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

File: <base>/training/georgia/g6/E05802.hea (719 bytes) 
E05802 12 500 5000
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -39 -341 0 I
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11699 0 II
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10755 0 III
E05802.mat 16x1+24 1000.0(0)/mV 16 0 43 6339 0 aVR
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -14 5127 0 aVL
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11170 0 aVF
E05802.mat 16x1+24 1000.0(0)/mV 16 0 39 21572 0 V1
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3627 0 V2
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -48 16982 0 V3
E05802.mat 16x1+24 1000.0(0)/mV 16 0 68 -25165 0 V4
E05802.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12351 0 V5
E05802.mat 16x1+24 1000.0(0)/mV 16 0 58 22263 0 V6
# Age: 47
# Sex: Female
# Dx: 39732003,427084000
# Rx: Unknown
# Hx: Unknown