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

Antonio Cobo, Elena Villalba‐Mora, Rodrigo Pérez‐Rodríguez, Xavier Ferré, Walter Escalante Puente de la Vega, Cristian Moral, Leocadio Rodríguez‐Mañas

2020Sensors25 citationsDOIOpen Access PDF

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.

Topics & Concepts

Test (biology)Observational studyAndroid (operating system)Android applicationNoise (video)Computer sciencePsychologySimulationArtificial intelligenceMedicineStatisticsMathematicsOperating systemPaleontologyImage (mathematics)BiologyBalance, Gait, and Falls PreventionFrailty in Older AdultsContext-Aware Activity Recognition Systems
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