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

File: <base>/training/georgia/g8/E07893.hea (721 bytes) 
E07893 12 500 5000
E07893.mat 16x1+24 1000.0(0)/mV 16 0 34 -32347 0 I
E07893.mat 16x1+24 1000.0(0)/mV 16 0 73 5062 0 II
E07893.mat 16x1+24 1000.0(0)/mV 16 0 39 -27981 0 III
E07893.mat 16x1+24 1000.0(0)/mV 16 0 -53 13638 0 aVR
E07893.mat 16x1+24 1000.0(0)/mV 16 0 -2 -2428 0 aVL
E07893.mat 16x1+24 1000.0(0)/mV 16 0 56 -11539 0 aVF
E07893.mat 16x1+24 1000.0(0)/mV 16 0 48 27435 0 V1
E07893.mat 16x1+24 1000.0(0)/mV 16 0 97 12612 0 V2
E07893.mat 16x1+24 1000.0(0)/mV 16 0 -102 10510 0 V3
E07893.mat 16x1+24 1000.0(0)/mV 16 0 170 -26842 0 V4
E07893.mat 16x1+24 1000.0(0)/mV 16 0 -34 18282 0 V5
E07893.mat 16x1+24 1000.0(0)/mV 16 0 -92 -13691 0 V6
# Age: 83
# Sex: Female
# Dx: 89792004,164889003
# Rx: Unknown
# Hx: Unknown