Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g4/E03909.hea (720 bytes) 
E03909 12 500 5000
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13909 0 I
E03909.mat 16x1+24 1000.0(0)/mV 16 0 87 -20660 0 II
E03909.mat 16x1+24 1000.0(0)/mV 16 0 117 -6151 0 III
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15464 0 aVR
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -73 28681 0 aVL
E03909.mat 16x1+24 1000.0(0)/mV 16 0 102 -13422 0 aVF
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -58 -28656 0 V1
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -29 23401 0 V2
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -244 -25137 0 V3
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -48 2853 0 V4
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -117 -24665 0 V5
E03909.mat 16x1+24 1000.0(0)/mV 16 0 -87 -25667 0 V6
# Age: 49
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown