Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores

Joint Authors

Chen, Dongliang
Han, Zhenwei
Lin, Xin
Feng, Zhe
Zhang, Yuanpeng
Chen, Yalan
Yu, Yijun
Hua, Xinyi
Xu, Xiaotao
Wang, Guheng

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-09-29

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Objective.

To systematically analyze the existing intelligent rehabilitation mobile applications (APPs) related to distal radius fracture (DRF) and evaluate their features and characteristics, so as to help doctors and patients to make evidence-based choice for appropriate intelligent-assisted rehabilitation.

Methods.

Literatures which in regard to the intelligent rehabilitation tools of DRF were systematic retrieved from the PubMed, the Cochrane library, Wan Fang, and VIP Data.

The effective APPs were systematically screened out through the APP markets of iOS and Android mobile platform, and the functional characteristics of different APPs were evaluated and analyzed.

Results.

A total of 8 literatures and 31 APPs were included, which were divided into four categories: intelligent intervention, angle measurement, intelligent monitoring, and auxiliary rehabilitation games.

These APPs provide support for the patients’ home rehabilitation guidance and training and make up for the high cost and space limitations of traditional rehabilitation methods.

The intelligent intervention category has the largest download ratio in the APP market.

Angle measurement tools help DRF patients to measure the joint angle autonomously to judge the degree of rehabilitation, which is the most concentrated type of literature research.

Some of the APPs and tools have obtained good clinical verification.

However, due to the restrictions of cost, geographic authority, and applicable population, a large number of APPs still lack effective evidence to support popularization.

Conclusion.

Patients with DRF could draw support from different kinds of APPs in order to fulfill personal need and promote self-management.

Intelligent rehabilitation APPs play a positive role in the rehabilitation of patients, but the acceptance of the utilization for intelligent rehabilitation APPs is relatively low, which might need follow-up research to address the conundrum.

American Psychological Association (APA)

Chen, Yalan& Yu, Yijun& Lin, Xin& Han, Zhenwei& Feng, Zhe& Hua, Xinyi…[et al.]. 2020. Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139579

Modern Language Association (MLA)

Chen, Yalan…[et al.]. Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139579

American Medical Association (AMA)

Chen, Yalan& Yu, Yijun& Lin, Xin& Han, Zhenwei& Feng, Zhe& Hua, Xinyi…[et al.]. Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139579

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139579