Evidence map›Paper›PMID 28208620›Full record

ReviewSensors (Basel, Switzerland)2017

A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time.

Zhihua Wang, Zhaochu Yang, Tao Dong

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Can Smart Home Technologies Help Older Adults Manage Their Chronic Condition? A Systematic Literature Review.International journal of environmental research and public health · 2023
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  15. Aging With Artificial Intelligence: How Technology Enhances Older Adults' Health and Independence.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhihua WangInstitute of Applied Micro-Nano Science and Technology, Chongqing Technology and Business University, Chongqing 400067, China. Wang1072020701@hotmail.com.
Zhaochu YangInstitute of Applied Micro-Nano Science and Technology, Chongqing Technology and Business University, Chongqing 400067, China. zhaochu.yang@ctbu.edu.cn.
Tao DongInstitute for Microsystems (IMS), Faculty of Technology and Maritime Science, University College of Southeast Norway (HSN), Horten 3184, Norway. tao.dong@usn.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid growth of the aged population has caused an immense increase in the demand for healthcare services. Generally, the elderly are more prone to health problems compared to other age groups. With effective monitoring and alarm systems, the adverse effects of unpredictable events such as sudden illnesses, falls, and so on can be ameliorated to some extent. Recently, advances in wearable and sensor technologies have improved the prospects of these service systems for assisting elderly people. In this article, we review state-of-the-art wearable technologies that can be used for elderly care. These technologies are categorized into three types: indoor positioning, activity recognition and real time vital sign monitoring. Positioning is the process of accurate localization and is particularly important for elderly people so that they can be found in a timely manner. Activity recognition not only helps ensure that sudden events (e.g., falls) will raise alarms but also functions as a feasible way to guide people's activities so that they avoid dangerous behaviors. Since most elderly people suffer from age-related problems, some vital signs that can be monitored comfortably and continuously via existing techniques are also summarized. Finally, we discussed a series of considerations and future trends with regard to the construction of "smart clothing" system.

Indexed as

Wearable Electronic DevicesAgedExerciseHumansMonitoring, PhysiologicTelemedicineelderly carehuman activity recognitionindoor positioningvital sign monitoringwearable technologies

Identifiers

PMID28208620
PMCPMC5336038

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.