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

File: <base>/training/georgia/g10/E09505.hea (702 bytes) 
E09505 12 500 5000
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -68 1651 0 I
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -19 4321 0 II
E09505.mat 16x1+24 1000.0(0)/mV 16 0 48 2471 0 III
E09505.mat 16x1+24 1000.0(0)/mV 16 0 43 -2882 0 aVR
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -58 32584 0 aVL
E09505.mat 16x1+24 1000.0(0)/mV 16 0 14 -29034 0 aVF
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -9 -5610 0 V1
E09505.mat 16x1+24 1000.0(0)/mV 16 0 9 8560 0 V2
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -48 9582 0 V3
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -78 15118 0 V4
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -97 -4526 0 V5
E09505.mat 16x1+24 1000.0(0)/mV 16 0 -78 20514 0 V6
# Age: 61
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown