Evidence map›Paper›PMID 27023558›Full record

SynthesisSensors (Basel, Switzerland)2016

Balance Improvement Effects of Biofeedback Systems with State-of-the-Art Wearable Sensors: A Systematic Review.

Christina Zong-Hao Ma, Duo Wai-Chi Wong, Wing Kai Lam, Anson Hong-Ping Wan, Winson Chiu-Chun Lee

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
21.7field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Christina Zong-Hao MaInterdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. christina.ma@connect.polyu.hk.
Duo Wai-Chi WongInterdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. duo.wong@polyu.edu.hk.
Wing Kai LamLi Ning Sports Science Research Center, Beijing 101111, China. gilbertlam@li-ning.com.cn.
Anson Hong-Ping WanInterdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. ansonhomehk@hotmail.com.
Winson Chiu-Chun LeeInterdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. winson.lee@polyu.edu.hk.
Hong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls and fall-induced injuries are major global public health problems. Balance and gait disorders have been the second leading cause of falls. Inertial motion sensors and force sensors have been widely used to monitor both static and dynamic balance performance. Based on the detected performance, instant visual, auditory, electrotactile and vibrotactile biofeedback could be provided to augment the somatosensory input and enhance balance control. This review aims to synthesize the research examining the effect of biofeedback systems, with wearable inertial motion sensors and force sensors, on balance performance. Randomized and non-randomized clinical trials were included in this review. All studies were evaluated based on the methodological quality. Sample characteristics, device design and study characteristics were summarized. Most previous studies suggested that biofeedback devices were effective in enhancing static and dynamic balance in healthy young and older adults, and patients with balance and gait disorders. Attention should be paid to the choice of appropriate types of sensors and biofeedback for different intended purposes. Maximizing the computing capacity of the micro-processer, while minimizing the size of the electronic components, appears to be the future direction of optimizing the devices. Wearable balance-improving devices have their potential of serving as balance aids in daily life, which can be used indoors and outdoors.

Indexed as

Monitoring, AmbulatoryAccidental FallsBiofeedback, PsychologyGaitHumansMotionPostural Balancebalancefallsforce sensorsinertial motion sensorsreal-time biofeedbacksensory augmentationwearable sensors

Identifiers

PMID27023558
PMCPMC4850948
OpenAlexW2302732052

What OpenQuestion holds

Textmetadata
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.