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

File: <base>/training/georgia/g5/E04942.hea (725 bytes) 
E04942 12 500 5000
E04942.mat 16x1+24 1000.0(0)/mV 16 0 19 -15816 0 I
E04942.mat 16x1+24 1000.0(0)/mV 16 0 19 22133 0 II
E04942.mat 16x1+24 1000.0(0)/mV 16 0 0 -27905 0 III
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -19 29582 0 aVR
E04942.mat 16x1+24 1000.0(0)/mV 16 0 9 6247 0 aVL
E04942.mat 16x1+24 1000.0(0)/mV 16 0 9 29844 0 aVF
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -107 21006 0 V1
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -29 18618 0 V2
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -283 13162 0 V3
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -39 1221 0 V4
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -39 21864 0 V5
E04942.mat 16x1+24 1000.0(0)/mV 16 0 -29 28039 0 V6
# Age: 75
# Sex: Male
# Dx: 164889003,39732003,164934002
# Rx: Unknown
# Hx: Unknown