Robocup 2023-2024 ROSbag Dataset.

This dataset was collected during the 2023 and 2024 RoboCup competitions using the TIAGo robot equipped with an RGB-D camera, a Hokuyo laser, and a RODE microphone. The dataset includes ROSbag files that capture the robot's sensory data and planning task behavior, as well as video recordings that provide third-person perspectives of task execution. These data provide information about the performance of autonomous robots in social tasks and navigation in dynamic environments with human interaction.

Effects of Monitoring Frailty Through a Mobile/Web-Based Application and a Sensor Kit to Prevent Functional Decline in Frail and Prefrail Older Adults: FACET (Frailty Care and Well Function) Pilot Randomized Controlled Trial.

Background: Frailty represents a state of susceptibility to stressors and constitutes a dynamic process. Untreated, this state can progress to disability. Hence, timely detection of alterations in patients' frailty status is imperative to institute prompt clinical interventions and impede frailty progression.

A visual questioning answering approach to enhance robot localization in indoor environments.

Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an innovative approach to enhance robot localization in dynamic and intricate spaces like homes and offices. We leverage Visual Question Answering (VQA) techniques to integrate semantic insights into traditional mapping methods, formulating a novel position hypothesis generation to assist localization methods, while also addressing challenges related to mapping accuracy and localization reliability.

Frailty detection in older adults via fractal analysis of acceleration signals from wrist-worn sensors.

Purpose: Frailty is a reversible multidimensional syndrome that puts older people at a high risk of adverse health outcomes. It has been proposed to emerge from the dysregulation of the complex system dynamics of physiologic control systems. We propose the analysis of the fractal complexity of hand movements as a new method to detect frailty in older adults.

Integrated health system to assess and manage frailty in community dwelling: Co-design and usability evaluation.

Objective: We aimed to co-create and evaluate an integrated system to follow-up frailty in a community dwelling environment and provide a multi-modal tailored intervention. Frailty and dependency among the older population are a major challenge to the sustainability of healthcare systems. Special attention must be paid to the needs and particularities of frail older persons as a vulnerable group.

Preventing frailty with the support of a home-monitoring and communication platform among older adults-a study protocol for a randomised-controlled pilot study in Sweden.

Background: POSITIVE (i.e. maintaining and imPrOving the intrinSIc capaciTy Involving primary care and caregiVErs) is a new intervention program consisting of home-monitoring equipment and a communication platform to support treatment of frailty symptoms initially in primary care and prevent disability in older adults.

Home Monitoring System for Comprehensive Geriatric Assessment in Patient's Dwelling: System Design and UX Evaluation.

Population aging threatens the sustainability of welfare systems since it is not accompanied by an extended healthy and independent period in the last years of life. The Comprehensive Geriatric Assessment (CGA) has been shown to be efficient in maintaining the healthy period at the end of the life. Frailty monitoring is typically carried out for an average period of 6 months in clinical settings, while more regular monitoring could prevent the transition to disability.

Usability, User Experience, and Acceptance Evaluation of CAPACITY: A Technological Ecosystem for Remote Follow-Up of Frailty.

Frailty predisposes older persons to adverse events, and information and communication technologies can play a crucial role to prevent them. CAPACITY provides a means to remotely monitor variables with high predictive power for adverse events, enabling preventative personalized early interventions. This study aims at evaluating the usability, user experience, and acceptance of a novel mobile system to prevent disability.

[Positive Project: maintenance and improvement of intrinsic capacity involving primary care and caregivers through a home monitoring system and a telematic services platform.].

POSITIVE (acronym for Maintaining and imPrOving the intrinSIc capaciTy Involving primary care and caregiVErs) is an EIT Health funded project. Its main objective is to make available to the elderly population, caregivers and the different clinical professionals involved in their care, both primary and hospital care, a home monitoring system that allows a better management and treatment of frailty, in order to maintain or improve the intrinsic capacity of the elderly, as well as to avoid disability through a telematic platform of services. The POSITIVE technological ecosystem allows data collection and remote monitoring of the state of pre-fragility and fragility in a community environment, enabling early interventions aimed at preventing disability and dependence.

Unobtrusive Sensors for the Assessment of Older Adult's Frailty: A Scoping Review.

Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults' frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers.

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

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 ( = 7; m = 83.

Monitoring and Intervention Technologies to Manage Diabetic Older Persons: The CAPACITY Case-A Pilot Study.

Diabetes Mellitus is a chronic disease with a high prevalence among older people, and it is related to an increased risk of functional and cognitive decline, in addition to classic micro and macrovascular disease and a moderate increase in the risk of death. Technology aimed to improve elder care and quality of life needs to focus in the early detection of decline, monitoring the functional evolution of the individuals and providing ways to foster physical activity, to recommend adequate nutritional habits and to control polypharmacy. But apart from all these core features, some other elements or modules covering disease-specific needs should be added to complement care.

Portable Ultrasound-Based Device for Detecting Older Adults' Sit-to-Stand Transitions in Unsupervised 30-Second Chair-Stand Tests.

Lower-limb strength is a marker of functional decline in elders. This work studies the feasibility of using the quasi-periodic nature of the distance between a subjects' back and the chair backrest during a 30-s chair-stand test (CST) to carry out unsupervised measurements based on readings from a low-cost ultrasound sensor. The device comprises an ultrasound sensor, an Arduino UNO board, and a Bluetooth module.

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

Chronicity is a problem that is affecting quality of life and increasing healthcare costs worldwide. Predictive tools can help mitigate these effects by encouraging the patients' and healthcare system's proactivity. This research work uses supervised learning techniques to build a predictive model of the healthcare status of a chronic patient, using Clinical Risk Groups (CRGs) as a measure of chronicity and prescription and diagnosis data as predictors.

FriWalk robotic walker: usability, acceptance and UX evaluation after a pilot study in a real environment.

: Scientific evidence supports that prevention strategies like multicomponent physical exercise help avoiding functional decline, falls and frailty. The robotic walker FriWalk, developed within the ACANTO project, supports the execution of controlled physical activities during hospital admission to prevent functional deterioration associated to prolonged bedrest. FriWalk shows in a clinical validation study a positive relationship with improvement in physical performance, basic activities of daily living execution and frailty status.

Objective motor assessment for personalized rehabilitation of upper extremity in brain injury patients.

Background: The increasing number of patients with acquired brain injury and the current subjectivity of the conventional upper extremity (UE) assessment tests require new objective assessment techniques.

Objective: This research proposes a novel objective motor assessment (OMA) methodology based on the Fugl-Meyer assessment (FMA). The goals are to automatically calculate the objective scores (OSs) of FMA-UE movements (as well as a global OS) and to interpret the estimated OSs.

A First Step for the Automation of Fugl-Meyer Assessment Scale for Stroke Subjects in Upper Limb Physical Neurorehabilitation.

This paper proposes a first approach for the automation of the Fugl-Meyer assessment scale used in physical neurorehabilitation. The main goal of this research is to automatically estimate an objective measurement for five Fugl-Meyer scale items related to the assessment of the upper limb motion. An objective score has been calculated for 7 patients.

Supervised classification of psychomotor competence in minimally invasive surgery based on instruments motion analysis.

Background: Objective assessment of psychomotor skills has become an important challenge in the training of minimally invasive surgical (MIS) techniques. Currently, no gold standard defining surgical competence exists for classifying residents according to their surgical skills. Supervised classification has been proposed as a means for objectively establishing competence thresholds in psychomotor skills evaluation.