Gerontecnologias e internet das coisas para prevenção de quedas em idosos: revisão integrativa

JL Diniz, VF Sousa, JFV Coutinho, ÍL Araújo… - Acta Paulista de …, 2022 - SciELO Brasil
Objetivo Identificar na literatura as gerontecnologias Internet das Coisas desenvolvidas
para prevenção de acidentes por quedas em idosos. Métodos Revisão integrativa …

Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network

SK Gharghan, SL Mohammed, A Al-Naji… - Energies, 2018 - mdpi.com
Falls are the main source of injury for elderly patients with epilepsy and Parkinson's disease.
Elderly people who carry battery powered health monitoring systems can move unhindered …

Alarming and/or alerting device effectiveness in reducing falls in long-term care (LTC) facilities? A systematic review

M Mileski, M Brooks, JB Topinka, G Hamilton, C Land… - Healthcare, 2019 - mdpi.com
Perceptions against the use of alarming devices persist in long-term care environments as
they are seen as annoying, costly, and a waste of time to the staff involved. Ascertaining …

Novel hierarchical fall detection algorithm using a multiphase fall model

CY Hsieh, KC Liu, CN Huang, WC Chu, CT Chan - Sensors, 2017 - mdpi.com
Falls are the primary cause of accidents for the elderly in the living environment. Reducing
hazards in the living environment and performing exercises for training balance and …

“You Can't Fix What You Can't Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning

M Juarez, A Korolova - … through the Lens of Causality and …, 2023 - proceedings.mlr.press
As in traditional machine learning models, models trained with federated learning may
exhibit disparate performance across demographic groups. Model holders must identify …

A battery-less and wireless wearable sensor system for identifying bed and chair exits in a pilot trial in hospitalized older people

RL Shinmoto Torres, R Visvanathan, D Abbott, KD Hill… - PloS one, 2017 - journals.plos.org
Falls in hospitals are common, therefore strategies to minimize the impact of these events in
older patients and needs to be examined. In this pilot study, we investigate a movement …

Risk of falling in a timed up and go test using an UWB radar and an instrumented insole

JC Ayena, L Chioukh, MJD Otis, D Deslandes - Sensors, 2021 - mdpi.com
Previously, studies reported that falls analysis is possible in the elderly, when using
wearable sensors. However, these devices cannot be worn daily, as they need to be …

Deep Learning with network of Wearable sensors for preventing the Risk of Falls for Older People

I Mishkhal, SAAL Kareem, HH Saleh… - IOP Conference Series …, 2020 - iopscience.iop.org
Activity recognition (AR) systems for older adults are common in residential health care
including hospitals or nursing homes; therefore, numerous solutions and studies presented …

[HTML][HTML] Analysis of Hospital Safety and Risk of Falls in the Elderly: A Cross-Sectional Study in Brazil

LM Carvalho, LB Lira, LB Oliveira, AM Mendes… - International Journal of …, 2024 - mdpi.com
This study analyzed hospital safety and the risk of falls in elderly people in a university
hospital in Brazil. The Morse Falls Scale was used to stratify the risk of falls in 45 …

High accuracy human activity recognition using machine learning and wearable devices' raw signals

A Papaleonidas, AP Psathas… - Journal of Information and …, 2022 - Taylor & Francis
Human activity recognition (HAR) is vital in a wide range of real-life applications such as
health monitoring of olderly people, abnormal behaviour detection and smart home …