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

File: <base>/training/georgia/g7/E06945.hea (726 bytes) 
E06945 12 500 5000
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -39 -28580 0 I
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -68 18875 0 II
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -29 -19025 0 III
E06945.mat 16x1+24 1000.0(0)/mV 16 0 53 -27900 0 aVR
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -4 -4646 0 aVL
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -48 32553 0 aVF
E06945.mat 16x1+24 1000.0(0)/mV 16 0 19 -28896 0 V1
E06945.mat 16x1+24 1000.0(0)/mV 16 0 0 -20027 0 V2
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16102 0 V3
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -58 11105 0 V4
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -68 -28737 0 V5
E06945.mat 16x1+24 1000.0(0)/mV 16 0 -68 31805 0 V6
# Age: 70
# Sex: Female
# Dx: 164909002,164889003
# Rx: Unknown
# Hx: Unknown