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

File: <base>/training/georgia/g3/E02904.hea (725 bytes) 
E02904 12 500 5000
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14813 0 I
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -68 -16215 0 II
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1125 0 III
E02904.mat 16x1+24 1000.0(0)/mV 16 0 48 15481 0 aVR
E02904.mat 16x1+24 1000.0(0)/mV 16 0 4 -6004 0 aVL
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -53 -8492 0 aVF
E02904.mat 16x1+24 1000.0(0)/mV 16 0 165 -14273 0 V1
E02904.mat 16x1+24 1000.0(0)/mV 16 0 39 517 0 V2
E02904.mat 16x1+24 1000.0(0)/mV 16 0 9 -19832 0 V3
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -13841 0 V4
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -58 -10383 0 V5
E02904.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8534 0 V6
# Age: 53
# Sex: Male
# Dx: 428750005,67741000119109
# Rx: Unknown
# Hx: Unknown