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

File: <base>/training/georgia/g5/E04532.hea (708 bytes) 
E04532 12 500 5000
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -29 16057 0 I
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -29 -54 0 II
E04532.mat 16x1+24 1000.0(0)/mV 16 0 0 -16033 0 III
E04532.mat 16x1+24 1000.0(0)/mV 16 0 29 -8127 0 aVR
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -14 -16682 0 aVL
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -14 24798 0 aVF
E04532.mat 16x1+24 1000.0(0)/mV 16 0 29 20655 0 V1
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -39 14332 0 V2
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -48 27724 0 V3
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -48 29449 0 V4
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -58 23652 0 V5
E04532.mat 16x1+24 1000.0(0)/mV 16 0 -58 12323 0 V6
# Age: 71
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown