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

File: <base>/training/georgia/g1/E00083.hea (752 bytes) 
E00083 12 500 5000
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24858 0 I
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -39 -25734 0 II
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -9 -322 0 III
E00083.mat 16x1+24 1000.0(0)/mV 16 0 34 24942 0 aVR
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -9 -11567 0 aVL
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -24 -13047 0 aVF
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3684 0 V1
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -224 -17397 0 V2
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -9 8709 0 V3
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29479 0 V4
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -48 9714 0 V5
E00083.mat 16x1+24 1000.0(0)/mV 16 0 -29 -12894 0 V6
# Age: 82
# Sex: Male
# Dx: 428750005,39732003,426177001,427393009,164873001
# Rx: Unknown
# Hx: Unknown