Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g6/E05959.hea (724 bytes)
E05959 12 500 5000
E05959.mat 16x1+24 1000.0(0)/mV 16 0 58 20984 0 I
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -97 -7677 0 II
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -156 -27617 0 III
E05959.mat 16x1+24 1000.0(0)/mV 16 0 19 -6582 0 aVR
E05959.mat 16x1+24 1000.0(0)/mV 16 0 107 -8894 0 aVL
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -126 15049 0 aVF
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -507 -8651 0 V1
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -283 -27492 0 V2
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -312 -27040 0 V3
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -3289 30565 0 V4
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -585 17041 0 V5
E05959.mat 16x1+24 1000.0(0)/mV 16 0 -2859 -28782 0 V6
# Age: 83
# Sex: Male
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown