Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(702 bytes)
A1622 12 500 10000
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -30 2884 0 I
A1622.mat 16x1+24 1000.0(0)/mV 16 0 28 983 0 II
A1622.mat 16x1+24 1000.0(0)/mV 16 0 58 -1901 0 III
A1622.mat 16x1+24 1000.0(0)/mV 16 0 1 -3412 0 aVR
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -44 -1548 0 aVL
A1622.mat 16x1+24 1000.0(0)/mV 16 0 43 2433 0 aVF
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -27 -2934 0 V1
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -88 2387 0 V2
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -70 -27 0 V3
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -109 -2137 0 V4
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -56 -2625 0 V5
A1622.mat 16x1+24 1000.0(0)/mV 16 0 -98 1302 0 V6
# Age: 73
# Sex: Male
# Dx: 164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown