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

File: <base>/training/georgia/g1/E00844.hea (715 bytes) 
E00844 12 500 5000
E00844.mat 16x1+24 1000.0(0)/mV 16 0 87 27024 0 I
E00844.mat 16x1+24 1000.0(0)/mV 16 0 68 29369 0 II
E00844.mat 16x1+24 1000.0(0)/mV 16 0 -19 2103 0 III
E00844.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28481 0 aVR
E00844.mat 16x1+24 1000.0(0)/mV 16 0 53 -20163 0 aVL
E00844.mat 16x1+24 1000.0(0)/mV 16 0 24 -17011 0 aVF
E00844.mat 16x1+24 1000.0(0)/mV 16 0 -9 26341 0 V1
E00844.mat 16x1+24 1000.0(0)/mV 16 0 97 23259 0 V2
E00844.mat 16x1+24 1000.0(0)/mV 16 0 19 22709 0 V3
E00844.mat 16x1+24 1000.0(0)/mV 16 0 19 31867 0 V4
E00844.mat 16x1+24 1000.0(0)/mV 16 0 87 8514 0 V5
E00844.mat 16x1+24 1000.0(0)/mV 16 0 58 14036 0 V6
# Age: 66
# Sex: Female
# Dx: 164873001,428750005
# Rx: Unknown
# Hx: Unknown