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

File: <base>/training/georgia/g5/E04935.hea (720 bytes) 
E04935 12 500 5000
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -14 29219 0 I
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -48 10259 0 II
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -34 -18436 0 III
E04935.mat 16x1+24 1000.0(0)/mV 16 0 31 13116 0 aVR
E04935.mat 16x1+24 1000.0(0)/mV 16 0 9 24006 0 aVL
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -41 28573 0 aVF
E04935.mat 16x1+24 1000.0(0)/mV 16 0 14 -28724 0 V1
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -24 -24841 0 V2
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -24 -8136 0 V3
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -146 1638 0 V4
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -29 9262 0 V5
E04935.mat 16x1+24 1000.0(0)/mV 16 0 -34 24358 0 V6
# Age: 60
# Sex: Male
# Dx: 284470004,284470004
# Rx: Unknown
# Hx: Unknown