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

File: <base>/training/georgia/g10/E09630.hea (717 bytes) 
E09630 12 500 5000
E09630.mat 16x1+24 1000.0(0)/mV 16 0 -200 28226 0 I
E09630.mat 16x1+24 1000.0(0)/mV 16 0 439 13643 0 II
E09630.mat 16x1+24 1000.0(0)/mV 16 0 639 -13950 0 III
E09630.mat 16x1+24 1000.0(0)/mV 16 0 -119 -20964 0 aVR
E09630.mat 16x1+24 1000.0(0)/mV 16 0 -419 19938 0 aVL
E09630.mat 16x1+24 1000.0(0)/mV 16 0 539 -237 0 aVF
E09630.mat 16x1+24 1000.0(0)/mV 16 0 -43 -13582 0 V1
E09630.mat 16x1+24 1000.0(0)/mV 16 0 -658 -9660 0 V2
E09630.mat 16x1+24 1000.0(0)/mV 16 0 82 834 0 V3
E09630.mat 16x1+24 1000.0(0)/mV 16 0 702 18937 0 V4
E09630.mat 16x1+24 1000.0(0)/mV 16 0 741 -29261 0 V5
E09630.mat 16x1+24 1000.0(0)/mV 16 0 546 8637 0 V6
# Age: 21
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown