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  • Classification tree methodology  (1)
  • Contractile proteins  (1)
  • Holter monitoring  (1)
  • 1
    ISSN: 1432-1971
    Keywords: Holter monitoring ; Normal neonates ; QT interval ; Dysrhythmia
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary The distribution and variation of cardiac rate and rhythm in normal neonates has previously received little attention. This has made clinical assessment of dysrhythmia in newborns difficult. We therefore performed continuous 24-hour electrocardiography in 29 normal newborn subjects (age range, 1 to 6 days; mean, 3.5 days). The ECG tapes were then analysed in detail to define the normal range of cardiac rate, conduction intervals, and rhythm during waking and sleeping periods. Maximum sinus rate (awake) ranged from 150 to 222 beats per minute (mean, 192±16 [SD]), and minimum rate (awake) from 78 to 140 beats per minute (mean, 107±15). During sleep, the maximum rate ranged from 125 to 210 (mean, 168±23) and the minimum from 72 to 120 beats per minute (mean, 92±11). The maximum variation in rate for any individual during the 24-hour period ranged from 73 to 134 beats per minute (mean, 100±17). Sinus rhythm predominated with mild irregularity occurring episodically in 24 and moderate irregularity in 4 infants. An isolated atrial premature beat was present in 2 subjects, and an atrioventricular (AV) junctional escape rhythm occurred in one other after a sinus pause of 840 msec. Ventricular premature beats or AV conduction abnormalities were not observed. The corrected QT interval (QTc) ranged from 0.298 to 0.514 sec (mean, 0.390±0.026). The maximum variation in QTc over 24 hours ranged from 0.052 to 0.160 sec (mean, 0.097±0.028). We conclude that cardiac rhythm and conduction appear more stable in normal newborns than in older normal subjects and that bradycardia, conduction defects, and ventricular ectopy of the type recently reported in young normal adults seem to be more uncommon in the neonatal period.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Pflügers Archiv 391 (1981), S. 319-323 
    ISSN: 1432-2013
    Keywords: Exercise ; Myocardial protein synthesis ; Contractile proteins
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Amino acid incorporation into myocardial protein was studied in rats after an acute bout of exhaustive swimming. Hearts were removed at exhaustion, 1, 2, or 4 h of recovery and amino acid incorporation measured using [3H] phenylalanine in an isolated perfused heart preparation. Amino acid incorporation into total tissue protein was reduced 30% at exhaustion but returned to normal by 1 h of recovery and showed no further change 4 h post exercise. In the myofibrillar fraction amino acid incorporation decreased slightly after exhaustive exercise but was stimulated by 57% following 2 h recovery. Myosin, electrophoretically fractionated showed an 84% stimulation in phenylalanine incorporation at exhaustion and 112% increase 2 h post exercise. Amino acid incorporation into myosin light chains (LC1 and LC2) accounted for most of the increased rate of synthesis. These data suggest that there was a preferential increase in myocardial protein synthesis following exercise which was associated with the myosin light chain components of the contractile proteins.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Statistics and computing 3 (1993), S. 147-161 
    ISSN: 1573-1375
    Keywords: Classification tree methodology ; Gini-Simpson criterion ; anti-end-cut factors ; mean posterior improvement criterion
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract Various aspects of the classification tree methodology of Breiman et al., (1984) are discussed. A method of displaying classification trees, called block diagrams, is developed. Block diagrams give a clear presentation of the classification, and are useful both to point out features of the particular data set under consideration and also to highlight deficiencies in the classification method being used. Various splitting criteria are discussed; the usual Gini-Simpson criterion presents difficulties when there is a relatively large number of classes and improved splitting criteria are obtained. One particular improvement is the introduction of ‘adaptive anti-end-cut factors’ that take advantage of highly asymmetrical splits where appropriate. They use the number and mix of classes in the current node of the tree to identify whether or not it is likely to be advantageous to create a very small offspring node. A number of data sets are used as examples.
    Type of Medium: Electronic Resource
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