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

File: <base>/training/georgia/g5/E04324.hea (722 bytes) 
E04324 12 500 5000
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -82 18511 0 I
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -107 -24510 0 II
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -24 23184 0 III
E04324.mat 16x1+24 1000.0(0)/mV 16 0 95 2793 0 aVR
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2855 0 aVL
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -65 -716 0 aVF
E04324.mat 16x1+24 1000.0(0)/mV 16 0 58 14848 0 V1
E04324.mat 16x1+24 1000.0(0)/mV 16 0 53 14343 0 V2
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -29 16652 0 V3
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -92 3983 0 V4
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -92 6118 0 V5
E04324.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8833 0 V6
# Age: 48
# Sex: Male
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown