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

File: <base>/training/georgia/g6/E05422.hea (702 bytes) 
E05422 12 500 5000
E05422.mat 16x1+24 1000.0(0)/mV 16 0 39 3468 0 I
E05422.mat 16x1+24 1000.0(0)/mV 16 0 19 9021 0 II
E05422.mat 16x1+24 1000.0(0)/mV 16 0 -19 6210 0 III
E05422.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6309 0 aVR
E05422.mat 16x1+24 1000.0(0)/mV 16 0 29 -1030 0 aVL
E05422.mat 16x1+24 1000.0(0)/mV 16 0 0 7771 0 aVF
E05422.mat 16x1+24 1000.0(0)/mV 16 0 214 21166 0 V1
E05422.mat 16x1+24 1000.0(0)/mV 16 0 263 9364 0 V2
E05422.mat 16x1+24 1000.0(0)/mV 16 0 -19 -31387 0 V3
E05422.mat 16x1+24 1000.0(0)/mV 16 0 29 28360 0 V4
E05422.mat 16x1+24 1000.0(0)/mV 16 0 29 28652 0 V5
E05422.mat 16x1+24 1000.0(0)/mV 16 0 9 -27271 0 V6
# Age: 21
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown