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

File: <base>/training/georgia/g6/E05654.hea (724 bytes) 
E05654 12 500 5000
E05654.mat 16x1+24 1000.0(0)/mV 16 0 -19 -24290 0 I
E05654.mat 16x1+24 1000.0(0)/mV 16 0 19 7201 0 II
E05654.mat 16x1+24 1000.0(0)/mV 16 0 39 32033 0 III
E05654.mat 16x1+24 1000.0(0)/mV 16 0 0 8888 0 aVR
E05654.mat 16x1+24 1000.0(0)/mV 16 0 -29 4855 0 aVL
E05654.mat 16x1+24 1000.0(0)/mV 16 0 29 -13220 0 aVF
E05654.mat 16x1+24 1000.0(0)/mV 16 0 322 16716 0 V1
E05654.mat 16x1+24 1000.0(0)/mV 16 0 507 19580 0 V2
E05654.mat 16x1+24 1000.0(0)/mV 16 0 458 21487 0 V3
E05654.mat 16x1+24 1000.0(0)/mV 16 0 273 10003 0 V4
E05654.mat 16x1+24 1000.0(0)/mV 16 0 117 20578 0 V5
E05654.mat 16x1+24 1000.0(0)/mV 16 0 68 18004 0 V6
# Age: 80
# Sex: Male
# Dx: 698252002,251120003,39732003
# Rx: Unknown
# Hx: Unknown