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

File: <base>/training/georgia/g2/E01838.hea (715 bytes) 
E01838 12 500 5000
E01838.mat 16x1+24 1000.0(0)/mV 16 0 9 -13595 0 I
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -97 8549 0 II
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -107 22502 0 III
E01838.mat 16x1+24 1000.0(0)/mV 16 0 43 2395 0 aVR
E01838.mat 16x1+24 1000.0(0)/mV 16 0 58 -17928 0 aVL
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -102 15432 0 aVF
E01838.mat 16x1+24 1000.0(0)/mV 16 0 39 -3877 0 V1
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20398 0 V2
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -87 24365 0 V3
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -244 7243 0 V4
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -78 -27323 0 V5
E01838.mat 16x1+24 1000.0(0)/mV 16 0 -146 -10401 0 V6
# Age: 60
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown