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

File: <base>/training/georgia/g1/E00084.hea (721 bytes) 
E00084 12 500 5000
E00084.mat 16x1+24 1000.0(0)/mV 16 0 4 -5511 0 I
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -29 19764 0 II
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -34 26045 0 III
E00084.mat 16x1+24 1000.0(0)/mV 16 0 12 -7164 0 aVR
E00084.mat 16x1+24 1000.0(0)/mV 16 0 19 -15843 0 aVL
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -31 22998 0 aVF
E00084.mat 16x1+24 1000.0(0)/mV 16 0 0 -12728 0 V1
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -92 -10494 0 V2
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15303 0 V3
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -34 -13461 0 V4
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -9 10933 0 V5
E00084.mat 16x1+24 1000.0(0)/mV 16 0 -9 29025 0 V6
# Age: 73
# Sex: Female
# Dx: 428750005,111975006
# Rx: Unknown
# Hx: Unknown