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

File: <base>/training/georgia/g10/E09832.hea (743 bytes) 
E09832 12 500 5000
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -214 -25145 0 I
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -561 8193 0 II
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -346 -32029 0 III
E09832.mat 16x1+24 1000.0(0)/mV 16 0 387 8455 0 aVR
E09832.mat 16x1+24 1000.0(0)/mV 16 0 65 -29343 0 aVL
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -453 20955 0 aVF
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -14 -23805 0 V1
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -551 12776 0 V2
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -1424 12719 0 V3
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -932 -29580 0 V4
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -736 32266 0 V5
E09832.mat 16x1+24 1000.0(0)/mV 16 0 -429 -12889 0 V6
# Age: 69
# Sex: Male
# Dx: 89792004,266249003,47665007
# Rx: Unknown
# Hx: Unknown