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

File: <base>/training/georgia/g4/E03895.hea (716 bytes) 
E03895 12 500 5000
E03895.mat 16x1+24 1000.0(0)/mV 16 0 19 15890 0 I
E03895.mat 16x1+24 1000.0(0)/mV 16 0 -9 15155 0 II
E03895.mat 16x1+24 1000.0(0)/mV 16 0 -29 -800 0 III
E03895.mat 16x1+24 1000.0(0)/mV 16 0 -4 -15963 0 aVR
E03895.mat 16x1+24 1000.0(0)/mV 16 0 24 8460 0 aVL
E03895.mat 16x1+24 1000.0(0)/mV 16 0 -19 6554 0 aVF
E03895.mat 16x1+24 1000.0(0)/mV 16 0 19 1504 0 V1
E03895.mat 16x1+24 1000.0(0)/mV 16 0 58 362 0 V2
E03895.mat 16x1+24 1000.0(0)/mV 16 0 87 4216 0 V3
E03895.mat 16x1+24 1000.0(0)/mV 16 0 97 19821 0 V4
E03895.mat 16x1+24 1000.0(0)/mV 16 0 156 -25539 0 V5
E03895.mat 16x1+24 1000.0(0)/mV 16 0 29 9718 0 V6
# Age: 62
# Sex: Male
# Dx: 39732003,425623009,164934002
# Rx: Unknown
# Hx: Unknown