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

File: <base>/training/georgia/g10/E09695.hea (729 bytes)
E09695 12 500 5000
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -68 -17824 0 I
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -117 6478 0 II
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -48 24978 0 III
E09695.mat 16x1+24 1000.0(0)/mV 16 0 92 -27087 0 aVR
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21405 0 aVL
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -82 -17017 0 aVF
E09695.mat 16x1+24 1000.0(0)/mV 16 0 0 11332 0 V1
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -68 4506 0 V2
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -87 -21008 0 V3
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -165 -7866 0 V4
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -68 18026 0 V5
E09695.mat 16x1+24 1000.0(0)/mV 16 0 -78 -25081 0 V6
# Age: 49
# Sex: Male
# Dx: 67741000119109,164889003
# Rx: Unknown
# Hx: Unknown