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

File: <base>/training/georgia/g5/E04192.hea (710 bytes) 
E04192 12 500 5000
E04192.mat 16x1+24 1000.0(0)/mV 16 0 -48 -32056 0 I
E04192.mat 16x1+24 1000.0(0)/mV 16 0 -48 -5758 0 II
E04192.mat 16x1+24 1000.0(0)/mV 16 0 0 25522 0 III
E04192.mat 16x1+24 1000.0(0)/mV 16 0 48 18706 0 aVR
E04192.mat 16x1+24 1000.0(0)/mV 16 0 -24 -27953 0 aVL
E04192.mat 16x1+24 1000.0(0)/mV 16 0 -24 10228 0 aVF
E04192.mat 16x1+24 1000.0(0)/mV 16 0 19 -16429 0 V1
E04192.mat 16x1+24 1000.0(0)/mV 16 0 -29 16535 0 V2
E04192.mat 16x1+24 1000.0(0)/mV 16 0 58 31677 0 V3
E04192.mat 16x1+24 1000.0(0)/mV 16 0 68 -14790 0 V4
E04192.mat 16x1+24 1000.0(0)/mV 16 0 117 -24560 0 V5
E04192.mat 16x1+24 1000.0(0)/mV 16 0 0 -22573 0 V6
# Age: 61
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown