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

File: <base>/training/georgia/g6/E05244.hea (731 bytes) 
E05244 12 500 5000
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -58 32556 0 I
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -136 22027 0 II
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -78 -9905 0 III
E05244.mat 16x1+24 1000.0(0)/mV 16 0 97 -27062 0 aVR
E05244.mat 16x1+24 1000.0(0)/mV 16 0 9 -11522 0 aVL
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -107 -26577 0 aVF
E05244.mat 16x1+24 1000.0(0)/mV 16 0 107 30307 0 V1
E05244.mat 16x1+24 1000.0(0)/mV 16 0 87 -8480 0 V2
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23941 0 V3
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -9 -12316 0 V4
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -39 6738 0 V5
E05244.mat 16x1+24 1000.0(0)/mV 16 0 -48 11121 0 V6
# Age: 87
# Sex: Male
# Dx: 39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown