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

File: <base>/training/georgia/g10/E09648.hea (711 bytes) 
E09648 12 500 5000
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -48 -28271 0 I
E09648.mat 16x1+24 1000.0(0)/mV 16 0 0 -12211 0 II
E09648.mat 16x1+24 1000.0(0)/mV 16 0 48 16468 0 III
E09648.mat 16x1+24 1000.0(0)/mV 16 0 24 -12263 0 aVR
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22561 0 aVL
E09648.mat 16x1+24 1000.0(0)/mV 16 0 24 -30573 0 aVF
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -39 25424 0 V1
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -97 15360 0 V2
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -97 -12690 0 V3
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -48 25873 0 V4
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -29 25580 0 V5
E09648.mat 16x1+24 1000.0(0)/mV 16 0 -9 24731 0 V6
# Age: 62
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown