Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(717 bytes)
E02882 12 500 5000
E02882.mat 16x1+24 1000.0(0)/mV 16 0 9 21440 0 I
E02882.mat 16x1+24 1000.0(0)/mV 16 0 68 -25118 0 II
E02882.mat 16x1+24 1000.0(0)/mV 16 0 58 18083 0 III
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30898 0 aVR
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -24 1788 0 aVL
E02882.mat 16x1+24 1000.0(0)/mV 16 0 63 29250 0 aVF
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -78 31090 0 V1
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -146 -28268 0 V2
E02882.mat 16x1+24 1000.0(0)/mV 16 0 39 -29465 0 V3
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -107 10372 0 V4
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -78 25068 0 V5
E02882.mat 16x1+24 1000.0(0)/mV 16 0 -146 25643 0 V6
# Age: 43
# Sex: Male
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown