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

File: <base>/training/st_petersburg_incart/g1/I0042.hea (753 bytes) 
I0042 12 257 462600
I0042.mat 16x1+24 1000.0(0)/mv 16 0 841 358 0 I
I0042.mat 16x1+24 1000.0(0)/mv 16 0 3036 -25958 0 II
I0042.mat 16x1+24 1000.0(0)/mv 16 0 3068 -1862 0 III
I0042.mat 16x1+24 1000.0(0)/mv 16 0 -1502 -27064 0 aVR
I0042.mat 16x1+24 1000.0(0)/mv 16 0 -1253 24724 0 aVL
I0042.mat 16x1+24 1000.0(0)/mv 16 0 3050 26468 0 aVF
I0042.mat 16x1+24 1000.0(0)/mv 16 0 2078 17499 0 V1
I0042.mat 16x1+24 1000.0(0)/mv 16 0 1394 15174 0 V2
I0042.mat 16x1+24 1000.0(0)/mv 16 0 1063 -7058 0 V3
I0042.mat 16x1+24 1000.0(0)/mv 16 0 366 -15257 0 V4
I0042.mat 16x1+24 1000.0(0)/mv 16 0 964 8494 0 V5
I0042.mat 16x1+24 1000.0(0)/mv 16 0 1235 -15771 0 V6
# Age: 19
# Sex: M
# Dx: 11157007,251182009,425856008,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown