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

File: <base>/training/georgia/g10/E09951.hea (713 bytes) 
E09951 12 500 5000
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -68 4343 0 I
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -87 12508 0 II
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -19 8262 0 III
E09951.mat 16x1+24 1000.0(0)/mV 16 0 78 -8280 0 aVR
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -24 -1979 0 aVL
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -53 10740 0 aVF
E09951.mat 16x1+24 1000.0(0)/mV 16 0 29 -26695 0 V1
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10069 0 V2
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -107 8660 0 V3
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -107 28029 0 V4
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -87 -15360 0 V5
E09951.mat 16x1+24 1000.0(0)/mV 16 0 -68 -27135 0 V6
# Age: 42
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown