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

File: <base>/training/georgia/g1/E00930.hea (711 bytes) 
E00930 12 500 5000
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -87 -25427 0 I
E00930.mat 16x1+24 1000.0(0)/mV 16 0 29 -12693 0 II
E00930.mat 16x1+24 1000.0(0)/mV 16 0 117 13152 0 III
E00930.mat 16x1+24 1000.0(0)/mV 16 0 29 19015 0 aVR
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -102 -19033 0 aVL
E00930.mat 16x1+24 1000.0(0)/mV 16 0 73 425 0 aVF
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -19 19013 0 V1
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -78 25915 0 V2
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -68 22285 0 V3
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -48 9421 0 V4
E00930.mat 16x1+24 1000.0(0)/mV 16 0 58 -26613 0 V5
E00930.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11410 0 V6
# Age: 63
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown