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

File: <base>/training/georgia/g10/E09405.hea (758 bytes) 
E09405 12 500 5000
E09405.mat 16x1+24 1000.0(0)/mV 16 0 195 21225 0 I
E09405.mat 16x1+24 1000.0(0)/mV 16 0 419 21402 0 II
E09405.mat 16x1+24 1000.0(0)/mV 16 0 224 -389 0 III
E09405.mat 16x1+24 1000.0(0)/mV 16 0 -307 11343 0 aVR
E09405.mat 16x1+24 1000.0(0)/mV 16 0 -14 10698 0 aVL
E09405.mat 16x1+24 1000.0(0)/mV 16 0 322 -22311 0 aVF
E09405.mat 16x1+24 1000.0(0)/mV 16 0 -234 21203 0 V1
E09405.mat 16x1+24 1000.0(0)/mV 16 0 -400 -7903 0 V2
E09405.mat 16x1+24 1000.0(0)/mV 16 0 858 21451 0 V3
E09405.mat 16x1+24 1000.0(0)/mV 16 0 1083 -31713 0 V4
E09405.mat 16x1+24 1000.0(0)/mV 16 0 1180 -26506 0 V5
E09405.mat 16x1+24 1000.0(0)/mV 16 0 976 -7573 0 V6
# Age: 79
# Sex: Male
# Dx: 59118001,164889003,425623009,425419005,164934002
# Rx: Unknown
# Hx: Unknown