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

File: <base>/training/georgia/g2/E01623.hea (734 bytes)
E01623 12 500 5000
E01623.mat 16x1+24 1000.0(0)/mV 16 0 58 -21437 0 I
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -87 9583 0 II
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -146 31525 0 III
E01623.mat 16x1+24 1000.0(0)/mV 16 0 14 5958 0 aVR
E01623.mat 16x1+24 1000.0(0)/mV 16 0 102 -26681 0 aVL
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -117 20908 0 aVF
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -136 27870 0 V1
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23172 0 V2
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -107 -15010 0 V3
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -97 -1171 0 V4
E01623.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10482 0 V5
E01623.mat 16x1+24 1000.0(0)/mV 16 0 0 -9633 0 V6
# Age: 63
# Sex: Male
# Dx: 713426002,89792004,164934002
# Rx: Unknown
# Hx: Unknown