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

File: <base>/training/georgia/g10/E09516.hea (758 bytes) 
E09516 12 500 5000
E09516.mat 16x1+24 1000.0(0)/mV 16 0 971 1377 0 I
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -273 4117 0 II
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -1244 2327 0 III
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -348 30224 0 aVR
E09516.mat 16x1+24 1000.0(0)/mV 16 0 1107 -32759 0 aVL
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -758 3363 0 aVF
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -1166 21851 0 V1
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -161 -7154 0 V2
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -1493 -2619 0 V3
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -1107 7650 0 V4
E09516.mat 16x1+24 1000.0(0)/mV 16 0 -380 -4461 0 V5
E09516.mat 16x1+24 1000.0(0)/mV 16 0 263 -31840 0 V6
# Age: 78
# Sex: Male
# Dx: 428750005,164873001,67741000119109,427084000
# Rx: Unknown
# Hx: Unknown