicine and biology society. ,vol. 2009, pp. 6889- 6892 ,(2009) , 10.1109/IEMBS.2009.5333610
JM Cano-Garcia, E Gonzalez-Parada, V Alarcon-Collantes, E Casilari-Perez, None, A PDA-based portable wireless ECG monitor for medical personal area networks mediterranean electrotechnical conference. pp. 713- 716 ,(2006) , 10.1109/MELCON.2006.1653199
R. Gonzalez, D. Jimenez, O. Vargas, WalkECG: a mobile cardiac care device computing in cardiology conference. pp. 371- 374 ,(2005) , 10.1109/CIC.2005.1588114