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

File: <base>/training/georgia/g1/E00936.hea (727 bytes) 
E00936 12 500 5000
E00936.mat 16x1+24 1000.0(0)/mV 16 0 0 -5215 0 I
E00936.mat 16x1+24 1000.0(0)/mV 16 0 19 -13914 0 II
E00936.mat 16x1+24 1000.0(0)/mV 16 0 19 -7750 0 III
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -9 9509 0 aVR
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -9 753 0 aVL
E00936.mat 16x1+24 1000.0(0)/mV 16 0 19 -10745 0 aVF
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -9 1605 0 V1
E00936.mat 16x1+24 1000.0(0)/mV 16 0 29 8035 0 V2
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -9 4694 0 V3
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -24 24735 0 V4
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -24 10164 0 V5
E00936.mat 16x1+24 1000.0(0)/mV 16 0 -4 21624 0 V6
# Age: 84
# Sex: Male
# Dx: 425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown