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

File: <base>/training/georgia/g5/E04824.hea (716 bytes) 
E04824 12 500 5000
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -58 -24105 0 I
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -29 23775 0 II
E04824.mat 16x1+24 1000.0(0)/mV 16 0 29 -17925 0 III
E04824.mat 16x1+24 1000.0(0)/mV 16 0 43 -32524 0 aVR
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -43 -3160 0 aVL
E04824.mat 16x1+24 1000.0(0)/mV 16 0 0 -29771 0 aVF
E04824.mat 16x1+24 1000.0(0)/mV 16 0 9 -6294 0 V1
E04824.mat 16x1+24 1000.0(0)/mV 16 0 0 -4624 0 V2
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9340 0 V3
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -19 -4621 0 V4
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -39 10571 0 V5
E04824.mat 16x1+24 1000.0(0)/mV 16 0 -48 5757 0 V6
# Age: 58
# Sex: Male
# Dx: 426177001,164873001
# Rx: Unknown
# Hx: Unknown