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

File: <base>/training/georgia/g2/E01782.hea (715 bytes) 
E01782 12 500 5000
E01782.mat 16x1+24 1000.0(0)/mV 16 0 283 -21889 0 I
E01782.mat 16x1+24 1000.0(0)/mV 16 0 273 15849 0 II
E01782.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27591 0 III
E01782.mat 16x1+24 1000.0(0)/mV 16 0 -278 -29693 0 aVR
E01782.mat 16x1+24 1000.0(0)/mV 16 0 146 3152 0 aVL
E01782.mat 16x1+24 1000.0(0)/mV 16 0 131 26897 0 aVF
E01782.mat 16x1+24 1000.0(0)/mV 16 0 -58 -22963 0 V1
E01782.mat 16x1+24 1000.0(0)/mV 16 0 146 -18182 0 V2
E01782.mat 16x1+24 1000.0(0)/mV 16 0 409 14104 0 V3
E01782.mat 16x1+24 1000.0(0)/mV 16 0 585 2724 0 V4
E01782.mat 16x1+24 1000.0(0)/mV 16 0 419 -321 0 V5
E01782.mat 16x1+24 1000.0(0)/mV 16 0 331 24562 0 V6
# Age: 78
# Sex: Female
# Dx: 17338001
# Rx: Unknown
# Hx: Unknown