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

File: <base>/training/georgia/g5/E04916.hea (742 bytes) 
E04916 12 500 5000
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -58 24329 0 I
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -136 11844 0 II
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11742 0 III
E04916.mat 16x1+24 1000.0(0)/mV 16 0 97 -18193 0 aVR
E04916.mat 16x1+24 1000.0(0)/mV 16 0 9 -14495 0 aVL
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -107 -32655 0 aVF
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -58 29142 0 V1
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -185 -26591 0 V2
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -136 -31316 0 V3
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -117 -13027 0 V4
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -97 -28327 0 V5
E04916.mat 16x1+24 1000.0(0)/mV 16 0 -78 -24931 0 V6
# Age: 68
# Sex: Male
# Dx: 59118001,426177001,164873001
# Rx: Unknown
# Hx: Unknown