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

File: <base>/training/georgia/g1/E00398.hea (718 bytes) 
E00398 12 500 5000
E00398.mat 16x1+24 1000.0(0)/mV 16 0 -29 23431 0 I
E00398.mat 16x1+24 1000.0(0)/mV 16 0 -600 20784 0 II
E00398.mat 16x1+24 1000.0(0)/mV 16 0 -570 -2967 0 III
E00398.mat 16x1+24 1000.0(0)/mV 16 0 314 -22357 0 aVR
E00398.mat 16x1+24 1000.0(0)/mV 16 0 270 13352 0 aVL
E00398.mat 16x1+24 1000.0(0)/mV 16 0 -585 8856 0 aVF
E00398.mat 16x1+24 1000.0(0)/mV 16 0 307 12644 0 V1
E00398.mat 16x1+24 1000.0(0)/mV 16 0 146 6800 0 V2
E00398.mat 16x1+24 1000.0(0)/mV 16 0 126 22221 0 V3
E00398.mat 16x1+24 1000.0(0)/mV 16 0 126 12794 0 V4
E00398.mat 16x1+24 1000.0(0)/mV 16 0 141 -28029 0 V5
E00398.mat 16x1+24 1000.0(0)/mV 16 0 268 -30090 0 V6
# Age: 82
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown