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

File: <base>/training/georgia/g1/E00982.hea (709 bytes) 
E00982 12 500 5000
E00982.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13197 0 I
E00982.mat 16x1+24 1000.0(0)/mV 16 0 -107 22364 0 II
E00982.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29049 0 III
E00982.mat 16x1+24 1000.0(0)/mV 16 0 68 -4282 0 aVR
E00982.mat 16x1+24 1000.0(0)/mV 16 0 24 -24966 0 aVL
E00982.mat 16x1+24 1000.0(0)/mV 16 0 -92 29428 0 aVF
E00982.mat 16x1+24 1000.0(0)/mV 16 0 87 10598 0 V1
E00982.mat 16x1+24 1000.0(0)/mV 16 0 97 -27545 0 V2
E00982.mat 16x1+24 1000.0(0)/mV 16 0 19 -5833 0 V3
E00982.mat 16x1+24 1000.0(0)/mV 16 0 39 13301 0 V4
E00982.mat 16x1+24 1000.0(0)/mV 16 0 9 -3855 0 V5
E00982.mat 16x1+24 1000.0(0)/mV 16 0 -58 14097 0 V6
# Age: 62
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown