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

File: <base>/training/georgia/g6/E05424.hea (719 bytes) 
E05424 12 500 5000
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -48 -4679 0 I
E05424.mat 16x1+24 1000.0(0)/mV 16 0 9 -4084 0 II
E05424.mat 16x1+24 1000.0(0)/mV 16 0 58 1352 0 III
E05424.mat 16x1+24 1000.0(0)/mV 16 0 19 -28545 0 aVR
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -53 30115 0 aVL
E05424.mat 16x1+24 1000.0(0)/mV 16 0 34 -1534 0 aVF
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -19 9792 0 V1
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -29 18458 0 V2
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -68 24991 0 V3
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -126 29625 0 V4
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -107 14731 0 V5
E05424.mat 16x1+24 1000.0(0)/mV 16 0 -87 -30924 0 V6
# Age: 84
# Sex: Male
# Dx: 426177001,251268003
# Rx: Unknown
# Hx: Unknown