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

File: <base>/training/georgia/g6/E05924.hea (732 bytes) 
E05924 12 500 5000
E05924.mat 16x1+24 1000.0(0)/mV 16 0 19 -22739 0 I
E05924.mat 16x1+24 1000.0(0)/mV 16 0 29 -14244 0 II
E05924.mat 16x1+24 1000.0(0)/mV 16 0 9 9034 0 III
E05924.mat 16x1+24 1000.0(0)/mV 16 0 -24 18285 0 aVR
E05924.mat 16x1+24 1000.0(0)/mV 16 0 4 -15758 0 aVL
E05924.mat 16x1+24 1000.0(0)/mV 16 0 19 -2555 0 aVF
E05924.mat 16x1+24 1000.0(0)/mV 16 0 -39 -272 0 V1
E05924.mat 16x1+24 1000.0(0)/mV 16 0 -39 -9963 0 V2
E05924.mat 16x1+24 1000.0(0)/mV 16 0 19 27978 0 V3
E05924.mat 16x1+24 1000.0(0)/mV 16 0 29 23852 0 V4
E05924.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14147 0 V5
E05924.mat 16x1+24 1000.0(0)/mV 16 0 48 5342 0 V6
# Age: 77
# Sex: Male
# Dx: 59118001,426177001,425623009,164934002
# Rx: Unknown
# Hx: Unknown