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

File: <base>/training/georgia/g6/E05329.hea (720 bytes) 
E05329 12 500 5000
E05329.mat 16x1+24 1000.0(0)/mV 16 0 58 28470 0 I
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -302 24856 0 II
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -361 -2570 0 III
E05329.mat 16x1+24 1000.0(0)/mV 16 0 122 6003 0 aVR
E05329.mat 16x1+24 1000.0(0)/mV 16 0 209 16230 0 aVL
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -331 -21473 0 aVF
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -224 -12425 0 V1
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -448 -24028 0 V2
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -361 -5400 0 V3
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -253 31706 0 V4
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -126 11175 0 V5
E05329.mat 16x1+24 1000.0(0)/mV 16 0 -48 2459 0 V6
# Age: 65
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown