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

File: <base>/training/georgia/g2/E01763.hea (702 bytes) 
E01763 12 500 5000
E01763.mat 16x1+24 1000.0(0)/mV 16 0 0 21612 0 I
E01763.mat 16x1+24 1000.0(0)/mV 16 0 -19 21977 0 II
E01763.mat 16x1+24 1000.0(0)/mV 16 0 -19 1323 0 III
E01763.mat 16x1+24 1000.0(0)/mV 16 0 9 -21823 0 aVR
E01763.mat 16x1+24 1000.0(0)/mV 16 0 9 -22390 0 aVL
E01763.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20947 0 aVF
E01763.mat 16x1+24 1000.0(0)/mV 16 0 0 -32635 0 V1
E01763.mat 16x1+24 1000.0(0)/mV 16 0 19 -21007 0 V2
E01763.mat 16x1+24 1000.0(0)/mV 16 0 0 -21805 0 V3
E01763.mat 16x1+24 1000.0(0)/mV 16 0 48 23229 0 V4
E01763.mat 16x1+24 1000.0(0)/mV 16 0 39 5618 0 V5
E01763.mat 16x1+24 1000.0(0)/mV 16 0 39 30623 0 V6
# Age: 36
# Sex: Male
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown