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

File: <base>/training/georgia/g4/E03992.hea (749 bytes) 
E03992 12 500 5000
E03992.mat 16x1+24 1000.0(0)/mV 16 0 9 -16596 0 I
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -107 -17883 0 II
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -117 -1125 0 III
E03992.mat 16x1+24 1000.0(0)/mV 16 0 48 17232 0 aVR
E03992.mat 16x1+24 1000.0(0)/mV 16 0 63 -7834 0 aVL
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -112 -9469 0 aVF
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -9 7954 0 V1
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -185 9548 0 V2
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25411 0 V3
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -175 22695 0 V4
E03992.mat 16x1+24 1000.0(0)/mV 16 0 68 23458 0 V5
E03992.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29715 0 V6
# Age: 59
# Sex: Male
# Dx: 67741000119109,111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown