Literature DB >> 18002253

Roll-over detection and sleep quality measurement using a wearable sensor.

Hiroyasu Miwa1, Shin-ichiro Sasahara, Toshihiro Matsui.   

Abstract

Mental health management in the workplace has attracted increasing attention in recent years. As sleep is an essential physiological function that is strongly related to mental condition, easy and daily sleep management is considered essential for maintaining good mental health. In this paper, we detected roll-over movements during sleep using a wearable armband-shaped sensor, SenseWear Pro<inf>2</inf> Armband. We then classified sleep depth into two stages, light sleep and deep sleep, based on roll-over frequency. We also propose a new index designated the Sleep Quality Score (SQS). Finally, we performed long-term measurement and compared SQS in healthy people and patients with major depression disorder.

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Year:  2007        PMID: 18002253     DOI: 10.1109/IEMBS.2007.4352587

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  9 in total

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4.  Breakfast Consumption Augments Appetite, Eating Behavior, and Exploratory Markers of Sleep Quality Compared with Skipping Breakfast in Healthy Young Adults.

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6.  Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study.

Authors:  Yuezhou Zhang; Amos A Folarin; Shaoxiong Sun; Nicholas Cummins; Rebecca Bendayan; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Petroula Laiou; Faith Matcham; Katie M White; Femke Lamers; Sara Siddi; Sara Simblett; Inez Myin-Germeys; Aki Rintala; Til Wykes; Josep Maria Haro; Brenda Wjh Penninx; Vaibhav A Narayan; Matthew Hotopf; Richard Jb Dobson
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-12       Impact factor: 4.773

7.  The effects of Ramadan fasting on sleep patterns and daytime sleepiness: An objective assessment.

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8.  Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios.

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Review 9.  Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review.

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  9 in total

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