An improved method for estimating human circadian phase derived from multichannel ambulatory monitoring and artificial neural networks.

@article{Kolodyazhniy2012AnIM,
  title={An improved method for estimating human circadian phase derived from multichannel ambulatory monitoring and artificial neural networks.},
  author={Vitaliy Kolodyazhniy and Jakub Sp{\"a}ti and Sylvia Frey and Thomas Goetz and Anna M Wirz-Justice and Kurt Kr{\"a}uchi and Christian Cajochen and Frank H. Wilhelm},
  journal={Chronobiology international},
  year={2012},
  volume={29 8},
  pages={1078-97}
}
Recently, we developed a novel method for estimating human circadian phase with noninvasive ambulatory measurements combined with subject-independent multiple regression models and a curve-fitting approach. With this, we were able to estimate circadian phase under real-life conditions with low subject burden, i.e., without need of constant routine (CR) laboratory conditions, and without measuring standard circadian markers, such as core body temperature (CBT) or pineal hormone melatonin rhythms… CONTINUE READING
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Melatonin in adult depression

  • L. Wetterberg
  • 1998
Highly Influential
5 Excerpts

times, each time using a different initialization of the random number generator

  • TC Ho, S Brown, JT. Serences
  • 2009
1 Excerpt

A direct ultrasensitive RIA for the determination of melatonin in human saliva: comparison with serum levels

  • JM Weber, JC Schwander, I Unger, D. Meier
  • J. Sleep Res
  • 1997
1 Excerpt

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