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

File: <base>/training/georgia/g7/E06994.hea (716 bytes) 
E06994 12 500 5000
E06994.mat 16x1+24 1000.0(0)/mV 16 0 78 -18128 0 I
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -9 175 0 II
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -87 18645 0 III
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -34 9057 0 aVR
E06994.mat 16x1+24 1000.0(0)/mV 16 0 82 -18216 0 aVL
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -48 9385 0 aVF
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -146 -5810 0 V1
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -78 -6169 0 V2
E06994.mat 16x1+24 1000.0(0)/mV 16 0 19 -29566 0 V3
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -78 17508 0 V4
E06994.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19581 0 V5
E06994.mat 16x1+24 1000.0(0)/mV 16 0 0 -19822 0 V6
# Age: 76
# Sex: Male
# Dx: 59118001,164889003
# Rx: Unknown
# Hx: Unknown