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

File: <base>/training/georgia/g6/E05954.hea (727 bytes) 
E05954 12 500 5000
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -68 -5280 0 I
E05954.mat 16x1+24 1000.0(0)/mV 16 0 68 -30837 0 II
E05954.mat 16x1+24 1000.0(0)/mV 16 0 136 -25616 0 III
E05954.mat 16x1+24 1000.0(0)/mV 16 0 0 -15038 0 aVR
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -102 -22520 0 aVL
E05954.mat 16x1+24 1000.0(0)/mV 16 0 102 -28679 0 aVF
E05954.mat 16x1+24 1000.0(0)/mV 16 0 87 11965 0 V1
E05954.mat 16x1+24 1000.0(0)/mV 16 0 19 -14390 0 V2
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21036 0 V3
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -136 22430 0 V4
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -117 -18684 0 V5
E05954.mat 16x1+24 1000.0(0)/mV 16 0 -78 6337 0 V6
# Age: 62
# Sex: Male
# Dx: 698252002,426177001
# Rx: Unknown
# Hx: Unknown