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

File: <base>/training/georgia/g10/E09327.hea (718 bytes) 
E09327 12 500 5000
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -68 13040 0 I
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -92 -18605 0 II
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -24 -31479 0 III
E09327.mat 16x1+24 1000.0(0)/mV 16 0 80 2915 0 aVR
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -21 -10354 0 aVL
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -58 7940 0 aVF
E09327.mat 16x1+24 1000.0(0)/mV 16 0 14 6980 0 V1
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -14 8867 0 V2
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -53 -30251 0 V3
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -87 25792 0 V4
E09327.mat 16x1+24 1000.0(0)/mV 16 0 -78 16746 0 V5
E09327.mat 16x1+24 1000.0(0)/mV 16 0 9 12992 0 V6
# Age: 71
# Sex: Male
# Dx: 164884008,111975006
# Rx: Unknown
# Hx: Unknown