Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
E04199 12 500 5000
E04199.mat 16x1+24 1000.0(0)/mV 16 0 -48 -20024 0 I
E04199.mat 16x1+24 1000.0(0)/mV 16 0 9 15492 0 II
E04199.mat 16x1+24 1000.0(0)/mV 16 0 58 -30237 0 III
E04199.mat 16x1+24 1000.0(0)/mV 16 0 19 2022 0 aVR
E04199.mat 16x1+24 1000.0(0)/mV 16 0 -53 -27513 0 aVL
E04199.mat 16x1+24 1000.0(0)/mV 16 0 34 24940 0 aVF
E04199.mat 16x1+24 1000.0(0)/mV 16 0 97 29082 0 V1
E04199.mat 16x1+24 1000.0(0)/mV 16 0 68 -23580 0 V2
E04199.mat 16x1+24 1000.0(0)/mV 16 0 48 -4722 0 V3
E04199.mat 16x1+24 1000.0(0)/mV 16 0 9 -3055 0 V4
E04199.mat 16x1+24 1000.0(0)/mV 16 0 29 -16789 0 V5
E04199.mat 16x1+24 1000.0(0)/mV 16 0 19 -14832 0 V6
# Age: 70
# Sex: Male
# Dx: 428750005,427393009
# Rx: Unknown
# Hx: Unknown