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

File: <base>/training/georgia/g6/E05812.hea (735 bytes) 
E05812 12 500 5000
E05812.mat 16x1+24 1000.0(0)/mV 16 0 -82 -21145 0 I
E05812.mat 16x1+24 1000.0(0)/mV 16 0 4 -28402 0 II
E05812.mat 16x1+24 1000.0(0)/mV 16 0 87 -7640 0 III
E05812.mat 16x1+24 1000.0(0)/mV 16 0 39 24824 0 aVR
E05812.mat 16x1+24 1000.0(0)/mV 16 0 -85 -6559 0 aVL
E05812.mat 16x1+24 1000.0(0)/mV 16 0 46 -17597 0 aVF
E05812.mat 16x1+24 1000.0(0)/mV 16 0 53 -23270 0 V1
E05812.mat 16x1+24 1000.0(0)/mV 16 0 9 6984 0 V2
E05812.mat 16x1+24 1000.0(0)/mV 16 0 53 1154 0 V3
E05812.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24130 0 V4
E05812.mat 16x1+24 1000.0(0)/mV 16 0 -29 682 0 V5
E05812.mat 16x1+24 1000.0(0)/mV 16 0 -97 -25222 0 V6
# Age: 59
# Sex: Male
# Dx: 713426002,427084000,164934002,164873001
# Rx: Unknown
# Hx: Unknown