Results 131 to 140 of about 31,323 (271)

Drowsiness Detection in Drivers Using Facial Feature Analysis

open access: yesApplied Sciences
Drowsiness has been recognized as a leading factor in road accidents worldwide. Despite considerable research in this area, this paper aims to improve the precision of drowsiness detection specifically for long-haul travel by employing the Dlib-based ...
Ebenezer Essel   +4 more
doaj   +1 more source

Modified Sleep Apnea Severity Index and Cardiovascular Risk in CPAP‐Intolerant OSA Patients

open access: yesThe Laryngoscope, EarlyView.
The modified sleep apnea severity index (mSASI) combines patient anatomy, weight, sleep study metrics, and symptoms into a composite OSA index ranging from 1 (least severe) to 3 (most severe). Our study found that mSASI correlated better with baseline cardiovascular risk measured by the 5‐year Framingham Risk Score compared to the AHI.
Praneet C. Kaki   +8 more
wiley   +1 more source

Evaluating Sleep Apnea: In‐Lab Versus at‐Home Recording Time and the Impact of Positional Disease

open access: yesThe Laryngoscope, EarlyView.
We evaluated the minimum recording time needed for in‐lab polysomnography (PSG1) and home sleep apnea test Type 3 portable monitoring (HSAT) to accurately reflect the full‐night apnea–hypopnea index (AHI) in patients with suspected obstructive sleep apnea (OSA).
Raquel Chartuni Pereira Teixeira   +1 more
wiley   +1 more source

Clinical Outcome Assessments in Parkinson's Disease: A Scoping Review of Current Rating Scales and Future Needs

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Clinical outcome assessments (COAs) are essential for evaluating symptom severity, treatment response, and disease progression in Parkinson's disease (PD). As clinical knowledge evolves, it is necessary to revisit the recommendation status on the COAs to ensure their continued relevance and validity. Objectives To provide an updated
Evita Papathoma   +14 more
wiley   +1 more source

Evaluating the Role of α‐Synuclein Seed Amplification as a Disease Progression Marker: Evidence and Uncertainties

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background α‐synuclein seeding amplification assay (α‐synuclein SAA) development as a diagnostic biomarker for Parkinson's disease (PD) has shown promising results over the past decade. However, the utility of these assays in the prediction of disease progression is unclear.
Daniel Belete   +5 more
wiley   +1 more source

Capturing Behavioral Symptoms in Huntington's Disease Using the Huntington's Disease‐Behavioral Questionnaire

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background The Huntington's Disease Behavioral Questionnaire (HD‐BQ) captures behavioral symptoms arising from cognitive, psychiatric, and functional domains. Recognizing the high prevalence of anosognosia in HD, the HD‐BQ incorporates patient‐ and companion‐reported versions.
Siena Rigatuso   +5 more
wiley   +1 more source

A CNN-Based Wearable System for Driver Drowsiness Detection. [PDF]

open access: yesSensors (Basel), 2023
Li Y   +6 more
europepmc   +1 more source

The Hidden Burden of Hemifacial Spasm: A Systematic Review of Non‐Motor Symptoms

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Hemifacial spasm (HFS) is a chronic neurological disorder characterized by involuntary contractions of facial muscles. Traditionally regarded as a motor condition, HFS encompasses a spectrum of non‐motor symptoms that are often overlooked but significantly affect patients’ quality of life.
Miriam Carvalho Soares   +2 more
wiley   +1 more source

Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance. [PDF]

open access: yesSensors (Basel), 2023
Amidei A   +6 more
europepmc   +1 more source

DRIVER DROWSINESS DETECTION SYSTEMS

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Car accidents are frequently caused due to many reasons like drowsiness, drunkenness or tiredness, which has serious consequences for traffic safety. Numerous factors, such as fatigue, intoxication, or drowsiness, commonly contribute to car accidents, which have detrimental effects on traffic safety.
openaire   +1 more source

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