Results 31 to 40 of about 281,919 (258)
Event-Centered Data Segmentation in Accelerometer-Based Fall Detection Algorithms
Automatic fall detection systems ensure that elderly people get prompt assistance after experiencing a fall. Fall detection systems based on accelerometer measurements are widely used because of their portability and low cost.
Goran Šeketa +4 more
doaj +1 more source
Pre-impact fall detection has been proposed to be an effective fall prevention strategy. In particular, it can help activate on-demand fall injury prevention systems (e.g. inflatable hip protectors) prior to fall impacts, and thus directly prevent the fall-related physical injuries.
Hu, Xinyao, Qu, Xingda
openaire +2 more sources
Background: Falls are a significant incident among older adults affecting one in every three individuals aged 65 and over. Fall risk increases with age and other factors, namely instability.
Kawthar Abdul Rahman +6 more
doaj +1 more source
Research on pre-impact fall detection with wearable inertial sensors (detecting fall accidents prior to body-ground impacts) has grown rapidly in the past decade due to its great potential for developing an on-demand fall-related injury prevention system.
Xiaoqun Yu, Jaehyuk Jang, Shuping Xiong
doaj +1 more source
Fall detection in dusky environment [PDF]
Accidental fall is the most prominent factor that causes the accidental death of elder people due to their slow body reaction. Automatic fall detection technology integrated in a health-care system can assist human monitoring the occurrence of fall, especially in dusky environments.
Ying-Nong Chen +4 more
openaire +2 more sources
This paper makes four scientific contributions to the field of fall detection in the elderly to contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive living environments, such as smart homes. First, it presents and
Nirmalya Thakur, Chia Y. Han
doaj +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Human Fall Detection Using 3D Multi-Stream Convolutional Neural Networks with Fusion
Human falls, especially for elderly people, can cause serious injuries that might lead to permanent disability. Approximately 20–30% of the aged people in the United States who experienced fall accidents suffer from head trauma, injuries, or bruises ...
Thamer Alanazi, Ghulam Muhammad
doaj +1 more source
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
The Effect of Personalization on Smartphone-Based Fall Detectors
The risk of falling is high among different groups of people, such as older people, individuals with Parkinson's disease or patients in neuro-rehabilitation units.
Carlos Medrano +4 more
doaj +1 more source

