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

File: <base>/training/georgia/g10/E09870.hea (703 bytes) 
E09870 12 500 5000
E09870.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1514 0 I
E09870.mat 16x1+24 1000.0(0)/mV 16 0 78 30332 0 II
E09870.mat 16x1+24 1000.0(0)/mV 16 0 97 32681 0 III
E09870.mat 16x1+24 1000.0(0)/mV 16 0 -29 18665 0 aVR
E09870.mat 16x1+24 1000.0(0)/mV 16 0 -58 -17238 0 aVL
E09870.mat 16x1+24 1000.0(0)/mV 16 0 87 -1247 0 aVF
E09870.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22820 0 V1
E09870.mat 16x1+24 1000.0(0)/mV 16 0 9 -1580 0 V2
E09870.mat 16x1+24 1000.0(0)/mV 16 0 48 6999 0 V3
E09870.mat 16x1+24 1000.0(0)/mV 16 0 48 32311 0 V4
E09870.mat 16x1+24 1000.0(0)/mV 16 0 58 7993 0 V5
E09870.mat 16x1+24 1000.0(0)/mV 16 0 68 -3761 0 V6
# Age: 42
# Sex: Male
# Dx: 164930006
# Rx: Unknown
# Hx: Unknown