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

File: <base>/training/georgia/g6/E05179.hea (718 bytes) 
E05179 12 500 5000
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23424 0 I
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -126 -16670 0 II
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -58 7850 0 III
E05179.mat 16x1+24 1000.0(0)/mV 16 0 97 20088 0 aVR
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -4 -15785 0 aVL
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -92 -4445 0 aVF
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -29 -10515 0 V1
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -165 -16207 0 V2
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -214 -4651 0 V3
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -175 4218 0 V4
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -126 11463 0 V5
E05179.mat 16x1+24 1000.0(0)/mV 16 0 -87 -7125 0 V6
# Age: 42
# Sex: Male
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown