Literature DB >> 29080814

Sleep devices: wearables and nearables, informational and interventional, consumer and clinical.

Matt T Bianchi1.   

Abstract

The field of sleep is in many ways ideally positioned to take full advantage of advancements in technology and analytics that is fueling the mobile health movement. Combining hardware and software advances with increasingly available big datasets that contain scored data obtained under gold standard sleep laboratory conditions completes the trifecta of this perfect storm. This review highlights recent developments in consumer and clinical devices for sleep, emphasizing the need for validation at multiple levels, with the ultimate goal of using personalized data and advanced algorithms to provide actionable information that will improve sleep health.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  Algorithm; Devices; Home monitoring; Mobile health; Validation

Mesh:

Year:  2017        PMID: 29080814     DOI: 10.1016/j.metabol.2017.10.008

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  23 in total

1.  The Respiratory Signature: A Novel Concept to Leverage Continuous Positive Airway Pressure Therapy as an Early Warning System for Exacerbations of Common Diseases such as Heart Failure.

Authors:  Christopher N Schmickl; Eric Heckman; Robert L Owens; Robert J Thomas
Journal:  J Clin Sleep Med       Date:  2019-06-15       Impact factor: 4.062

2.  Identification of Developmental Delay in Infants Using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis.

Authors:  Mohammad Saeed Abrishami; Luciano Nocera; Melissa Mert; Ivan A Trujillo-Priego; Sanjay Purushotham; Cyrus Shahabi; Beth A Smith
Journal:  IEEE J Transl Eng Health Med       Date:  2019-01-25       Impact factor: 3.316

Review 3.  Sleep Monitoring in Athletes: Motivation, Methods, Miscalculations and Why it Matters.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2019-10       Impact factor: 11.136

Review 4.  The Digital Neurologic Examination.

Authors:  Adam B Cohen; Brain V Nahed
Journal:  Digit Biomark       Date:  2021-04-26

5.  Sleep staging from electrocardiography and respiration with deep learning.

Authors:  Haoqi Sun; Wolfgang Ganglberger; Ezhil Panneerselvam; Michael J Leone; Syed A Quadri; Balaji Goparaju; Ryan A Tesh; Oluwaseun Akeju; Robert J Thomas; M Brandon Westover
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

6.  Wrist Wearables: More Questions than Answers?

Authors:  Jacob F Collen; Carla M York
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

Review 7.  Wearable Sleep Technology in Clinical and Research Settings.

Authors:  Massimiliano de Zambotti; Nicola Cellini; Aimée Goldstone; Ian M Colrain; Fiona C Baker
Journal:  Med Sci Sports Exerc       Date:  2019-07       Impact factor: 5.411

8.  Feasibility of Using a Wearable Biosensor Device in Patients at Risk for Alzheimer's Disease Dementia.

Authors:  N Saif; P Yan; K Niotis; O Scheyer; A Rahman; M Berkowitz; R Krikorian; H Hristov; G Sadek; S Bellara; R S Isaacson
Journal:  J Prev Alzheimers Dis       Date:  2020

9.  Performance of seven consumer sleep-tracking devices compared with polysomnography.

Authors:  Evan D Chinoy; Joseph A Cuellar; Kirbie E Huwa; Jason T Jameson; Catherine H Watson; Sara C Bessman; Dale A Hirsch; Adam D Cooper; Sean P A Drummond; Rachel R Markwald
Journal:  Sleep       Date:  2021-05-14       Impact factor: 5.849

10.  Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update.

Authors:  Sharon Schutte-Rodin; Maryann C Deak; Seema Khosla; Cathy A Goldstein; Michael Yurcheshen; Ambrose Chiang; Dominic Gault; Joseph Kern; Daniel O'Hearn; Scott Ryals; Nitun Verma; Douglas B Kirsch; Kelly Baron; Steven Holfinger; Jennifer Miller; Ruchir Patel; Sumit Bhargava; Kannan Ramar
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.062

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