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

File: <base>/training/georgia/g10/E09199.hea (745 bytes) 
E09199 12 500 5000
E09199.mat 16x1+24 1000.0(0)/mV 16 0 43 -525 0 I
E09199.mat 16x1+24 1000.0(0)/mV 16 0 58 16375 0 II
E09199.mat 16x1+24 1000.0(0)/mV 16 0 14 17000 0 III
E09199.mat 16x1+24 1000.0(0)/mV 16 0 -51 -7956 0 aVR
E09199.mat 16x1+24 1000.0(0)/mV 16 0 14 -8456 0 aVL
E09199.mat 16x1+24 1000.0(0)/mV 16 0 36 16589 0 aVF
E09199.mat 16x1+24 1000.0(0)/mV 16 0 -82 -28696 0 V1
E09199.mat 16x1+24 1000.0(0)/mV 16 0 -161 -29025 0 V2
E09199.mat 16x1+24 1000.0(0)/mV 16 0 -58 31463 0 V3
E09199.mat 16x1+24 1000.0(0)/mV 16 0 48 -27175 0 V4
E09199.mat 16x1+24 1000.0(0)/mV 16 0 48 19906 0 V5
E09199.mat 16x1+24 1000.0(0)/mV 16 0 4 30388 0 V6
# Age: 74
# Sex: Male
# Dx: 698252002,39732003,426177001,284470004,284470004
# Rx: Unknown
# Hx: Unknown