Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
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E09678 12 500 5000
E09678.mat 16x1+24 1000.0(0)/mV 16 0 68 -6261 0 I
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -9 2832 0 II
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -78 9193 0 III
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -29 1717 0 aVR
E09678.mat 16x1+24 1000.0(0)/mV 16 0 73 -7481 0 aVL
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -43 6040 0 aVF
E09678.mat 16x1+24 1000.0(0)/mV 16 0 48 14240 0 V1
E09678.mat 16x1+24 1000.0(0)/mV 16 0 68 8332 0 V2
E09678.mat 16x1+24 1000.0(0)/mV 16 0 0 5287 0 V3
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27444 0 V4
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -48 1954 0 V5
E09678.mat 16x1+24 1000.0(0)/mV 16 0 -39 -8728 0 V6
# Age: 65
# Sex: Male
# Dx: 428750005,59931005
# Rx: Unknown
# Hx: Unknown