ࡱ > bjbj 2 cc2 " " i i i i i } } } 8 T } ? 0 3" " 4 # > > > > > > > $ A D T ? ] i 1# 3" 3" 1# 1# ? i i H `? 30 30 30 1# B i i > 30 1# > 30 30 : 3 , {4 'K s* 4 > v? 0 ? )4 R D 9/ E {4 {4 D E $ i q6 X 1# 1# 30 1# 1# 1# 1# 1# ? ? 30 1# 1# 1# ? 1# 1# 1# 1# E 1# 1# 1# 1# 1# 1# 1# 1# 1# " / : WNA D 8 2 3 2 v_5u[evKmSRg|~ H V~ hT Nwmt]'Yf[ ;SuhVhNߘTf[b Nwm 2 0 0 0 9 3 Xd:NNeO[`_5uOSۏL[evKm[s[_uuvSe2Sʋe)R(u N>kWNA T m e g a 3 2 8 p _c6RhVvA r d u i n o _Sg0 NWW_5uvKmMRz!jWWA D 8 2 3 2 S NMO:goNL a b V I E W _SQ NWY_5u[evKm|~v^)R(uL a b V I E W QYyoNnlelegb6R_5uOS-NvjVX01uN_5uOSveyr'`cOS f`_;mRR`L:NvOo`|~؏SbWNL a b V I E W QvYy(uN_5uOS[eRgvz^OՋ_5uOS@bS+Tvutyr'`YSe0WRgQeg0)R(u@b _Sv_5u[evKmRg|~[Ջv_5uOSۏLǑƖTRgSs|~Y^8^upOe0Qnx0WhKm_5uOSv^[OSjVX g@w_}Yvb6RR0dkY|~Y[OSۏLT_v[eRgNRg~gS`YЏ(uN4N^ʋe0)R(u|~[_5uOSۏL[eǑƖTRgvQKmϑ~gQnx0SjVHego}Y0Rg~gS`:NNT_5u[evKmRg|~vcONPt0 sQ.͋_5uOS [evKm[eRgoNnl D e v e l o p m e n t o f a R e a l - t i m e E C G M o n i t o r i n g a n d A n a l y s i s S y s t e m b a s e d o n A D 8 2 3 2 C H E N J i a - x u , Z H O U Y i n g S c h o o l o f M e d i c a l I n s t r u m e n t a n d F o o d E n g i n e e r i n g U n i v e r s i t y o f S h a n g h a i f o r S c i e n c e a n d T e c h n o l o g y S h a n g h a i 2 0 0 0 9 3 Abstract: This paper presents a low-cost, precise and reliable real-time ECG monitoring and analysis system for the real-time ECG signals acquisition to realize the prediction and diagnosis of heart diseases. This system is designed by using a signal disposal module AD8232, an Arduino UNO board based on ATmega328p microcontroller and the PC software LabVIEW. The windowed FIR filter and wavelet denoise module are designed for the preprocess of the extracted signals. Since time and frequency characteristics of the ECG signals can provide information on the dynamic behavior of the patient's heart activity, a variety of programs used for ECG signal analysis are designed, such as the Spectrum Analysis and Heart Rate Variability (HRV) analysis. The developed system is able to conduct real-time analysis on the measured ECG signals. The physiological characteristics contained in the ECG signals of patients can be measured accurately and the interference signals can be filtered very well. This system can also perform various kinds of analysis and the analysis results are reliable enough to be used in the clinical diagnosis. Being able to measure and analyze signals accurately and filter the noise well, this ECG real-time measuring and analysis system is of great values for the future development of ECG monitors. Key Words: ECG signals; real-time monitoring; real-time analysis; software filter _ NSO_~ހNuv_5u;mRSNǏhTVv[5u~~ O[0RSOhvNUOMOVdk\5ugGr>enNSOhg*NMO1\SNhKm0RYv5uMOSS0ǏU_k*N_RhTgQ1u_uir5uMOSS_wv$N*N5ugv5uMO]eSSvlb_1\SN~6RQ_5uV [ 1 ] 0_5uOSSNS f_S_cvz^NS_?b0_[vR~g`Q_N[Ty__1Y8^0_['Y0_h{k0_:@I{uuhgwQ g͑vSN