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

File: <base>/training/georgia/g2/E01435.hea (722 bytes) 
E01435 12 500 5000
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -87 12140 0 I
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -136 -26387 0 II
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -48 27188 0 III
E01435.mat 16x1+24 1000.0(0)/mV 16 0 112 7088 0 aVR
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -19 25167 0 aVL
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -92 -32278 0 aVF
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11537 0 V1
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -117 -19320 0 V2
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -126 -28694 0 V3
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -204 -984 0 V4
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -136 10154 0 V5
E01435.mat 16x1+24 1000.0(0)/mV 16 0 -78 15243 0 V6
# Age: 77
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown