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

File: <base>/training/georgia/g1/E00004.hea (733 bytes) 
E00004 12 500 5000
E00004.mat 16x1+24 1000.0(0)/mV 16 0 19 -15417 0 I
E00004.mat 16x1+24 1000.0(0)/mV 16 0 -29 -1024 0 II
E00004.mat 16x1+24 1000.0(0)/mV 16 0 -48 14870 0 III
E00004.mat 16x1+24 1000.0(0)/mV 16 0 4 7928 0 aVR
E00004.mat 16x1+24 1000.0(0)/mV 16 0 34 17587 0 aVL
E00004.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25847 0 aVF
E00004.mat 16x1+24 1000.0(0)/mV 16 0 9 -30941 0 V1
E00004.mat 16x1+24 1000.0(0)/mV 16 0 19 -10611 0 V2
E00004.mat 16x1+24 1000.0(0)/mV 16 0 39 -8878 0 V3
E00004.mat 16x1+24 1000.0(0)/mV 16 0 -9 10926 0 V4
E00004.mat 16x1+24 1000.0(0)/mV 16 0 0 4649 0 V5
E00004.mat 16x1+24 1000.0(0)/mV 16 0 39 -28293 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown