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

File: <base>/training/georgia/g10/E09636.hea (740 bytes) 
E09636 12 500 5000
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -253 -5385 0 I
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -19 17542 0 II
E09636.mat 16x1+24 1000.0(0)/mV 16 0 234 22548 0 III
E09636.mat 16x1+24 1000.0(0)/mV 16 0 136 26441 0 aVR
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -244 18640 0 aVL
E09636.mat 16x1+24 1000.0(0)/mV 16 0 107 19799 0 aVF
E09636.mat 16x1+24 1000.0(0)/mV 16 0 331 -10005 0 V1
E09636.mat 16x1+24 1000.0(0)/mV 16 0 390 -21870 0 V2
E09636.mat 16x1+24 1000.0(0)/mV 16 0 97 -19082 0 V3
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -126 1279 0 V4
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -224 -16326 0 V5
E09636.mat 16x1+24 1000.0(0)/mV 16 0 -273 -20501 0 V6
# Age: 66
# Sex: Male
# Dx: 111975006,164930006,164934002
# Rx: Unknown
# Hx: Unknown