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

File: <base>/training/georgia/g10/E09640.hea (729 bytes) 
E09640 12 500 5000
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -107 -29468 0 I
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -9 -22084 0 II
E09640.mat 16x1+24 1000.0(0)/mV 16 0 97 7441 0 III
E09640.mat 16x1+24 1000.0(0)/mV 16 0 58 -7257 0 aVR
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -102 14399 0 aVL
E09640.mat 16x1+24 1000.0(0)/mV 16 0 43 -7125 0 aVF
E09640.mat 16x1+24 1000.0(0)/mV 16 0 48 4140 0 V1
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29355 0 V2
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23432 0 V3
E09640.mat 16x1+24 1000.0(0)/mV 16 0 19 -26418 0 V4
E09640.mat 16x1+24 1000.0(0)/mV 16 0 19 -4518 0 V5
E09640.mat 16x1+24 1000.0(0)/mV 16 0 -9 -28993 0 V6
# Age: 74
# Sex: Male
# Dx: 17338001,164884008,428750005
# Rx: Unknown
# Hx: Unknown