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

File: <base>/training/georgia/g3/E02932.hea (724 bytes) 
E02932 12 500 5000
E02932.mat 16x1+24 1000.0(0)/mV 16 0 19 -28620 0 I
E02932.mat 16x1+24 1000.0(0)/mV 16 0 87 -11909 0 II
E02932.mat 16x1+24 1000.0(0)/mV 16 0 68 16261 0 III
E02932.mat 16x1+24 1000.0(0)/mV 16 0 -53 20303 0 aVR
E02932.mat 16x1+24 1000.0(0)/mV 16 0 -24 -21882 0 aVL
E02932.mat 16x1+24 1000.0(0)/mV 16 0 78 2367 0 aVF
E02932.mat 16x1+24 1000.0(0)/mV 16 0 -53 -22111 0 V1
E02932.mat 16x1+24 1000.0(0)/mV 16 0 -43 -1990 0 V2
E02932.mat 16x1+24 1000.0(0)/mV 16 0 53 26212 0 V3
E02932.mat 16x1+24 1000.0(0)/mV 16 0 92 24205 0 V4
E02932.mat 16x1+24 1000.0(0)/mV 16 0 126 1215 0 V5
E02932.mat 16x1+24 1000.0(0)/mV 16 0 122 -30792 0 V6
# Age: 38
# Sex: Male
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown