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

File: <base>/training/georgia/g7/E06938.hea (744 bytes) 
E06938 12 500 5000
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -29 -25322 0 I
E06938.mat 16x1+24 1000.0(0)/mV 16 0 58 -22835 0 II
E06938.mat 16x1+24 1000.0(0)/mV 16 0 87 3291 0 III
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -14 24310 0 aVR
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -58 -14557 0 aVL
E06938.mat 16x1+24 1000.0(0)/mV 16 0 73 -9840 0 aVF
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -48 26966 0 V1
E06938.mat 16x1+24 1000.0(0)/mV 16 0 29 32396 0 V2
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -117 -13429 0 V3
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7251 0 V4
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17616 0 V5
E06938.mat 16x1+24 1000.0(0)/mV 16 0 -19 -18778 0 V6
# Age: 82
# Sex: Male
# Dx: 425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown