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

File: <base>/training/georgia/g1/E00964.hea (721 bytes) 
E00964 12 500 5000
E00964.mat 16x1+24 1000.0(0)/mV 16 0 107 -27375 0 I
E00964.mat 16x1+24 1000.0(0)/mV 16 0 400 -17656 0 II
E00964.mat 16x1+24 1000.0(0)/mV 16 0 292 10823 0 III
E00964.mat 16x1+24 1000.0(0)/mV 16 0 -253 22118 0 aVR
E00964.mat 16x1+24 1000.0(0)/mV 16 0 -92 -20303 0 aVL
E00964.mat 16x1+24 1000.0(0)/mV 16 0 346 -3380 0 aVF
E00964.mat 16x1+24 1000.0(0)/mV 16 0 -126 -28858 0 V1
E00964.mat 16x1+24 1000.0(0)/mV 16 0 -48 23925 0 V2
E00964.mat 16x1+24 1000.0(0)/mV 16 0 322 25925 0 V3
E00964.mat 16x1+24 1000.0(0)/mV 16 0 566 -27315 0 V4
E00964.mat 16x1+24 1000.0(0)/mV 16 0 585 -17605 0 V5
E00964.mat 16x1+24 1000.0(0)/mV 16 0 390 -25806 0 V6
# Age: 43
# Sex: Male
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown