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

File: <base>/training/georgia/g1/E00958.hea (715 bytes) 
E00958 12 500 5000
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -58 1000 0 I
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -253 -10397 0 II
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -195 -10677 0 III
E00958.mat 16x1+24 1000.0(0)/mV 16 0 156 4623 0 aVR
E00958.mat 16x1+24 1000.0(0)/mV 16 0 68 5142 0 aVL
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -224 -10601 0 aVF
E00958.mat 16x1+24 1000.0(0)/mV 16 0 97 -15877 0 V1
E00958.mat 16x1+24 1000.0(0)/mV 16 0 0 29279 0 V2
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -263 11161 0 V3
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -224 32022 0 V4
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -175 8452 0 V5
E00958.mat 16x1+24 1000.0(0)/mV 16 0 -136 24342 0 V6
# Age: 47
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown