Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E03324 12 500 5000
E03324.mat 16x1+24 1000.0(0)/mV 16 0 0 557 0 I
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -39 1530 0 II
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -39 1222 0 III
E03324.mat 16x1+24 1000.0(0)/mV 16 0 19 -1130 0 aVR
E03324.mat 16x1+24 1000.0(0)/mV 16 0 19 -181 0 aVL
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -39 1402 0 aVF
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25673 0 V1
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -29 15358 0 V2
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -87 5594 0 V3
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -68 -10515 0 V4
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -9 4575 0 V5
E03324.mat 16x1+24 1000.0(0)/mV 16 0 -175 -17979 0 V6
# Age: 65
# Sex: Male
# Dx: 427084000,164934002
# Rx: Unknown
# Hx: Unknown