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

File: <base>/training/georgia/g1/E00904.hea (723 bytes) 
E00904 12 500 5000
E00904.mat 16x1+24 1000.0(0)/mV 16 0 29 -32026 0 I
E00904.mat 16x1+24 1000.0(0)/mV 16 0 -58 -17668 0 II
E00904.mat 16x1+24 1000.0(0)/mV 16 0 -87 14440 0 III
E00904.mat 16x1+24 1000.0(0)/mV 16 0 14 -8036 0 aVR
E00904.mat 16x1+24 1000.0(0)/mV 16 0 58 9271 0 aVL
E00904.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1675 0 aVF
E00904.mat 16x1+24 1000.0(0)/mV 16 0 19 -14275 0 V1
E00904.mat 16x1+24 1000.0(0)/mV 16 0 68 7137 0 V2
E00904.mat 16x1+24 1000.0(0)/mV 16 0 273 -2658 0 V3
E00904.mat 16x1+24 1000.0(0)/mV 16 0 9 -6918 0 V4
E00904.mat 16x1+24 1000.0(0)/mV 16 0 -9 26490 0 V5
E00904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23138 0 V6
# Age: 63
# Sex: Female
# Dx: 445211001,67741000119109
# Rx: Unknown
# Hx: Unknown