Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(759 bytes)
E06316 12 500 5000
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4597 0 I
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -48 15769 0 II
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -39 20066 0 III
E06316.mat 16x1+24 1000.0(0)/mV 16 0 29 -5668 0 aVR
E06316.mat 16x1+24 1000.0(0)/mV 16 0 14 -12154 0 aVL
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -43 17962 0 aVF
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -29 -8578 0 V1
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -9 13649 0 V2
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -48 -24471 0 V3
E06316.mat 16x1+24 1000.0(0)/mV 16 0 97 5524 0 V4
E06316.mat 16x1+24 1000.0(0)/mV 16 0 400 -11720 0 V5
E06316.mat 16x1+24 1000.0(0)/mV 16 0 -9 -10468 0 V6
# Age: 83
# Sex: Male
# Dx: 270492004,426177001,425623009,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown