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

File: <base>/training/georgia/g5/E04803.hea (720 bytes) 
E04803 12 500 5000
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -68 -25761 0 I
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -87 27051 0 II
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -19 -13328 0 III
E04803.mat 16x1+24 1000.0(0)/mV 16 0 78 32091 0 aVR
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -24 26561 0 aVL
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -53 7166 0 aVF
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -29 -13141 0 V1
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23953 0 V2
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -126 -5699 0 V3
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -253 16711 0 V4
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -107 -14142 0 V5
E04803.mat 16x1+24 1000.0(0)/mV 16 0 -165 -16058 0 V6
# Age: 56
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown