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

File: <base>/training/georgia/g2/E01563.hea (713 bytes) 
E01563 12 500 5000
E01563.mat 16x1+24 1000.0(0)/mV 16 0 107 -26439 0 I
E01563.mat 16x1+24 1000.0(0)/mV 16 0 146 -31729 0 II
E01563.mat 16x1+24 1000.0(0)/mV 16 0 39 -5329 0 III
E01563.mat 16x1+24 1000.0(0)/mV 16 0 -126 -3709 0 aVR
E01563.mat 16x1+24 1000.0(0)/mV 16 0 34 22193 0 aVL
E01563.mat 16x1+24 1000.0(0)/mV 16 0 92 -18132 0 aVF
E01563.mat 16x1+24 1000.0(0)/mV 16 0 -107 10694 0 V1
E01563.mat 16x1+24 1000.0(0)/mV 16 0 -19 11013 0 V2
E01563.mat 16x1+24 1000.0(0)/mV 16 0 -58 19617 0 V3
E01563.mat 16x1+24 1000.0(0)/mV 16 0 68 16732 0 V4
E01563.mat 16x1+24 1000.0(0)/mV 16 0 97 16579 0 V5
E01563.mat 16x1+24 1000.0(0)/mV 16 0 156 -30058 0 V6
# Age: 77
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown