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

File: <base>/training/georgia/g4/E03435.hea (734 bytes) 
E03435 12 500 5000
E03435.mat 16x1+24 1000.0(0)/mV 16 0 458 -23321 0 I
E03435.mat 16x1+24 1000.0(0)/mV 16 0 312 -6181 0 II
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -146 17102 0 III
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -385 14796 0 aVR
E03435.mat 16x1+24 1000.0(0)/mV 16 0 302 -19980 0 aVL
E03435.mat 16x1+24 1000.0(0)/mV 16 0 82 5681 0 aVF
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -517 -18307 0 V1
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -1102 -10343 0 V2
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -810 -17816 0 V3
E03435.mat 16x1+24 1000.0(0)/mV 16 0 -224 16018 0 V4
E03435.mat 16x1+24 1000.0(0)/mV 16 0 126 -27094 0 V5
E03435.mat 16x1+24 1000.0(0)/mV 16 0 527 -16394 0 V6
# Age: 69
# Sex: Male
# Dx: 428750005,270492004
# Rx: Unknown
# Hx: Unknown