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

File: <base>/training/georgia/g4/E03785.hea (725 bytes) 
E03785 12 500 5000
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -73 -6266 0 I
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -82 29313 0 II
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30208 0 III
E03785.mat 16x1+24 1000.0(0)/mV 16 0 78 20979 0 aVR
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -31 11994 0 aVL
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -46 32263 0 aVF
E03785.mat 16x1+24 1000.0(0)/mV 16 0 58 -30351 0 V1
E03785.mat 16x1+24 1000.0(0)/mV 16 0 2049 -21482 0 V2
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -73 6457 0 V3
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -48 -17880 0 V4
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -73 -15213 0 V5
E03785.mat 16x1+24 1000.0(0)/mV 16 0 -102 -6798 0 V6
# Age: 42
# Sex: Male
# Dx: 426434006,164934002
# Rx: Unknown
# Hx: Unknown