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

File: <base>/training/georgia/g1/E00915.hea (707 bytes) 
E00915 12 500 2500
E00915.mat 16x1+24 1000.0(0)/mV 16 0 -14 -4212 0 I
E00915.mat 16x1+24 1000.0(0)/mV 16 0 -43 -21887 0 II
E00915.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17629 0 III
E00915.mat 16x1+24 1000.0(0)/mV 16 0 29 13062 0 aVR
E00915.mat 16x1+24 1000.0(0)/mV 16 0 7 7030 0 aVL
E00915.mat 16x1+24 1000.0(0)/mV 16 0 -36 -19550 0 aVF
E00915.mat 16x1+24 1000.0(0)/mV 16 0 -107 -24625 0 V1
E00915.mat 16x1+24 1000.0(0)/mV 16 0 43 5211 0 V2
E00915.mat 16x1+24 1000.0(0)/mV 16 0 43 9549 0 V3
E00915.mat 16x1+24 1000.0(0)/mV 16 0 53 23788 0 V4
E00915.mat 16x1+24 1000.0(0)/mV 16 0 53 -24911 0 V5
E00915.mat 16x1+24 1000.0(0)/mV 16 0 48 23815 0 V6
# Age: 51
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown