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

File: <base>/training/georgia/g5/E04457.hea (707 bytes) 
E04457 12 500 5000
E04457.mat 16x1+24 1000.0(0)/mV 16 0 -68 -15649 0 I
E04457.mat 16x1+24 1000.0(0)/mV 16 0 19 14822 0 II
E04457.mat 16x1+24 1000.0(0)/mV 16 0 87 30676 0 III
E04457.mat 16x1+24 1000.0(0)/mV 16 0 24 -32392 0 aVR
E04457.mat 16x1+24 1000.0(0)/mV 16 0 -78 9847 0 aVL
E04457.mat 16x1+24 1000.0(0)/mV 16 0 53 22946 0 aVF
E04457.mat 16x1+24 1000.0(0)/mV 16 0 117 26509 0 V1
E04457.mat 16x1+24 1000.0(0)/mV 16 0 136 23188 0 V2
E04457.mat 16x1+24 1000.0(0)/mV 16 0 126 19619 0 V3
E04457.mat 16x1+24 1000.0(0)/mV 16 0 78 -28161 0 V4
E04457.mat 16x1+24 1000.0(0)/mV 16 0 29 -30232 0 V5
E04457.mat 16x1+24 1000.0(0)/mV 16 0 9 16840 0 V6
# Age: 50
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown