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

File: <base>/training/georgia/g6/E05115.hea (729 bytes) 
E05115 12 500 5000
E05115.mat 16x1+24 1000.0(0)/mV 16 0 58 11287 0 I
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -165 12820 0 II
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -224 736 0 III
E05115.mat 16x1+24 1000.0(0)/mV 16 0 53 20295 0 aVR
E05115.mat 16x1+24 1000.0(0)/mV 16 0 141 5425 0 aVL
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -195 -25922 0 aVF
E05115.mat 16x1+24 1000.0(0)/mV 16 0 39 127 0 V1
E05115.mat 16x1+24 1000.0(0)/mV 16 0 390 -12361 0 V2
E05115.mat 16x1+24 1000.0(0)/mV 16 0 68 18731 0 V3
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2805 0 V4
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -87 -30061 0 V5
E05115.mat 16x1+24 1000.0(0)/mV 16 0 -253 -6591 0 V6
# Age: 60
# Sex: Male
# Dx: 17338001,428750005,270492004
# Rx: Unknown
# Hx: Unknown