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

File: <base>/training/georgia/g10/E09178.hea (726 bytes) 
E09178 12 500 5000
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6636 0 I
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -126 19799 0 II
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -78 27679 0 III
E09178.mat 16x1+24 1000.0(0)/mV 16 0 87 26153 0 aVR
E09178.mat 16x1+24 1000.0(0)/mV 16 0 14 16300 0 aVL
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -102 23757 0 aVF
E09178.mat 16x1+24 1000.0(0)/mV 16 0 126 9277 0 V1
E09178.mat 16x1+24 1000.0(0)/mV 16 0 97 -2023 0 V2
E09178.mat 16x1+24 1000.0(0)/mV 16 0 9 19537 0 V3
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -19 288 0 V4
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -9 24270 0 V5
E09178.mat 16x1+24 1000.0(0)/mV 16 0 -117 22603 0 V6
# Age: 50
# Sex: Male
# Dx: 428417006,427393009,164873001
# Rx: Unknown
# Hx: Unknown