Rehabilitation Technology: Assistance from Hospital to Home

Joint Authors

Cazorla, Miguel
Martinez-Martin, Ester

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-06-02

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Biology

Abstract EN

Rehabilitation is essential for disabled people to achieve the highest level of functional independence, reducing or preventing impairments.

Nonetheless, this process can be long and expensive.

This fact together with the ageing phenomenon has become a critical issue for both clinicians and patients.

In this sense, technological solutions may be beneficial since they reduce the costs and increase the number of patients per caregiver, which makes them more accessible.

In addition, they provide access to rehabilitation services for those facing physical, financial, and/or attitudinal barriers.

This paper presents the state of the art of the assistive rehabilitation technologies for different recovery methods starting from in-person sessions to complementary at-home activities.

American Psychological Association (APA)

Martinez-Martin, Ester& Cazorla, Miguel. 2019. Rehabilitation Technology: Assistance from Hospital to Home. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1129330

Modern Language Association (MLA)

Martinez-Martin, Ester& Cazorla, Miguel. Rehabilitation Technology: Assistance from Hospital to Home. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1129330

American Medical Association (AMA)

Martinez-Martin, Ester& Cazorla, Miguel. Rehabilitation Technology: Assistance from Hospital to Home. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1129330

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1129330