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

File: <base>/training/georgia/g10/E09857.hea (746 bytes) 
E09857 12 500 5000
E09857.mat 16x1+24 1000.0(0)/mV 16 0 -58 -30564 0 I
E09857.mat 16x1+24 1000.0(0)/mV 16 0 -9 18907 0 II
E09857.mat 16x1+24 1000.0(0)/mV 16 0 48 -16351 0 III
E09857.mat 16x1+24 1000.0(0)/mV 16 0 34 -27270 0 aVR
E09857.mat 16x1+24 1000.0(0)/mV 16 0 -53 -7071 0 aVL
E09857.mat 16x1+24 1000.0(0)/mV 16 0 19 -31316 0 aVF
E09857.mat 16x1+24 1000.0(0)/mV 16 0 78 518 0 V1
E09857.mat 16x1+24 1000.0(0)/mV 16 0 97 -4242 0 V2
E09857.mat 16x1+24 1000.0(0)/mV 16 0 439 -15748 0 V3
E09857.mat 16x1+24 1000.0(0)/mV 16 0 0 5239 0 V4
E09857.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15950 0 V5
E09857.mat 16x1+24 1000.0(0)/mV 16 0 -19 20771 0 V6
# Age: 68
# Sex: Male
# Dx: 164884008,164873001,59931005,425623009,164917005
# Rx: Unknown
# Hx: Unknown