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

File: <base>/training/georgia/g5/E04630.hea (722 bytes) 
E04630 12 500 5000
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -97 1079 0 I
E04630.mat 16x1+24 1000.0(0)/mV 16 0 0 -2429 0 II
E04630.mat 16x1+24 1000.0(0)/mV 16 0 97 -3465 0 III
E04630.mat 16x1+24 1000.0(0)/mV 16 0 48 253 0 aVR
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -97 2745 0 aVL
E04630.mat 16x1+24 1000.0(0)/mV 16 0 48 -2770 0 aVF
E04630.mat 16x1+24 1000.0(0)/mV 16 0 9 -8301 0 V1
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -58 292 0 V2
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -39 -3469 0 V3
E04630.mat 16x1+24 1000.0(0)/mV 16 0 48 -7343 0 V4
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -146 13600 0 V5
E04630.mat 16x1+24 1000.0(0)/mV 16 0 -87 -23563 0 V6
# Age: 66
# Sex: Female
# Dx: 164889003,425623009,164934002
# Rx: Unknown
# Hx: Unknown