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

File: <base>/training/georgia/g10/E09945.hea (701 bytes) 
E09945 12 500 5000
E09945.mat 16x1+24 1000.0(0)/mV 16 0 -58 7085 0 I
E09945.mat 16x1+24 1000.0(0)/mV 16 0 0 17191 0 II
E09945.mat 16x1+24 1000.0(0)/mV 16 0 58 10154 0 III
E09945.mat 16x1+24 1000.0(0)/mV 16 0 29 20253 0 aVR
E09945.mat 16x1+24 1000.0(0)/mV 16 0 -58 -1414 0 aVL
E09945.mat 16x1+24 1000.0(0)/mV 16 0 29 -19240 0 aVF
E09945.mat 16x1+24 1000.0(0)/mV 16 0 58 -1687 0 V1
E09945.mat 16x1+24 1000.0(0)/mV 16 0 19 -2978 0 V2
E09945.mat 16x1+24 1000.0(0)/mV 16 0 48 8493 0 V3
E09945.mat 16x1+24 1000.0(0)/mV 16 0 -29 15271 0 V4
E09945.mat 16x1+24 1000.0(0)/mV 16 0 -9 1398 0 V5
E09945.mat 16x1+24 1000.0(0)/mV 16 0 -39 -5467 0 V6
# Age: 68
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown