Literature DB >> 24388101

Monitoring human health behaviour in one's living environment: a technological review.

Shane A Lowe1, Gearóid Ólaighin2.   

Abstract

The electronic monitoring of human health behaviour using computer techniques has been an active research area for the past few decades. A wide array of different approaches have been investigated using various technologies including inertial sensors, Global Positioning System, smart homes, Radio Frequency IDentification and others. It is only in recent years that research has turned towards a sensor fusion approach using several different technologies in single systems or devices. These systems allow for an increased volume of data to be collected and for activity data to be better used as measures of behaviour. This change may be due to decreasing hardware costs, smaller sensors, increased power efficiency or increases in portability. This paper is intended to act as a reference for the design of multi-sensor behaviour monitoring systems. The range of technologies that have been used in isolation for behaviour monitoring both in research and commercial devices are reviewed and discussed. Filtering, range, sensitivity, usability and other considerations of different technologies are discussed. A brief overview of commercially available activity monitors and their technology is also included.
Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometer; Ambient; Assisted living; Behaviour; Functional health; Gyroscope; Inertial sensor; Monitor

Mesh:

Year:  2013        PMID: 24388101     DOI: 10.1016/j.medengphy.2013.11.010

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  28 in total

1.  Validation of Sleep-Tracking Technology Compared with Polysomnography in Adolescents.

Authors:  Massimiliano de Zambotti; Fiona C Baker; Ian M Colrain
Journal:  Sleep       Date:  2015-09-01       Impact factor: 5.849

2.  A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables.

Authors:  Mozziyar Etemadi; Omer T Inan; J Alex Heller; Sinan Hersek; Liviu Klein; Shuvo Roy
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2015-05-12       Impact factor: 3.833

Review 3.  New measures of mental state and behavior based on data collected from sensors, smartphones, and the Internet.

Authors:  Tasha Glenn; Scott Monteith
Journal:  Curr Psychiatry Rep       Date:  2014-12       Impact factor: 5.285

4.  A Behaviour Monitoring System (BMS) for Ambient Assisted Living.

Authors:  Samih Eisa; Adriano Moreira
Journal:  Sensors (Basel)       Date:  2017-08-24       Impact factor: 3.576

5.  Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents.

Authors:  Massimiliano de Zambotti; Fiona C Baker; Adrian R Willoughby; Job G Godino; David Wing; Kevin Patrick; Ian M Colrain
Journal:  Physiol Behav       Date:  2016-03-09

6.  A New Paradigm of Technology-Enabled ‘Vital Signs’ for Early Detection of Health Change for Older Adults.

Authors:  Marilyn J Rantz; Marjorie Skubic; Mihail Popescu; Colleen Galambos; Richelle J Koopman; Gregory L Alexander; Lorraine J Phillips; Katy Musterman; Jessica Back; Steven J Miller
Journal:  Gerontology       Date:  2015       Impact factor: 5.140

7.  Evaluation of a consumer fitness-tracking device to assess sleep in adults.

Authors:  Massimiliano de Zambotti; Stephanie Claudatos; Sarah Inkelis; Ian M Colrain; Fiona C Baker
Journal:  Chronobiol Int       Date:  2015       Impact factor: 2.877

8.  Genetic GIScience: Toward a Place-Based Synthesis of the Genome, Exposome, and Behavome.

Authors:  Geoffrey M Jacquez; Clive E Sabel; Chen Shi
Journal:  Ann Assoc Am Geogr       Date:  2015

Review 9.  Privacy in the digital world: medical and health data outside of HIPAA protections.

Authors:  Tasha Glenn; Scott Monteith
Journal:  Curr Psychiatry Rep       Date:  2014-11       Impact factor: 5.285

10.  Different Combinations of Mobility Metrics Derived From a Wearable Sensor Are Associated With Distinct Health Outcomes in Older Adults.

Authors:  Aron S Buchman; Robert J Dawe; Sue E Leurgans; Thomas A Curran; Timothy Truty; Lei Yu; Lisa L Barnes; Jeffrey M Hausdorff; David A Bennett
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.591

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