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

File: <base>/training/georgia/g1/E00884.hea (722 bytes) 
E00884 12 500 5000
E00884.mat 16x1+24 1000.0(0)/mV 16 0 -58 -11572 0 I
E00884.mat 16x1+24 1000.0(0)/mV 16 0 488 -1677 0 II
E00884.mat 16x1+24 1000.0(0)/mV 16 0 546 9807 0 III
E00884.mat 16x1+24 1000.0(0)/mV 16 0 -214 -26068 0 aVR
E00884.mat 16x1+24 1000.0(0)/mV 16 0 -302 -10837 0 aVL
E00884.mat 16x1+24 1000.0(0)/mV 16 0 517 -28646 0 aVF
E00884.mat 16x1+24 1000.0(0)/mV 16 0 -478 -19323 0 V1
E00884.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23574 0 V2
E00884.mat 16x1+24 1000.0(0)/mV 16 0 292 -24543 0 V3
E00884.mat 16x1+24 1000.0(0)/mV 16 0 204 -10426 0 V4
E00884.mat 16x1+24 1000.0(0)/mV 16 0 87 -19126 0 V5
E00884.mat 16x1+24 1000.0(0)/mV 16 0 165 31082 0 V6
# Age: 26
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown