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

File: <base>/training/georgia/g1/E00842.hea (712 bytes) 
E00842 12 500 5000
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -48 18976 0 I
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -58 -23705 0 II
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -9 24570 0 III
E00842.mat 16x1+24 1000.0(0)/mV 16 0 53 -30110 0 aVR
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -19 30228 0 aVL
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -34 516 0 aVF
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -126 9518 0 V1
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11850 0 V2
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -156 31251 0 V3
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -117 -18878 0 V4
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -107 -6702 0 V5
E00842.mat 16x1+24 1000.0(0)/mV 16 0 -58 20 0 V6
# Age: 40
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown