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

File: <base>/training/georgia/g5/E04089.hea (758 bytes)
E04089 12 500 5000
E04089.mat 16x1+24 1000.0(0)/mV 16 0 117 17639 0 I
E04089.mat 16x1+24 1000.0(0)/mV 16 0 546 12254 0 II
E04089.mat 16x1+24 1000.0(0)/mV 16 0 429 -5012 0 III
E04089.mat 16x1+24 1000.0(0)/mV 16 0 -331 -14921 0 aVR
E04089.mat 16x1+24 1000.0(0)/mV 16 0 -156 11101 0 aVL
E04089.mat 16x1+24 1000.0(0)/mV 16 0 488 3560 0 aVF
E04089.mat 16x1+24 1000.0(0)/mV 16 0 -995 -31008 0 V1
E04089.mat 16x1+24 1000.0(0)/mV 16 0 -1737 7607 0 V2
E04089.mat 16x1+24 1000.0(0)/mV 16 0 -771 -8227 0 V3
E04089.mat 16x1+24 1000.0(0)/mV 16 0 136 12220 0 V4
E04089.mat 16x1+24 1000.0(0)/mV 16 0 546 -13396 0 V5
E04089.mat 16x1+24 1000.0(0)/mV 16 0 478 9250 0 V6
# Age: 58
# Sex: Male
# Dx: 698252002,270492004,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown