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

File: <base>/training/georgia/g6/E05949.hea (725 bytes) 
E05949 12 500 5000
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -29 7591 0 I
E05949.mat 16x1+24 1000.0(0)/mV 16 0 9 -7411 0 II
E05949.mat 16x1+24 1000.0(0)/mV 16 0 39 -15602 0 III
E05949.mat 16x1+24 1000.0(0)/mV 16 0 9 -179 0 aVR
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -34 11747 0 aVL
E05949.mat 16x1+24 1000.0(0)/mV 16 0 24 -11118 0 aVF
E05949.mat 16x1+24 1000.0(0)/mV 16 0 117 -31781 0 V1
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -126 -25104 0 V2
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -175 -9251 0 V3
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -48 -17775 0 V4
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21873 0 V5
E05949.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30142 0 V6
# Age: 60
# Sex: Female
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown