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

File: <base>/training/georgia/g6/E05629.hea (715 bytes)
E05629 12 500 5000
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -234 9049 0 I
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -224 -3315 0 II
E05629.mat 16x1+24 1000.0(0)/mV 16 0 9 -11801 0 III
E05629.mat 16x1+24 1000.0(0)/mV 16 0 229 29913 0 aVR
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -122 -21605 0 aVL
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -107 -7247 0 aVF
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -48 4721 0 V1
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -87 130 0 V2
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -107 -5138 0 V3
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -97 -10102 0 V4
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -78 3050 0 V5
E05629.mat 16x1+24 1000.0(0)/mV 16 0 -126 7389 0 V6
# Age: 40
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown