Results 51 to 60 of about 42,085 (248)

Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti   +6 more
wiley   +1 more source

Muscle myography for human–machine interfaces: a review of sensing modalities and control interfaces

open access: yesFrontiers in Bioengineering and Biotechnology
Muscle myography encompasses a family of techniques for sensing muscle activity through its electrical, mechanical, and optical manifestations, offering non-invasive and embodied pathways for human–machine interaction.
Sudhir Solomon Zhuwawu   +4 more
doaj   +1 more source

Criterion-Validity of Commercially Available Physical Activity Tracker to Estimate Step Count, Covered Distance and Energy Expenditure during Sports Conditions

open access: yesFrontiers in Physiology, 2017
Background: In the past years, there was an increasing development of physical activity tracker (Wearables). For recreational people, testing of these devices under walking or light jogging conditions might be sufficient.
Yvonne Wahl   +6 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Health Care Use Among Patients Presenting to Emergency Department for Gout Flares in Ontario, Canada: A Population‐Based Health Systems Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective We characterized emergency department (ED) gout visits and identified patient characteristics and health services patterns contributing to ED presentations. Methods We conducted a population‐based study of ED gout visits in Ontario, Canada, between 2014 and 2023.
Timothy S. H. Kwok   +7 more
wiley   +1 more source

Wearables and the brain [PDF]

open access: yes, 2019
The brain is the last frontier for wearable sensing. Commercially available wearables can monitor your vital signs and physical activity, but few have the ability to monitor what goes on inside your head.
Ward, Jamie A, Pinti, Paola
core   +4 more sources

Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)

open access: yesJournal of Open Innovation: Technology, Market and Complexity, 2020
Elderly diabetic patients in developed countries have been widely using digital health wearables for many years to manage their diabetes-related health data accurately.
Ashfaq Ahmad   +3 more
doaj   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

open access: yesArthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart   +5 more
wiley   +1 more source

Automated defect detection in nanomaterial-coated-fabrics using variational autoencoder

open access: yesJournal of Engineered Fibers and Fabrics
This paper introduces an unsupervised method for detecting regions with a high density of nanomaterials on coated fabric using Variational Autoencoder, a generative model capable of learning dominant features of the input data and generating similar ...
Nguyen Ngoc Tram, Kim Jooyong
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy