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Previously submitted to: Interactive Journal of Medical Research (no longer under consideration since Apr 19, 2022)

Date Submitted: Nov 10, 2021

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A systematic review of wearable technology and wearable biosensor usage in aging population

  • Fui Fui Lem; 
  • Dexter Jiunn Herng Lee; 
  • Win Zee Teong; 
  • Yvonne Yue Yuan Wong; 
  • Su Na Chin; 
  • Sazonov Edward; 
  • FongTyng Chee

ABSTRACT

Background:

Background:

The emergence of the Internet of Things (IoT) has subsequently catalysed the advent of wearable technology. Given the inevitability of ageing worldwide, wearable technology should evolve in terms of feasibility within the ageing population. However, there is limited systematic review on wearable technology in aging population.

Objective:

Objective:

This systematic review aims to offer comprehensive current state and information on wearable technology research among older adults.

Methods:

Methods:

This review implements Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines. 38 of the 618 publications were screened based on titles and abstracts following the inclusion and exclusion criteria through seven databases (China National Knowledge Infrastructure, Chinese Science Citation Database, Cochrane, IEEE Xplore, PubMed, Scopus, and WOS) and two search engines (Google Scholar and Microsoft Academic).

Results:

Results:

Most of the studies included in the analyses are efficacy and feasibility (5/16), followed by randomised pilot trial and quasi-interventional studies (3/16) respectively with most of the devices are wristband or smart watch. Only two studies focus on early detection or monitoring of cognitive impairment and fall. The significant restriction observed in all of the studies examined is the small sample size employed, with six of them having a sample size of less than 30 people, which is the lowest criteria for conducting a first-in-human trial for parameter estimation.

Conclusions:

Conclusions:

This study indicates scarce of study have been performed which limited to certain countries and population. However, further research in the future is essential for wearable technology in this population to globally optimise life qualities and reduce financial burdens due to the emerging of IoT and growth of these population worldwide which could adversely impact the public healthcare system.


 Citation

Please cite as:

Lem FF, Lee DJH, Teong WZ, Wong YYY, Chin SN, Edward S, Chee F

A systematic review of wearable technology and wearable biosensor usage in aging population

JMIR Preprints. 10/11/2021:34839

DOI: 10.2196/preprints.34839

URL: https://preprints.jmir.org/preprint/34839

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