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

File: <base>/training/georgia/g2/E01759.hea (731 bytes) 
E01759 12 500 5000
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -29 18390 0 I
E01759.mat 16x1+24 1000.0(0)/mV 16 0 244 -18450 0 II
E01759.mat 16x1+24 1000.0(0)/mV 16 0 273 29802 0 III
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -107 283 0 aVR
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -151 -6390 0 aVL
E01759.mat 16x1+24 1000.0(0)/mV 16 0 258 5584 0 aVF
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -78 -28106 0 V1
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -126 -26842 0 V2
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -146 28169 0 V3
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -136 -18884 0 V4
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -117 -7904 0 V5
E01759.mat 16x1+24 1000.0(0)/mV 16 0 -87 26562 0 V6
# Age: 77
# Sex: Female
# Dx: 428750005,426177001
# Rx: Unknown
# Hx: Unknown