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

File: <base>/training/georgia/g5/E04852.hea (718 bytes) 
E04852 12 500 5000
E04852.mat 16x1+24 1000.0(0)/mV 16 0 -9 11699 0 I
E04852.mat 16x1+24 1000.0(0)/mV 16 0 9 -4423 0 II
E04852.mat 16x1+24 1000.0(0)/mV 16 0 19 -15772 0 III
E04852.mat 16x1+24 1000.0(0)/mV 16 0 0 -3511 0 aVR
E04852.mat 16x1+24 1000.0(0)/mV 16 0 -14 -19097 0 aVL
E04852.mat 16x1+24 1000.0(0)/mV 16 0 14 22650 0 aVF
E04852.mat 16x1+24 1000.0(0)/mV 16 0 146 -28735 0 V1
E04852.mat 16x1+24 1000.0(0)/mV 16 0 273 -24074 0 V2
E04852.mat 16x1+24 1000.0(0)/mV 16 0 126 14556 0 V3
E04852.mat 16x1+24 1000.0(0)/mV 16 0 185 22867 0 V4
E04852.mat 16x1+24 1000.0(0)/mV 16 0 117 10756 0 V5
E04852.mat 16x1+24 1000.0(0)/mV 16 0 58 -29290 0 V6
# Age: 40
# Sex: Male
# Dx: 428750005,59931005
# Rx: Unknown
# Hx: Unknown