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

File: <base>/training/georgia/g1/E00593.hea (707 bytes) 
E00593 12 500 5000
E00593.mat 16x1+24 1000.0(0)/mV 16 0 -68 379 0 I
E00593.mat 16x1+24 1000.0(0)/mV 16 0 29 -16941 0 II
E00593.mat 16x1+24 1000.0(0)/mV 16 0 97 -17161 0 III
E00593.mat 16x1+24 1000.0(0)/mV 16 0 19 8200 0 aVR
E00593.mat 16x1+24 1000.0(0)/mV 16 0 -82 -24154 0 aVL
E00593.mat 16x1+24 1000.0(0)/mV 16 0 63 15560 0 aVF
E00593.mat 16x1+24 1000.0(0)/mV 16 0 263 959 0 V1
E00593.mat 16x1+24 1000.0(0)/mV 16 0 29 -901 0 V2
E00593.mat 16x1+24 1000.0(0)/mV 16 0 48 -671 0 V3
E00593.mat 16x1+24 1000.0(0)/mV 16 0 39 32351 0 V4
E00593.mat 16x1+24 1000.0(0)/mV 16 0 19 168 0 V5
E00593.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2855 0 V6
# Age: 67
# Sex: Male
# Dx: 164889003,164934002
# Rx: Unknown
# Hx: Unknown