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

File: <base>/training/georgia/g6/E05222.hea (713 bytes) 
E05222 12 500 5000
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -29 23857 0 I
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -68 22920 0 II
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1500 0 III
E05222.mat 16x1+24 1000.0(0)/mV 16 0 48 -23445 0 aVR
E05222.mat 16x1+24 1000.0(0)/mV 16 0 4 -20075 0 aVL
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -53 -21627 0 aVF
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -9 7034 0 V1
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8957 0 V2
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -126 -23428 0 V3
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -97 -20128 0 V4
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -68 -3098 0 V5
E05222.mat 16x1+24 1000.0(0)/mV 16 0 -78 23050 0 V6
# Age: 50
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown