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

File: <base>/training/georgia/g10/E09373.hea (711 bytes) 
E09373 12 500 5000
E09373.mat 16x1+24 1000.0(0)/mV 16 0 34 -27162 0 I
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -19 31001 0 II
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -53 -7572 0 III
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -7 30994 0 aVR
E09373.mat 16x1+24 1000.0(0)/mV 16 0 43 -9779 0 aVL
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -36 -21011 0 aVF
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -58 12589 0 V1
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -87 28104 0 V2
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -68 12511 0 V3
E09373.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24233 0 V4
E09373.mat 16x1+24 1000.0(0)/mV 16 0 39 -31886 0 V5
E09373.mat 16x1+24 1000.0(0)/mV 16 0 43 28282 0 V6
# Age: 62
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown