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

File: <base>/training/georgia/g10/E09801.hea (712 bytes) 
E09801 12 500 5000
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -97 -2566 0 I
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -19 4099 0 II
E09801.mat 16x1+24 1000.0(0)/mV 16 0 78 6903 0 III
E09801.mat 16x1+24 1000.0(0)/mV 16 0 58 -806 0 aVR
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -87 -4281 0 aVL
E09801.mat 16x1+24 1000.0(0)/mV 16 0 29 5581 0 aVF
E09801.mat 16x1+24 1000.0(0)/mV 16 0 58 26084 0 V1
E09801.mat 16x1+24 1000.0(0)/mV 16 0 9 22939 0 V2
E09801.mat 16x1+24 1000.0(0)/mV 16 0 0 24457 0 V3
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -29 31358 0 V4
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24600 0 V5
E09801.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23743 0 V6
# Age: 79
# Sex: Male
# Dx: 164873001,111975006
# Rx: Unknown
# Hx: Unknown