The Cuatroochenta Chair of the UJI tests a technological application to detect frailty in older people



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## The Cuatroochenta Chair of the UJI tests a technological application to detect frailty in older people Some 50 elderly people from Castelló take the first tests with the system for the early detection of dependence developed by the Chair.

11/07/2022 |
SCP

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* [![ catedra-cuatroochenta EJERCICIOSMOVILIDADPERSONASMAYORES00498670](/com/noticies/2022/7/1q/catedra-cuatroochenta/EJERCICIOSMOVILIDADPERSONASMAYORES00498670.00_02_04_14.Imagenfija005.jpg)](#)

The Cuatroochenta Chair in Artificial Intelligence, Health and Wellbeing of the Universitat Jaume I (UJI) has carried out the first tests with its system to detect signs of frailty in a group of users of a geriatric centre in Castelló de la Plana last June.

Developed by the Chair's team, the device is based on the 3D technology cameras of the company Kineactive, used to monitor the exercise of people undergoing rehabilitation. It aims to detect signs of physical fragility through three tests where the participant is sequentially guided by instructions. These tests relate to walking speed, the person's ability to sit and stand and, finally, a balance test. The device is adapted so that the elderly can easily follow the instructions, which combine text and audio. In fact, the technological solution has been generally well received by users for its ease of use and usefulness.

**Comprehensive frailty assessment**  
In addition to the assessment of physical frailty with the 3D camera, cognitive and social frailty was also studied during the pilot test. For this purpose, two questionnaires were administered: the Pfeiffer questionnaire, one of the most widely used instruments for the detection of cognitive impairment, mainly in the elderly population, consisting of 10 short questions that assess memory and other cognitive functions; and for the social aspect, the Garre-Olmo et al. social frailty scale, which collects information on who the person normally lives with, how often they see their family and friends or whether they would have help if they needed it from significant others. Finally, several measurements such as height, weight and grip strength were also taken.

**Adaptation of the device to the elderly**  
To find out the opinion of the people who tested the camera, a usability questionnaire was carried out. Collecting this information will allow the different features and functionalities included in the camera to be adapted to the users. All the information obtained has been useful to continue improving the camera in terms of the viability and effectiveness of the evaluation of the different tests, as well as the ergonomics and adaptability to the group of elderly people.

**Improvement in the management of results**  
The data corresponding to the different tests were managed through a mobile app, developed by the Computer Engineering student and member of the Chair's team Arturo Gascó. In the future, this software will allow health professionals to digitalise the administration of classic tests to detect the risk of dependence, thus improving the efficiency and management of the results obtained; to consult the information in a synthesised and agile way, obtaining a first result on whether the person is in a state of frailty or not; and finally, to facilitate the monitoring of the person's state of health.

**Current work of the Chair**  
The Chair's team is currently working on adapting the camera using the feedback provided by users in this first pilot test. Soon, the group plans to carry out more tests in other centres in the city of Castelló with the aim of having the camera ready so that elderly people can benefit from its use as soon as possible.

[Video of the test](https://www.youtube.com/watch?time_continue=1&v=l9aBgwTM1yc&feature=emb_title)

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