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

File: <base>/training/georgia/g5/E04954.hea (709 bytes) 
E04954 12 500 5000
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23175 0 I
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -48 1298 0 II
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -39 24896 0 III
E04954.mat 16x1+24 1000.0(0)/mV 16 0 29 10962 0 aVR
E04954.mat 16x1+24 1000.0(0)/mV 16 0 14 -23390 0 aVL
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -43 13215 0 aVF
E04954.mat 16x1+24 1000.0(0)/mV 16 0 9 -23987 0 V1
E04954.mat 16x1+24 1000.0(0)/mV 16 0 19 -22351 0 V2
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -19 24933 0 V3
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30477 0 V4
E04954.mat 16x1+24 1000.0(0)/mV 16 0 -9 28325 0 V5
E04954.mat 16x1+24 1000.0(0)/mV 16 0 9 32589 0 V6
# Age: 70
# Sex: Female
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown