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

File: <base>/training/georgia/g1/E00885.hea (737 bytes) 
E00885 12 500 5000
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -97 31904 0 I
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -146 26230 0 II
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5393 0 III
E00885.mat 16x1+24 1000.0(0)/mV 16 0 122 -29309 0 aVR
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -24 -13954 0 aVL
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -97 -22491 0 aVF
E00885.mat 16x1+24 1000.0(0)/mV 16 0 48 8342 0 V1
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -19 17380 0 V2
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -68 5301 0 V3
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -146 -14835 0 V4
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -136 18499 0 V5
E00885.mat 16x1+24 1000.0(0)/mV 16 0 -107 32610 0 V6
# Age: 52
# Sex: Male
# Dx: 164873001,425419005,164917005
# Rx: Unknown
# Hx: Unknown