Evidence map›Paper›PMID 38784051›Full record

ArticleDigital health

Assessment of cognitive games to improve the quality of life of Parkinson's and Alzheimer's patients.

Álvaro Llorente, Alberto Del Rio, Yusuf Can Semerci, Jorge Alfonso Kurano, David Jimenez, José Manuel Menéndez

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Álvaro LlorenteSignals, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0001-8737-2402
Alberto Del RioSignals, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-6832-4381
Yusuf Can SemerciDepartment of Advanced Computing Sciences, Maastricht University, Maastricht, Limburg, Netherlands.ORCID https://orcid.org/0000-0002-7946-1330
Jorge Alfonso KuranoSignals, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.
David JimenezPhysical Electronics, Electrical Engineering and Applied Physics Department, Universidad Politécnica de Madrid, Madrid, Spain.ORCID https://orcid.org/0000-0002-7382-4276
José Manuel MenéndezSignals, Systems and Radiocommunications Department, Universidad Politécnica de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The core objectives of this study centre on enhancing the quality of life and well-being of individuals diagnosed with Parkinson's and Alzheimer's diseases. Our aim is to facilitate the monitoring of patient information, benefiting both caregivers and healthcare professionals. Methods: As part of the PROCare4Life platform sensorial ecosystem, a web application with six engaging cognitive games focusing on developing cognitive training and stimulating brain activity are developed. A set of metrics calculated by the application feed machine learning predictive models to evaluate the cognitive status and evolution over time. Long-term analysis of the daily cognitive ability information is used to generate high-level outcomes and identify deviations for each patient from the multimodal fusion engine. And based on these results, a recommender system provides a set of personalized notifications. Results: A 3-month pilot study that took place in five different countries shows the results obtained from 93 patients. An average of 22.4 games were completed per day and the recommender system generated a total of 260 game notifications, 37.7% of them were marked as read by the patients. The Cognitive State Score and the Deviations in Cognitive Abilities measurement, calculated by the multimodal fusion engine, when used in conjunction present a good overview of the patient's current state and potential deviations. Conclusion: The cognitive games application was well-received by elderly individuals who took part in the study. This tool can be valuable for caregivers and healthcare providers in assessing the cognitive function of patients through engaging in cognitive games.

Indexed as

Alzheimercognitive gamescognitive skillsdementiaelderlyhealthcareParkinsonpersonalized notificationquality of life

Identifiers

PMID38784051
PMCPMC11113061

What OpenQuestion holds

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Registered trials

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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.