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

File: <base>/training/georgia/g6/E05246.hea (707 bytes) 
E05246 12 500 5000
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32541 0 I
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -29 -23218 0 II
E05246.mat 16x1+24 1000.0(0)/mV 16 0 0 9341 0 III
E05246.mat 16x1+24 1000.0(0)/mV 16 0 29 27784 0 aVR
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -14 -20914 0 aVL
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -14 -6694 0 aVF
E05246.mat 16x1+24 1000.0(0)/mV 16 0 87 -6558 0 V1
E05246.mat 16x1+24 1000.0(0)/mV 16 0 19 7823 0 V2
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -9 18284 0 V3
E05246.mat 16x1+24 1000.0(0)/mV 16 0 -9 28297 0 V4
E05246.mat 16x1+24 1000.0(0)/mV 16 0 29 -29396 0 V5
E05246.mat 16x1+24 1000.0(0)/mV 16 0 107 -29833 0 V6
# Age: 87
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown