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

File: <base>/training/georgia/g1/E00942.hea (751 bytes) 
E00942 12 500 5000
E00942.mat 16x1+24 1000.0(0)/mV 16 0 48 15669 0 I
E00942.mat 16x1+24 1000.0(0)/mV 16 0 185 -6843 0 II
E00942.mat 16x1+24 1000.0(0)/mV 16 0 136 -22563 0 III
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -117 -4475 0 aVR
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -43 -13552 0 aVL
E00942.mat 16x1+24 1000.0(0)/mV 16 0 161 17946 0 aVF
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -175 -22508 0 V1
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -214 -29542 0 V2
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -312 21871 0 V3
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -253 -13212 0 V4
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -78 28372 0 V5
E00942.mat 16x1+24 1000.0(0)/mV 16 0 -9 -24102 0 V6
# Age: 53
# Sex: Male
# Dx: 164873001,425623009,427393009,164917005
# Rx: Unknown
# Hx: Unknown