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

File: <base>/training/georgia/g7/E06535.hea (725 bytes) 
E06535 12 500 5000
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -204 6848 0 I
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -68 -32443 0 II
E06535.mat 16x1+24 1000.0(0)/mV 16 0 136 25933 0 III
E06535.mat 16x1+24 1000.0(0)/mV 16 0 136 -20042 0 aVR
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -170 -9428 0 aVL
E06535.mat 16x1+24 1000.0(0)/mV 16 0 34 29915 0 aVF
E06535.mat 16x1+24 1000.0(0)/mV 16 0 19 9984 0 V1
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -87 16705 0 V2
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -48 -32415 0 V3
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -868 -200 0 V4
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -273 -10084 0 V5
E06535.mat 16x1+24 1000.0(0)/mV 16 0 -58 28766 0 V6
# Age: 66
# Sex: Male
# Dx: 164873001,427393009
# Rx: Unknown
# Hx: Unknown