Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
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E00194 12 500 5000
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -73 6653 0 I
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -126 -8768 0 II
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -53 -15353 0 III
E00194.mat 16x1+24 1000.0(0)/mV 16 0 100 1195 0 aVR
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -9 11200 0 aVL
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -90 -12106 0 aVF
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -63 -22481 0 V1
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -141 -15953 0 V2
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -209 18115 0 V3
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -165 -29527 0 V4
E00194.mat 16x1+24 1000.0(0)/mV 16 0 -165 7431 0 V5
E00194.mat 16x1+24 1000.0(0)/mV 16 0 97 21722 0 V6
# Age: 74
# Sex: Male
# Dx: 713426002,164889003,425419005,164934002,426627000
# Rx: Unknown
# Hx: Unknown