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

File: <base>/training/georgia/g6/E05308.hea (713 bytes) 
E05308 12 500 5000
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4367 0 I
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -136 -14615 0 II
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -97 -8874 0 III
E05308.mat 16x1+24 1000.0(0)/mV 16 0 87 9498 0 aVR
E05308.mat 16x1+24 1000.0(0)/mV 16 0 29 2393 0 aVL
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -117 -12364 0 aVF
E05308.mat 16x1+24 1000.0(0)/mV 16 0 29 -15694 0 V1
E05308.mat 16x1+24 1000.0(0)/mV 16 0 58 25618 0 V2
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -58 -17794 0 V3
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -58 -20322 0 V4
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -78 32631 0 V5
E05308.mat 16x1+24 1000.0(0)/mV 16 0 -48 31473 0 V6
# Age: 70
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown