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

File: <base>/training/georgia/g10/E09982.hea (758 bytes) 
E09982 12 500 5000
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -58 13984 0 I
E09982.mat 16x1+24 1000.0(0)/mV 16 0 39 3205 0 II
E09982.mat 16x1+24 1000.0(0)/mV 16 0 97 -10544 0 III
E09982.mat 16x1+24 1000.0(0)/mV 16 0 9 23744 0 aVR
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -78 12037 0 aVL
E09982.mat 16x1+24 1000.0(0)/mV 16 0 68 29027 0 aVF
E09982.mat 16x1+24 1000.0(0)/mV 16 0 9 -20452 0 V1
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -107 -1040 0 V2
E09982.mat 16x1+24 1000.0(0)/mV 16 0 39 5871 0 V3
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -175 -31061 0 V4
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -117 -14694 0 V5
E09982.mat 16x1+24 1000.0(0)/mV 16 0 -117 2670 0 V6
# Age: 71
# Sex: Male
# Dx: 426177001,59931005,427393009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown