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

File: <base>/training/georgia/g10/E09962.hea (710 bytes) 
E09962 12 500 5000
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -39 10766 0 I
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20004 0 II
E09962.mat 16x1+24 1000.0(0)/mV 16 0 9 -30702 0 III
E09962.mat 16x1+24 1000.0(0)/mV 16 0 34 -28405 0 aVR
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -24 21253 0 aVL
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -9 7405 0 aVF
E09962.mat 16x1+24 1000.0(0)/mV 16 0 29 6287 0 V1
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -29 27720 0 V2
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4699 0 V3
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -58 6692 0 V4
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -58 -6824 0 V5
E09962.mat 16x1+24 1000.0(0)/mV 16 0 -29 -27277 0 V6
# Age: 59
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown