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

File: <base>/training/georgia/g10/E09871.hea (741 bytes) 
E09871 12 500 5000
E09871.mat 16x1+24 1000.0(0)/mV 16 0 9 -26621 0 I
E09871.mat 16x1+24 1000.0(0)/mV 16 0 39 22968 0 II
E09871.mat 16x1+24 1000.0(0)/mV 16 0 29 -15536 0 III
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -24 -31035 0 aVR
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -9 -5772 0 aVL
E09871.mat 16x1+24 1000.0(0)/mV 16 0 34 -29101 0 aVF
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -29 25817 0 V1
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20779 0 V2
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19565 0 V3
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -97 5880 0 V4
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20308 0 V5
E09871.mat 16x1+24 1000.0(0)/mV 16 0 -9 15818 0 V6
# Age: 75
# Sex: Male
# Dx: 426177001,425623009,164934002,164917005
# Rx: Unknown
# Hx: Unknown