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

File: <base>/training/georgia/g5/E04958.hea (717 bytes) 
E04958 12 500 5000
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -9 8092 0 I
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -34 1063 0 II
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -24 -7414 0 III
E04958.mat 16x1+24 1000.0(0)/mV 16 0 21 -4853 0 aVR
E04958.mat 16x1+24 1000.0(0)/mV 16 0 7 7704 0 aVL
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -29 -3541 0 aVF
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17170 0 V1
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -53 16253 0 V2
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -39 -15955 0 V3
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -24 10210 0 V4
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -53 26269 0 V5
E04958.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20553 0 V6
# Age: 53
# Sex: Male
# Dx: 39732003,427393009
# Rx: Unknown
# Hx: Unknown