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

File: <base>/training/georgia/g10/E09751.hea (727 bytes) 
E09751 12 500 5000
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -39 6952 0 I
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -117 24580 0 II
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -78 17462 0 III
E09751.mat 16x1+24 1000.0(0)/mV 16 0 78 -15803 0 aVR
E09751.mat 16x1+24 1000.0(0)/mV 16 0 19 -5016 0 aVL
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -97 21220 0 aVF
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -165 14987 0 V1
E09751.mat 16x1+24 1000.0(0)/mV 16 0 48 -16375 0 V2
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22674 0 V3
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -29 -31715 0 V4
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -48 -26676 0 V5
E09751.mat 16x1+24 1000.0(0)/mV 16 0 -29 30543 0 V6
# Age: 72
# Sex: Female
# Dx: 251146004,284470004
# Rx: Unknown
# Hx: Unknown