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

File: <base>/training/georgia/g6/E05163.hea (701 bytes) 
E05163 12 500 5000
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 -21447 0 I
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 -14576 0 II
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 7541 0 III
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 18251 0 aVR
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 -14245 0 aVL
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 -3267 0 aVF
E05163.mat 16x1+24 1000.0(0)/mV 16 0 -126 14019 0 V1
E05163.mat 16x1+24 1000.0(0)/mV 16 0 -39 -6425 0 V2
E05163.mat 16x1+24 1000.0(0)/mV 16 0 -9 -31054 0 V3
E05163.mat 16x1+24 1000.0(0)/mV 16 0 -9 -32178 0 V4
E05163.mat 16x1+24 1000.0(0)/mV 16 0 0 -27115 0 V5
E05163.mat 16x1+24 1000.0(0)/mV 16 0 9 31314 0 V6
# Age: 68
# Sex: Female
# Dx: 39732003
# Rx: Unknown
# Hx: Unknown