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

File: <base>/training/georgia/g10/E09643.hea (738 bytes) 
E09643 12 500 5000
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -97 -1969 0 I
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -117 17324 0 II
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -19 19400 0 III
E09643.mat 16x1+24 1000.0(0)/mV 16 0 107 -7722 0 aVR
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10657 0 aVL
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -68 18294 0 aVF
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13727 0 V1
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -78 -31445 0 V2
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -19 -7640 0 V3
E09643.mat 16x1+24 1000.0(0)/mV 16 0 0 21526 0 V4
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -39 9641 0 V5
E09643.mat 16x1+24 1000.0(0)/mV 16 0 -29 15175 0 V6
# Age: 70
# Sex: Male
# Dx: 428750005,67741000119109,164889003
# Rx: Unknown
# Hx: Unknown