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

File: <base>/training/georgia/g5/E04946.hea (739 bytes) 
E04946 12 500 5000
E04946.mat 16x1+24 1000.0(0)/mV 16 0 48 74 0 I
E04946.mat 16x1+24 1000.0(0)/mV 16 0 58 31503 0 II
E04946.mat 16x1+24 1000.0(0)/mV 16 0 9 31523 0 III
E04946.mat 16x1+24 1000.0(0)/mV 16 0 -53 16871 0 aVR
E04946.mat 16x1+24 1000.0(0)/mV 16 0 19 16858 0 aVL
E04946.mat 16x1+24 1000.0(0)/mV 16 0 34 31487 0 aVF
E04946.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7198 0 V1
E04946.mat 16x1+24 1000.0(0)/mV 16 0 19 -11628 0 V2
E04946.mat 16x1+24 1000.0(0)/mV 16 0 -39 26910 0 V3
E04946.mat 16x1+24 1000.0(0)/mV 16 0 68 11380 0 V4
E04946.mat 16x1+24 1000.0(0)/mV 16 0 68 -15077 0 V5
E04946.mat 16x1+24 1000.0(0)/mV 16 0 48 1936 0 V6
# Age: 59
# Sex: Male
# Dx: 698252002,39732003,427084000,425419005,164930006
# Rx: Unknown
# Hx: Unknown