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

File: <base>/training/georgia/g5/E04512.hea (707 bytes) 
E04512 12 500 5000
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -9 -3030 0 I
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -29 -24561 0 II
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -19 -21816 0 III
E04512.mat 16x1+24 1000.0(0)/mV 16 0 19 13624 0 aVR
E04512.mat 16x1+24 1000.0(0)/mV 16 0 4 9329 0 aVL
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -24 -23085 0 aVF
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -9 28043 0 V1
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -165 19257 0 V2
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -58 29735 0 V3
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -48 24132 0 V4
E04512.mat 16x1+24 1000.0(0)/mV 16 0 -58 32487 0 V5
E04512.mat 16x1+24 1000.0(0)/mV 16 0 0 7946 0 V6
# Age: 64
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown