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

File: <base>/training/georgia/g9/E08954.hea (711 bytes) 
E08954 12 500 5000
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -58 -15527 0 I
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21547 0 II
E08954.mat 16x1+24 1000.0(0)/mV 16 0 48 -6372 0 III
E08954.mat 16x1+24 1000.0(0)/mV 16 0 34 18612 0 aVR
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -53 -4413 0 aVL
E08954.mat 16x1+24 1000.0(0)/mV 16 0 19 -13168 0 aVF
E08954.mat 16x1+24 1000.0(0)/mV 16 0 0 -165 0 V1
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -102 260 0 V2
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -39 -10381 0 V3
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -43 -22121 0 V4
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11448 0 V5
E08954.mat 16x1+24 1000.0(0)/mV 16 0 -19 -25345 0 V6
# Age: 42
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown