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

File: <base>/training/georgia/g3/E02875.hea (752 bytes) 
E02875 12 500 5000
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -19 27933 0 I
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -4 -311 0 II
E02875.mat 16x1+24 1000.0(0)/mV 16 0 14 -28141 0 III
E02875.mat 16x1+24 1000.0(0)/mV 16 0 12 -13497 0 aVR
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -17 28038 0 aVL
E02875.mat 16x1+24 1000.0(0)/mV 16 0 4 -14132 0 aVF
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -48 -27735 0 V1
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -131 15906 0 V2
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -63 -7506 0 V3
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31793 0 V4
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -97 -24863 0 V5
E02875.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9963 0 V6
# Age: 83
# Sex: Male
# Dx: 428750005,59118001,425623009,426177001,164890007
# Rx: Unknown
# Hx: Unknown