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

File: <base>/training/georgia/g2/E01622.hea (718 bytes) 
E01622 12 500 5000
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -175 19510 0 I
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -175 -16419 0 II
E01622.mat 16x1+24 1000.0(0)/mV 16 0 0 30933 0 III
E01622.mat 16x1+24 1000.0(0)/mV 16 0 175 -1553 0 aVR
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -87 -5377 0 aVL
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -87 7295 0 aVF
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -58 4043 0 V1
E01622.mat 16x1+24 1000.0(0)/mV 16 0 0 -15764 0 V2
E01622.mat 16x1+24 1000.0(0)/mV 16 0 0 32551 0 V3
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7103 0 V4
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16416 0 V5
E01622.mat 16x1+24 1000.0(0)/mV 16 0 -97 31354 0 V6
# Age: 63
# Sex: Male
# Dx: 713426002,427084000
# Rx: Unknown
# Hx: Unknown