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

File: <base>/training/st_petersburg_incart/g1/I0054.hea (755 bytes)
I0054 12 257 462600
I0054.mat 16x1+24 1000.0(0)/mv 16 0 3074 -1519 0 I
I0054.mat 16x1+24 1000.0(0)/mv 16 0 4405 -1714 0 II
I0054.mat 16x1+24 1000.0(0)/mv 16 0 2356 -18592 0 III
I0054.mat 16x1+24 1000.0(0)/mv 16 0 -3766 -5516 0 aVR
I0054.mat 16x1+24 1000.0(0)/mv 16 0 489 -15830 0 aVL
I0054.mat 16x1+24 1000.0(0)/mv 16 0 3172 -227 0 aVF
I0054.mat 16x1+24 1000.0(0)/mv 16 0 -2090 20245 0 V1
I0054.mat 16x1+24 1000.0(0)/mv 16 0 196 -1122 0 V2
I0054.mat 16x1+24 1000.0(0)/mv 16 0 1462 -7703 0 V3
I0054.mat 16x1+24 1000.0(0)/mv 16 0 261 17462 0 V4
I0054.mat 16x1+24 1000.0(0)/mv 16 0 658 -15807 0 V5
I0054.mat 16x1+24 1000.0(0)/mv 16 0 -2582 19940 0 V6
# Age: 74
# Sex: M
# Dx: 251182009,425856008,164865005,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown