Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(729 bytes)
E02003 12 500 5000
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12062 0 I
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -156 -14397 0 II
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -126 -2027 0 III
E02003.mat 16x1+24 1000.0(0)/mV 16 0 92 -19528 0 aVR
E02003.mat 16x1+24 1000.0(0)/mV 16 0 48 -5278 0 aVL
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -141 24534 0 aVF
E02003.mat 16x1+24 1000.0(0)/mV 16 0 39 26988 0 V1
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -48 -21372 0 V2
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -97 31041 0 V3
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -175 26953 0 V4
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -224 11622 0 V5
E02003.mat 16x1+24 1000.0(0)/mV 16 0 -58 -16271 0 V6
# Age: 76
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown