Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(741 bytes)
E03196 12 500 5000
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22270 0 I
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -58 8075 0 II
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -9 29599 0 III
E03196.mat 16x1+24 1000.0(0)/mV 16 0 53 -25769 0 aVR
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -19 7104 0 aVL
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -34 19004 0 aVF
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -165 7630 0 V1
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -146 17588 0 V2
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -107 -30927 0 V3
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4905 0 V4
E03196.mat 16x1+24 1000.0(0)/mV 16 0 -58 10488 0 V5
E03196.mat 16x1+24 1000.0(0)/mV 16 0 107 18079 0 V6
# Age: 79
# Sex: Male
# Dx: 59118001,270492004,39732003,426177001
# Rx: Unknown
# Hx: Unknown