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

File: <base>/training/georgia/g6/E05429.hea (715 bytes) 
E05429 12 500 5000
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 23208 0 I
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 -13298 0 II
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 29397 0 III
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 27754 0 aVR
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 30006 0 aVL
E05429.mat 16x1+24 1000.0(0)/mV 16 0 0 8142 0 aVF
E05429.mat 16x1+24 1000.0(0)/mV 16 0 39 19022 0 V1
E05429.mat 16x1+24 1000.0(0)/mV 16 0 136 1461 0 V2
E05429.mat 16x1+24 1000.0(0)/mV 16 0 87 24769 0 V3
E05429.mat 16x1+24 1000.0(0)/mV 16 0 9 533 0 V4
E05429.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23379 0 V5
E05429.mat 16x1+24 1000.0(0)/mV 16 0 48 13938 0 V6
# Age: 86
# Sex: Female
# Dx: 427393009,284470004,284470004
# Rx: Unknown
# Hx: Unknown