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

File: <base>/training/georgia/g5/E04915.hea (724 bytes) 
E04915 12 500 5000
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -92 -29204 0 I
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -82 18311 0 II
E04915.mat 16x1+24 1000.0(0)/mV 16 0 9 -18320 0 III
E04915.mat 16x1+24 1000.0(0)/mV 16 0 87 -27062 0 aVR
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -51 27525 0 aVL
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -36 335 0 aVF
E04915.mat 16x1+24 1000.0(0)/mV 16 0 87 11669 0 V1
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -29 24971 0 V2
E04915.mat 16x1+24 1000.0(0)/mV 16 0 87 4901 0 V3
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -48 7709 0 V4
E04915.mat 16x1+24 1000.0(0)/mV 16 0 53 18293 0 V5
E04915.mat 16x1+24 1000.0(0)/mV 16 0 -43 10825 0 V6
# Age: 71
# Sex: Male
# Dx: 270492004,39732003,164873001
# Rx: Unknown
# Hx: Unknown