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

File: <base>/training/georgia/g1/E00549.hea (761 bytes)
E00549 12 500 5000
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -97 -26172 0 I
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -117 22407 0 II
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16428 0 III
E00549.mat 16x1+24 1000.0(0)/mV 16 0 107 2022 0 aVR
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -39 28050 0 aVL
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -68 -29557 0 aVF
E00549.mat 16x1+24 1000.0(0)/mV 16 0 58 15704 0 V1
E00549.mat 16x1+24 1000.0(0)/mV 16 0 0 5586 0 V2
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -117 -18000 0 V3
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -175 6605 0 V4
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -263 28755 0 V5
E00549.mat 16x1+24 1000.0(0)/mV 16 0 -224 -11499 0 V6
# Age: 69
# Sex: Male
# Dx: 428750005,67741000119109,427084000,164934002,111975006
# Rx: Unknown
# Hx: Unknown