Multidimensional Circadian Monitoring by Wearable Biosensors in Parkinson’s Disease-Reference-Cited by-同舟云学术

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Multidimensional Circadian Monitoring by Wearable Biosensors in Parkinson’s Disease

Published:2018-03-26 Issue: Volume:9 Page:
ISSN:1664-2295
Container-title:Frontiers in Neurology
language:
Short-container-title:Front. Neurol.

Author:

Madrid-Navarro Carlos J.,Escamilla-Sevilla Francisco,Mínguez-Castellanos Adolfo,Campos Manuel,Ruiz-Abellán Fernando,Madrid Juan A.,Rol M. A.

Publisher

Frontiers Media SA

Subject

Neurology (clinical),Neurology

Reference43 articles.

1. Machine learning for large-scale wearable sensor data in Parkinson’s disease: concepts, promises, pitfalls, and futures;Kubota;Mov Disord,2016

2. A comparison of actigraphy and polysomnography in older adults treated for chronic primary insomnia;Sivertsen;Sleep,2006

3. A new integrated variable based on thermometry, actimetry and body position (TAP) to evaluate circadian system status in humans;Ortiz-Tudela;PLoS Comput Biol,2010

4. Circadian phase assessment by ambulatory monitoring in humans: correlation with dim light melatonin onset;Bonmati-Carrion;Chronobiol Int,2014

5. Developing biomarker arrays predicting sleep and circadian-coupled risks to health;Mullington;Sleep,2016

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3. Urban environment influences on stress, autonomic reactivity and circadian rhythm: protocol for an ambulatory study of mental health and sleep;Frontiers in Public Health;2024-02-05

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