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

File: <base>/training/georgia/g7/E06931.hea (737 bytes) 
E06931 12 500 5000
E06931.mat 16x1+24 1000.0(0)/mV 16 0 185 -27720 0 I
E06931.mat 16x1+24 1000.0(0)/mV 16 0 575 -24000 0 II
E06931.mat 16x1+24 1000.0(0)/mV 16 0 390 3882 0 III
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -380 25330 0 aVR
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -102 -16106 0 aVL
E06931.mat 16x1+24 1000.0(0)/mV 16 0 483 -10063 0 aVF
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -644 -13805 0 V1
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -2605 -32660 0 V2
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -2098 20456 0 V3
E06931.mat 16x1+24 1000.0(0)/mV 16 0 -331 29172 0 V4
E06931.mat 16x1+24 1000.0(0)/mV 16 0 595 -21962 0 V5
E06931.mat 16x1+24 1000.0(0)/mV 16 0 790 -22194 0 V6
# Age: 62
# Sex: Male
# Dx: 164934002,111975006
# Rx: Unknown
# Hx: Unknown