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

File: <base>/training/georgia/g5/E04064.hea (741 bytes) 
E04064 12 500 5000
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -97 15823 0 I
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -195 -14526 0 II
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -97 -30111 0 III
E04064.mat 16x1+24 1000.0(0)/mV 16 0 146 31899 0 aVR
E04064.mat 16x1+24 1000.0(0)/mV 16 0 0 23256 0 aVL
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -146 10501 0 aVF
E04064.mat 16x1+24 1000.0(0)/mV 16 0 214 -5939 0 V1
E04064.mat 16x1+24 1000.0(0)/mV 16 0 370 -25962 0 V2
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -68 -30732 0 V3
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -165 24247 0 V4
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -214 -4440 0 V5
E04064.mat 16x1+24 1000.0(0)/mV 16 0 -146 20316 0 V6
# Age: 66
# Sex: Female
# Dx: 111975006,164930006,164873001
# Rx: Unknown
# Hx: Unknown