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

File: <base>/training/georgia/g5/E04832.hea (724 bytes) 
E04832 12 500 5000
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -39 30333 0 I
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -29 28154 0 II
E04832.mat 16x1+24 1000.0(0)/mV 16 0 9 -1923 0 III
E04832.mat 16x1+24 1000.0(0)/mV 16 0 34 3171 0 aVR
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -24 16139 0 aVL
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -9 -19784 0 aVF
E04832.mat 16x1+24 1000.0(0)/mV 16 0 19 5940 0 V1
E04832.mat 16x1+24 1000.0(0)/mV 16 0 107 2216 0 V2
E04832.mat 16x1+24 1000.0(0)/mV 16 0 97 -16694 0 V3
E04832.mat 16x1+24 1000.0(0)/mV 16 0 58 25157 0 V4
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -29 20723 0 V5
E04832.mat 16x1+24 1000.0(0)/mV 16 0 -97 -23110 0 V6
# Age: 59
# Sex: Male
# Dx: 428750005,59931005,164934002
# Rx: Unknown
# Hx: Unknown