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

File: <base>/training/georgia/g1/E00952.hea (721 bytes) 
E00952 12 500 5000
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -9 3206 0 I
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -78 -11483 0 II
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14072 0 III
E00952.mat 16x1+24 1000.0(0)/mV 16 0 43 3978 0 aVR
E00952.mat 16x1+24 1000.0(0)/mV 16 0 29 8012 0 aVL
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -73 -12816 0 aVF
E00952.mat 16x1+24 1000.0(0)/mV 16 0 19 14497 0 V1
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -58 5944 0 V2
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -19 7109 0 V3
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -68 15911 0 V4
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -87 16625 0 V5
E00952.mat 16x1+24 1000.0(0)/mV 16 0 -78 13186 0 V6
# Age: 79
# Sex: Male
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown