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

File: <base>/training/georgia/g5/E04906.hea (713 bytes) 
E04906 12 500 5000
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -39 -20873 0 I
E04906.mat 16x1+24 1000.0(0)/mV 16 0 9 -17300 0 II
E04906.mat 16x1+24 1000.0(0)/mV 16 0 48 3575 0 III
E04906.mat 16x1+24 1000.0(0)/mV 16 0 14 19059 0 aVR
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -43 -12170 0 aVL
E04906.mat 16x1+24 1000.0(0)/mV 16 0 29 -6745 0 aVF
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -19 -27937 0 V1
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -458 30881 0 V2
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14476 0 V3
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -39 -7977 0 V4
E04906.mat 16x1+24 1000.0(0)/mV 16 0 9 31977 0 V5
E04906.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17091 0 V6
# Age: 38
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown