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

File: <base>/training/georgia/g9/E08302.hea (709 bytes)
E08302 12 500 5000
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -58 -19507 0 I
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -126 -28005 0 II
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -68 -7884 0 III
E08302.mat 16x1+24 1000.0(0)/mV 16 0 92 -8879 0 aVR
E08302.mat 16x1+24 1000.0(0)/mV 16 0 4 27347 0 aVL
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -97 -17891 0 aVF
E08302.mat 16x1+24 1000.0(0)/mV 16 0 39 9903 0 V1
E08302.mat 16x1+24 1000.0(0)/mV 16 0 0 -12166 0 V2
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -39 17747 0 V3
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -78 6414 0 V4
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -97 17644 0 V5
E08302.mat 16x1+24 1000.0(0)/mV 16 0 -48 24138 0 V6
# Age: 59
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown