Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(745 bytes)
E04319 12 500 5000
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -48 29473 0 I
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -48 28346 0 II
E04319.mat 16x1+24 1000.0(0)/mV 16 0 0 -2005 0 III
E04319.mat 16x1+24 1000.0(0)/mV 16 0 48 -29077 0 aVR
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -24 -17130 0 aVL
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -24 -19997 0 aVF
E04319.mat 16x1+24 1000.0(0)/mV 16 0 9 -15358 0 V1
E04319.mat 16x1+24 1000.0(0)/mV 16 0 19 32634 0 V2
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31556 0 V3
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -48 -24318 0 V4
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20656 0 V5
E04319.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15871 0 V6
# Age: 85
# Sex: Female
# Dx: 428750005,59931005,284470004,284470004
# Rx: Unknown
# Hx: Unknown