In recent years, wearable devices have been increasingly used to monitor people's health. This has helped healthcare professionals provide timely interventions to support their patients. In this study, we investigated how wearables help people manage stress.
View Article and Find Full Text PDFPast research has demonstrated that older adults tend to use daily activities as cues to remember to take medications. However, they may still experience medication non-adherence because they did not select adequate contextual cues or face situations that interfere with their medication routines. This work addresses two research questions: (1) How does the association that older adults establish between their daily routines and their medication taking enable them to perform it consistently? (2) What problems do they face in associating daily routines with medication taking? For 30 days, using a mixed-methods approach, we collected quantitative and qualitative data from four participants aged 70-73 years old about their medication taking.
View Article and Find Full Text PDFJ Biomed Inform
August 2022
The main contribution of this paper is the application of the Persuasive System Design (PSD) model for the analysis and development of exergame systems to stimulate pediatric patients to adhere to short-term gait rehabilitation. It resulted in a novel therapy consisting of a video gaming and virtual reality (VG/VR) biofeedback system for treadmill gait rehabilitation, including a method for progressing the rehabilitation settings. During gait rehabilitation (GR) sessions, therapy settings need to be adjusted by physiotherapists, based on their clinical experience, to address the deficiencies of individuals while maximizing their motor functioning and maintaining their motivation.
View Article and Find Full Text PDFLittle attention has been paid to how medication management technologies, designed for older adults, modify the participation of family caregivers. We developed a tablet-based ambient display that provides external cues to remind and motivate older adults to take their medications. This study aimed to understand the effect of ambient displays on the involvement of family members in the elderly's medication management.
View Article and Find Full Text PDFBackground: Problems with prospective memory, which refers to the ability to remember future intentions, cause deficits in basic and instrumental activities of daily living, such as taking medications. Older adults show minimal deficits when they rely on mostly preserved and relatively automatic associative retrieval processes. On the basis of this, we propose to provide external cues to support the automatic retrieval of an intended action, that is, to take medicines.
View Article and Find Full Text PDFObjective: Forgetfulness is one of the main reasons of unintentional medication non-adherence. Adherence technologies that help people remember to take their medications on time often do not take into account the context of people's everyday lives. Existing evidence that highlights the effectiveness of remembering strategies that rely on contextual cues is largely based on research with older adults, and thus it is not clear whether it can be generalized to other populations or used to inform the design of wider adherence technologies that support medication self-management.
View Article and Find Full Text PDFComput Math Methods Med
March 2017
The cognitive deficits in persons with dementia (PwD) can produce significant functional impairment from early stages. Although memory decline is most prominent, impairments in attention, orientation, language, reasoning, and executive functioning are also common. Dementia is also characterized by changes in personality and behavioral functioning that can be very challenging for caregivers and patients.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
January 2014
We present an approach for personalizing nonpharmacological interventions for people with dementia (PwD) using ontologies. We conducted two case studies to derive an ontological model to personalize the planning and execution of interventions to address problematic behaviors. The paper describes how the ontology was derived, and illustrates how it is used to tailor an ambient-assisted intervention system (AAIS) at two stages: first, to decide on the services that the AAIS will offer the PwD, and then to adapt these services at runtime using contextual information.
View Article and Find Full Text PDFObjective: To assess whether an intervention based on nurse home visits including alert buttons (NV+AB) is effective in reducing frailty compared to nurse home visits alone (NV-only) and usual care (control group) for older adults.
Design: Unblinded, randomized, controlled trial.
Setting: Insured population covered by the Mexican Social Security Institute living in the city of Ensenada, Baja California, Mexico.
Human activity inference is not a simple process due to distinct ways of performing it. Our proposal presents the SCAN framework for activity inference. SCAN is divided into three modules: (1) artifact recognition, (2) activity inference, and (3) activity representation, integrating three important elements of Ambient Intelligence (AmI) (artifact-behavior modeling, event interpretation and context extraction).
View Article and Find Full Text PDFIEEE Trans Inf Technol Biomed
December 2004
Hospital workers are highly mobile; they are constantly changing location to perform their daily work, which includes visiting patients, locating resources, such as medical records, or consulting with other specialists. The information required by these specialists is highly dependent on their location. Access to a patient's laboratory results might be more relevant when the physician is near the patient's bed and not elsewhere.
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