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

File: <base>/training/georgia/g2/E01795.hea (736 bytes) 
E01795 12 500 5000
E01795.mat 16x1+24 1000.0(0)/mV 16 0 9 -4116 0 I
E01795.mat 16x1+24 1000.0(0)/mV 16 0 -68 -31748 0 II
E01795.mat 16x1+24 1000.0(0)/mV 16 0 -78 -27758 0 III
E01795.mat 16x1+24 1000.0(0)/mV 16 0 29 17921 0 aVR
E01795.mat 16x1+24 1000.0(0)/mV 16 0 43 12120 0 aVL
E01795.mat 16x1+24 1000.0(0)/mV 16 0 -73 -29787 0 aVF
E01795.mat 16x1+24 1000.0(0)/mV 16 0 9 -19308 0 V1
E01795.mat 16x1+24 1000.0(0)/mV 16 0 0 30017 0 V2
E01795.mat 16x1+24 1000.0(0)/mV 16 0 107 6713 0 V3
E01795.mat 16x1+24 1000.0(0)/mV 16 0 29 -17569 0 V4
E01795.mat 16x1+24 1000.0(0)/mV 16 0 58 -10041 0 V5
E01795.mat 16x1+24 1000.0(0)/mV 16 0 58 -16369 0 V6
# Age: 79
# Sex: Male
# Dx: 111975006,164930006,39732003,164934002
# Rx: Unknown
# Hx: Unknown