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

File: <base>/training/georgia/g6/E05903.hea (745 bytes) 
E05903 12 500 5000
E05903.mat 16x1+24 1000.0(0)/mV 16 0 214 -29476 0 I
E05903.mat 16x1+24 1000.0(0)/mV 16 0 234 19261 0 II
E05903.mat 16x1+24 1000.0(0)/mV 16 0 19 -17359 0 III
E05903.mat 16x1+24 1000.0(0)/mV 16 0 -224 5024 0 aVR
E05903.mat 16x1+24 1000.0(0)/mV 16 0 97 27012 0 aVL
E05903.mat 16x1+24 1000.0(0)/mV 16 0 126 -31651 0 aVF
E05903.mat 16x1+24 1000.0(0)/mV 16 0 -87 -1541 0 V1
E05903.mat 16x1+24 1000.0(0)/mV 16 0 107 1525 0 V2
E05903.mat 16x1+24 1000.0(0)/mV 16 0 263 32585 0 V3
E05903.mat 16x1+24 1000.0(0)/mV 16 0 556 -19455 0 V4
E05903.mat 16x1+24 1000.0(0)/mV 16 0 751 20102 0 V5
E05903.mat 16x1+24 1000.0(0)/mV 16 0 595 23112 0 V6
# Age: 82
# Sex: Female
# Dx: 428750005,164873001,426177001,427393009
# Rx: Unknown
# Hx: Unknown