Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E08429 12 500 5000
E08429.mat 16x1+24 1000.0(0)/mV 16 0 78 2462 0 I
E08429.mat 16x1+24 1000.0(0)/mV 16 0 78 -3936 0 II
E08429.mat 16x1+24 1000.0(0)/mV 16 0 0 -7170 0 III
E08429.mat 16x1+24 1000.0(0)/mV 16 0 -78 567 0 aVR
E08429.mat 16x1+24 1000.0(0)/mV 16 0 39 4978 0 aVL
E08429.mat 16x1+24 1000.0(0)/mV 16 0 39 -5544 0 aVF
E08429.mat 16x1+24 1000.0(0)/mV 16 0 -39 31398 0 V1
E08429.mat 16x1+24 1000.0(0)/mV 16 0 107 -15709 0 V2
E08429.mat 16x1+24 1000.0(0)/mV 16 0 117 8343 0 V3
E08429.mat 16x1+24 1000.0(0)/mV 16 0 195 -23879 0 V4
E08429.mat 16x1+24 1000.0(0)/mV 16 0 126 -10260 0 V5
E08429.mat 16x1+24 1000.0(0)/mV 16 0 58 -23666 0 V6
# Age: 65
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown