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

File: <base>/training/georgia/g9/E08832.hea (721 bytes) 
E08832 12 500 5000
E08832.mat 16x1+24 1000.0(0)/mV 16 0 -68 23195 0 I
E08832.mat 16x1+24 1000.0(0)/mV 16 0 -78 -2748 0 II
E08832.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25633 0 III
E08832.mat 16x1+24 1000.0(0)/mV 16 0 73 22493 0 aVR
E08832.mat 16x1+24 1000.0(0)/mV 16 0 -29 24438 0 aVL
E08832.mat 16x1+24 1000.0(0)/mV 16 0 -43 18519 0 aVF
E08832.mat 16x1+24 1000.0(0)/mV 16 0 58 -3952 0 V1
E08832.mat 16x1+24 1000.0(0)/mV 16 0 48 29718 0 V2
E08832.mat 16x1+24 1000.0(0)/mV 16 0 175 5380 0 V3
E08832.mat 16x1+24 1000.0(0)/mV 16 0 165 2138 0 V4
E08832.mat 16x1+24 1000.0(0)/mV 16 0 97 16225 0 V5
E08832.mat 16x1+24 1000.0(0)/mV 16 0 19 -10482 0 V6
# Age: 80
# Sex: Male
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown