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

File: <base>/training/cpsc_2018/g5/A4937.hea (709 bytes) 
A4937 12 500 11000
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -21 -1669 0 I
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -64 -436 0 II
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -43 1233 0 III
A4937.mat 16x1+24 1000.0(0)/mV 16 0 42 -5427 0 aVR
A4937.mat 16x1+24 1000.0(0)/mV 16 0 11 -527 0 aVL
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -54 -4272 0 aVF
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -71 -3383 0 V1
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -106 -3810 0 V2
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -198 5263 0 V3
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -175 -522 0 V4
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -85 4387 0 V5
A4937.mat 16x1+24 1000.0(0)/mV 16 0 -74 -5351 0 V6
# Age: 57
# Sex: Male
# Dx: 164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown