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This research was funded by EIT-Health, grant number 19091 (POSITIVE project).

Analysis of institutional authors

Cobo, AntonioAuthorVillalba-Mora, ElenaCorresponding AuthorFerré, XavierAuthorEscalante, WalterAuthorMoral, CristianAuthor

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Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults

Publicated to:Sensors. 20 (20): 1-24 - 2020-10-01 20(20), DOI: 10.3390/s20205813

Authors: Cobo, Antonio; Villalba-Mora, Elena; Perez-Rodriguez, Rodrigo; Ferre, Xavier; Escalante, Walter; Moral, Cristian; Rodriguez-Manas, Leocadio

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Abstract

The present paper describes a system for older people to self-administer the 30-s chair stand test (CST) at home without supervision. The system comprises a low-cost sensor to count sit-to-stand (SiSt) transitions, and an Android application to guide older people through the procedure. Two observational studies were conducted to test (i) the sensor in a supervised environment (n = 7; m = 83.29 years old, sd = 4.19; 5 female), and (ii) the complete system in an unsupervised one (n = 7; age 64-74 years old; 3 female). The participants in the supervised test were asked to perform a 30-s CST with the sensor, while a member of the research team manually counted valid transitions. Automatic and manual counts were perfectly correlated (Pearson's r = 1, p = 0.00). Even though the sample was small, none of the signals around the critical score were affected by harmful noise; p (harmless noise) = 1, 95% CI = (0.98, 1). The participants in the unsupervised test used the system in their homes for a month. None of them dropped out, and they reported it to be easy to use, comfortable, and easy to understand. Thus, the system is suitable to be used by older adults in their homes without professional supervision.

Keywords

30-s chair stand testAccumulationAgedAged, 80 and overDisabilityExercise testFemaleFrailtyFrailty syndromeGeriatric assessmentHumansMaleMiddle agedPerformanceSensorSignal processingSit-to-standSitting positionStanding positionStrengthTransitionsValidationWearable sensors

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Sensors due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position 14/64, thus managing to position itself as a Q1 (Primer Cuartil), in the category Instruments & Instrumentation.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.52, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-01, the following number of citations:

  • WoS: 12
  • Scopus: 14
  • Europe PMC: 8
  • Google Scholar: 21
  • OpenCitations: 12

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-01:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 48 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/81431/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 65
  • Downloads: 6

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Cobo Sánchez de Rojas, Antonio) .

the author responsible for correspondence tasks has been VILLALBA MORA, ELENA.