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

File: <base>/training/georgia/g8/E07912.hea (731 bytes) 
E07912 12 500 5000
E07912.mat 16x1+24 1000.0(0)/mV 16 0 -68 6940 0 I
E07912.mat 16x1+24 1000.0(0)/mV 16 0 68 -2562 0 II
E07912.mat 16x1+24 1000.0(0)/mV 16 0 136 -9346 0 III
E07912.mat 16x1+24 1000.0(0)/mV 16 0 0 -2196 0 aVR
E07912.mat 16x1+24 1000.0(0)/mV 16 0 -102 8016 0 aVL
E07912.mat 16x1+24 1000.0(0)/mV 16 0 102 -5891 0 aVF
E07912.mat 16x1+24 1000.0(0)/mV 16 0 78 -53 0 V1
E07912.mat 16x1+24 1000.0(0)/mV 16 0 97 -12092 0 V2
E07912.mat 16x1+24 1000.0(0)/mV 16 0 0 -10704 0 V3
E07912.mat 16x1+24 1000.0(0)/mV 16 0 -87 17345 0 V4
E07912.mat 16x1+24 1000.0(0)/mV 16 0 -165 7482 0 V5
E07912.mat 16x1+24 1000.0(0)/mV 16 0 9 -263 0 V6
# Age: 78
# Sex: Male
# Dx: 270492004,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown