Evidence map›Paper›PMID 29581093›Full record

ReviewJMIR rehabilitation and assistive technologies2018

Evolution of Cognitive Rehabilitation After Stroke From Traditional Techniques to Smart and Personalized Home-Based Information and Communication Technology Systems: Literature Review.

José M Cogollor, Javier Rojo-Lacal, Joachim Hermsdörfer, Manuel Ferre, Maria Teresa Arredondo Waldmeyer, Christos Giachritsis, Alan Armstrong, Jose Manuel Breñosa Martinez, Doris Anabelle Bautista Loza, José María Sebastián

Abstract readReview
In one paragraph

Review in JMIR rehabilitation and assistive technologies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Case Reports in the Integration of Technology with Cognitive Rehabilitation for Individuals with Memory Concerns and Their Care Partners.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Technologies in Home-Based Digital Rehabilitation: Scoping Review.JMIR rehabilitation and assistive technologies · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

10 authors.

José M CogollorCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0001-6638-4113
Javier Rojo-LacalLife Supporting Technologies, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-8810-9566
Joachim HermsdörferInstitute of Movement Science, Department of Sport and Health Science, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0002-6843-4871
Manuel FerreCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-0030-1551
Maria Teresa Arredondo WaldmeyerLife Supporting Technologies, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-3113-3976
Christos GiachritsisBMT Group Ltd, London, United Kingdom.ORCID http://orcid.org/0000-0003-4850-1851
Alan ArmstrongInstitute of Movement Science, Department of Sport and Health Science, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0003-3197-2163
Jose Manuel Breñosa MartinezCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-1159-7968
Doris Anabelle Bautista LozaCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-9840-3953
José María SebastiánCentre for Automation and Robotics UPM-CSIC, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-6608-5989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurological patients after stroke usually present cognitive deficits that cause dependencies in their daily living. These deficits mainly affect the performance of some of their daily activities. For that reason, stroke patients need long-term processes for their cognitive rehabilitation. Considering that classical techniques are focused on acting as guides and are dependent on help from therapists, significant efforts are being made to improve current methodologies and to use eHealth and Web-based architectures to implement information and communication technology (ICT) systems that achieve reliable, personalized, and home-based platforms to increase efficiency and level of attractiveness for patients and carers.

objectiveThe goal of this work was to provide an overview of the practices implemented for the assessment of stroke patients and cognitive rehabilitation. This study puts together traditional methods and the most recent personalized platforms based on ICT technologies and Internet of Things.

methodsA literature review has been distributed to a multidisciplinary team of researchers from engineering, psychology, and sport science fields. The systematic review has been focused on published scientific research, other European projects, and the most current innovative large-scale initiatives in the area. A total of 3469 results were retrieved from Web of Science, 284 studies from Journal of Medical Internet Research, and 15 European research projects from Community Research and Development Information Service from the last 15 years were reviewed for classification and selection regarding their relevance.

resultsA total of 7 relevant studies on the screening of stroke patients have been presented with 6 additional methods for the analysis of kinematics and 9 studies on the execution of goal-oriented activities. Meanwhile, the classical methods to provide cognitive rehabilitation have been classified in the 5 main techniques implemented. Finally, the review has been finalized with the selection of 8 different ICT-based approaches found in scientific-technical studies, 9 European projects funded by the European Commission that offer eHealth architectures, and other large-scale activities such as smart houses and the initiative City4Age.

conclusionsStroke is one of the main causes that most negatively affect countries in the socioeconomic aspect. The design of new ICT-based systems should provide 4 main features for an efficient and personalized cognitive rehabilitation: support in the execution of complex daily tasks, automatic error detection, home-based performance, and accessibility. Only 33% of the European projects presented fulfilled those requirements at the same time. For this reason, current and future large-scale initiatives focused on eHealth and smart environments should try to solve this situation by providing more complete and sophisticated platforms.

Indexed as

activities of daily livingcognitiondelivery of health careeHealthrehabilitationstroke

Identifiers

PMID29581093
PMCPMC5891670

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.