Publicaciones en las que colabora con Juan Antonio Madrid Perez (13)

2022

  1. Chronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock

    Current Oncology Reports, Vol. 24, Núm. 2, pp. 135-149

  2. Living at the Wrong Time: Effects of Unmatching Official Time in Portugal and Western Spain

    Biology, Vol. 11, Núm. 8

2021

  1. P54.04 Detecting Elevated Risk of Diminished Quality of Life Among Lung Cancer Patients by Using Wearable Devices

    Journal of Thoracic Oncology, Vol. 16, Núm. 10, pp. S1130-S1131

2019

  1. Application of Machine Learning Methods to Ambulatory Circadian Monitoring (ACM) for Discriminating Sleep and Circadian Disorders

    Frontiers in Neuroscience, Vol. 13

  2. Validation of a device for the ambulatory monitoring of sleep patterns: A pilot study on Parkinson's disease

    Frontiers in Neurology, Vol. 10, Núm. APR

2018

  1. Circadian monitoring as an aging predictor

    Scientific Reports, Vol. 8, Núm. 1

  2. De la Universidad a la sociedad. Constitución de una Empresa de Base Tecnológica: Kronohealth

    Eubacteria, Núm. 37

  3. Multidimensional circadian monitoring by wearable biosensors in Parkinson's disease

    Frontiers in Neurology, Vol. 9, Núm. MAR

2016

  1. Age classification through the evaluation of circadian rhythms of wrist temperature

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. Ontogeny and aging of the distal skin temperature rhythm in humans

    Age, Vol. 37, Núm. 2

2014

  1. Ambulatory Circadian Monitoring (ACM) based on Thermometry, motor Activity and body Position (TAP): A comparison with polysomnography

    Physiology and Behavior, Vol. 126, pp. 30-38

2011

  1. Complexity changes in human wrist temperature circadian rhythms through ageing

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. A new integrated variable based on thermometry, actimetry and body position (TAP) to evaluate circadian system status in humans

    PLoS Computational Biology, Vol. 6, Núm. 11