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

File: <base>/training/georgia/g10/E09735.hea (721 bytes) 
E09735 12 500 5000
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -78 -23424 0 I
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -58 -31151 0 II
E09735.mat 16x1+24 1000.0(0)/mV 16 0 19 -8308 0 III
E09735.mat 16x1+24 1000.0(0)/mV 16 0 68 27201 0 aVR
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -48 -7548 0 aVL
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -19 -19270 0 aVF
E09735.mat 16x1+24 1000.0(0)/mV 16 0 48 13122 0 V1
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -39 22103 0 V2
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -68 25122 0 V3
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -68 27313 0 V4
E09735.mat 16x1+24 1000.0(0)/mV 16 0 19 -7816 0 V5
E09735.mat 16x1+24 1000.0(0)/mV 16 0 -48 25621 0 V6
# Age: 49
# Sex: Male
# Dx: 111975006,164930006
# Rx: Unknown
# Hx: Unknown