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

File: <base>/training/georgia/g10/E09527.hea (722 bytes) 
E09527 12 500 5000
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7505 0 I
E09527.mat 16x1+24 1000.0(0)/mV 16 0 29 -32626 0 II
E09527.mat 16x1+24 1000.0(0)/mV 16 0 48 -24647 0 III
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -4 19997 0 aVR
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -34 8351 0 aVL
E09527.mat 16x1+24 1000.0(0)/mV 16 0 39 -28694 0 aVF
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26683 0 V1
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -39 32005 0 V2
E09527.mat 16x1+24 1000.0(0)/mV 16 0 19 29640 0 V3
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -58 -12044 0 V4
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23094 0 V5
E09527.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10392 0 V6
# Age: 67
# Sex: Male
# Dx: 713426002,270492004
# Rx: Unknown
# Hx: Unknown