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

File: <base>/training/georgia/g10/E09649.hea (728 bytes) 
E09649 12 500 5000
E09649.mat 16x1+24 1000.0(0)/mV 16 0 63 -27697 0 I
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -24 8585 0 II
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -87 -29153 0 III
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23474 0 aVR
E09649.mat 16x1+24 1000.0(0)/mV 16 0 75 651 0 aVL
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -56 22555 0 aVF
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -19 8828 0 V1
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -4 -13935 0 V2
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -131 32084 0 V3
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -112 5184 0 V4
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -73 1563 0 V5
E09649.mat 16x1+24 1000.0(0)/mV 16 0 -92 5624 0 V6
# Age: 80
# Sex: Male
# Dx: 425419005,426177001,164934002
# Rx: Unknown
# Hx: Unknown