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

File: <base>/training/georgia/g5/E04963.hea (732 bytes) 
E04963 12 500 5000
E04963.mat 16x1+24 1000.0(0)/mV 16 0 0 3463 0 I
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -234 -31699 0 II
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -234 30143 0 III
E04963.mat 16x1+24 1000.0(0)/mV 16 0 117 13942 0 aVR
E04963.mat 16x1+24 1000.0(0)/mV 16 0 117 19120 0 aVL
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -234 32195 0 aVF
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -136 -12115 0 V1
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -165 15823 0 V2
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -575 -774 0 V3
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -653 -23717 0 V4
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -566 13829 0 V5
E04963.mat 16x1+24 1000.0(0)/mV 16 0 -468 -11236 0 V6
# Age: 34
# Sex: Female
# Dx: 59118001,164934002
# Rx: Unknown
# Hx: Unknown