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

File: <base>/training/georgia/g10/E09501.hea (727 bytes) 
E09501 12 500 5000
E09501.mat 16x1+24 1000.0(0)/mV 16 0 478 2130 0 I
E09501.mat 16x1+24 1000.0(0)/mV 16 0 439 -5910 0 II
E09501.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7879 0 III
E09501.mat 16x1+24 1000.0(0)/mV 16 0 -458 -30840 0 aVR
E09501.mat 16x1+24 1000.0(0)/mV 16 0 258 5079 0 aVL
E09501.mat 16x1+24 1000.0(0)/mV 16 0 200 25857 0 aVF
E09501.mat 16x1+24 1000.0(0)/mV 16 0 -58 27199 0 V1
E09501.mat 16x1+24 1000.0(0)/mV 16 0 48 -27643 0 V2
E09501.mat 16x1+24 1000.0(0)/mV 16 0 400 -21116 0 V3
E09501.mat 16x1+24 1000.0(0)/mV 16 0 448 -15909 0 V4
E09501.mat 16x1+24 1000.0(0)/mV 16 0 595 17326 0 V5
E09501.mat 16x1+24 1000.0(0)/mV 16 0 605 -30123 0 V6
# Age: 43
# Sex: Female
# Dx: 428750005,427084000
# Rx: Unknown
# Hx: Unknown