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

File: <base>/training/georgia/g10/E09910.hea (738 bytes) 
E09910 12 500 5000
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -165 10917 0 I
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -302 -17684 0 II
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -136 -29213 0 III
E09910.mat 16x1+24 1000.0(0)/mV 16 0 234 3394 0 aVR
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -14 20095 0 aVL
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -219 -23420 0 aVF
E09910.mat 16x1+24 1000.0(0)/mV 16 0 595 32295 0 V1
E09910.mat 16x1+24 1000.0(0)/mV 16 0 488 8994 0 V2
E09910.mat 16x1+24 1000.0(0)/mV 16 0 234 -1144 0 V3
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -87 -15198 0 V4
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -136 7325 0 V5
E09910.mat 16x1+24 1000.0(0)/mV 16 0 -195 20553 0 V6
# Age: 66
# Sex: Male
# Dx: 59118001,426177001,425623009
# Rx: Unknown
# Hx: Unknown