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

File: <base>/training/georgia/g5/E04933.hea (707 bytes) 
E04933 12 500 5000
E04933.mat 16x1+24 1000.0(0)/mV 16 0 126 2997 0 I
E04933.mat 16x1+24 1000.0(0)/mV 16 0 117 27764 0 II
E04933.mat 16x1+24 1000.0(0)/mV 16 0 -9 25092 0 III
E04933.mat 16x1+24 1000.0(0)/mV 16 0 -122 -15566 0 aVR
E04933.mat 16x1+24 1000.0(0)/mV 16 0 68 21791 0 aVL
E04933.mat 16x1+24 1000.0(0)/mV 16 0 53 -6379 0 aVF
E04933.mat 16x1+24 1000.0(0)/mV 16 0 -29 917 0 V1
E04933.mat 16x1+24 1000.0(0)/mV 16 0 78 29688 0 V2
E04933.mat 16x1+24 1000.0(0)/mV 16 0 19 -13461 0 V3
E04933.mat 16x1+24 1000.0(0)/mV 16 0 185 6547 0 V4
E04933.mat 16x1+24 1000.0(0)/mV 16 0 87 -8192 0 V5
E04933.mat 16x1+24 1000.0(0)/mV 16 0 -48 -9697 0 V6
# Age: 44
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown