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

File: <base>/training/georgia/g10/E09929.hea (711 bytes) 
E09929 12 500 5000
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -58 5831 0 I
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -175 18983 0 II
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -117 14300 0 III
E09929.mat 16x1+24 1000.0(0)/mV 16 0 117 -12101 0 aVR
E09929.mat 16x1+24 1000.0(0)/mV 16 0 29 28032 0 aVL
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -146 -16178 0 aVF
E09929.mat 16x1+24 1000.0(0)/mV 16 0 9 -29495 0 V1
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -9 609 0 V2
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -39 18209 0 V3
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -87 16845 0 V4
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -48 -1768 0 V5
E09929.mat 16x1+24 1000.0(0)/mV 16 0 -78 27799 0 V6
# Age: 31
# Sex: Male
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown