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

File: <base>/training/georgia/g7/E06948.hea (709 bytes) 
E06948 12 500 5000
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -29 11672 0 I
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -19 27108 0 II
E06948.mat 16x1+24 1000.0(0)/mV 16 0 9 16114 0 III
E06948.mat 16x1+24 1000.0(0)/mV 16 0 24 -19410 0 aVR
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -19 -1922 0 aVL
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -4 21566 0 aVF
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -24 -7011 0 V1
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -82 -11990 0 V2
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -102 9358 0 V3
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -122 12440 0 V4
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -63 9087 0 V5
E06948.mat 16x1+24 1000.0(0)/mV 16 0 -58 7724 0 V6
# Age: 81
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown