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

File: <base>/training/georgia/g5/E04842.hea (715 bytes) 
E04842 12 500 5000
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -175 27042 0 I
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -97 -21761 0 II
E04842.mat 16x1+24 1000.0(0)/mV 16 0 78 15670 0 III
E04842.mat 16x1+24 1000.0(0)/mV 16 0 136 30007 0 aVR
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -126 -27218 0 aVL
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3764 0 aVF
E04842.mat 16x1+24 1000.0(0)/mV 16 0 19 300 0 V1
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -48 24032 0 V2
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -107 27020 0 V3
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -146 -26734 0 V4
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -136 -539 0 V5
E04842.mat 16x1+24 1000.0(0)/mV 16 0 -126 17027 0 V6
# Age: 69
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown