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

File: <base>/training/georgia/g3/E02954.hea (758 bytes)
E02954 12 500 5000
E02954.mat 16x1+24 1000.0(0)/mV 16 0 253 -28514 0 I
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -117 30235 0 II
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -370 -6139 0 III
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -68 -916 0 aVR
E02954.mat 16x1+24 1000.0(0)/mV 16 0 312 -11199 0 aVL
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -244 11878 0 aVF
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -283 2145 0 V1
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -409 -8927 0 V2
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -517 -19253 0 V3
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -292 -27491 0 V4
E02954.mat 16x1+24 1000.0(0)/mV 16 0 -204 4472 0 V5
E02954.mat 16x1+24 1000.0(0)/mV 16 0 97 -22161 0 V6
# Age: 40
# Sex: Female
# Dx: 67741000119109,425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown