Results 41 to 50 of about 2,924 (161)
Computer Vision Technologies in Movement Disorders: A Systematic Review
Movement Disorders Clinical Practice, EarlyView.Abstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pasquale Maria Pecoraro +4 more
wiley +1 more source
Application of integrated perturbation index and articulatory precision index in patients with spasmodic dysphonia [PDF]
, 2014 La disfonía espasmódica es un desorden vocal severo caracterizado por una interrupción involuntaria de la fonación, denominada también distonía focal laríngea.
Gurlekian, Jorge Alberto, Sigal, Liliana
core
Subjective Well‐Being and Its Predictors in Parkinson's Disease and Dystonia: A Comparative Study
Movement Disorders Clinical Practice, EarlyView.Abstract Background Quality of life (QoL) is a commonly used outcome measure in people with chronic neurological diseases (CND). As valuable as QoL is, it does not take into account aspects of subjective well‐being (SWB) such as subjective happiness, meaning in life, life satisfaction and hope; all constructs that are considered central to well‐being ...
Suzette Shahmoon +5 more
wiley +1 more source
Diagnosis and Treatment of Laryngeal Dystonia: Past, Present and Future Directions [PDF]
, 2016 Background: Laryngeal dystonia is a task-specific focal dystonia of the internal laryngeal muscles. Methods: Peer-reviewed articles on laryngeal dystonia from PUBMED were identified.
Blitzer, Andrew, Mor, Niv
core +2 more sources
Vocal aging and adductor spasmodic dysphonia: Response to botulinum toxin injection [PDF]
, 2008 Aging of the larynx is characterized by involutional changes which alter its biomechanical and neural properties and create a biological environment that is different from younger counterparts. Illustrative anatomical examples are presented. This natural,
Cannito, Michael P +2 more
core +3 more sources
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Spasmodic dysphonia is a laryngeal dystonia that can present as adductor, abductor, or mixed types, with or without tremor. The etiology is not understood fully. Comprehensive evaluation is required to establish the diagnosis. Treatments include voice therapy, medications, botulinum toxin injection, laryngeal surgery, deep brain stimulation ...
Aaron J. Jaworek, Robert T. Sataloff
wiley +1 more source
The Role of Laryngoscopy in the Diagnosis of Spasmodic Dysphonia [PDF]
JAMA Otolaryngology–Head & Neck Surgery, 2014 Spasmodic dysphonia (SD) can be difficult to diagnose, and patients often see multiple physicians for many years before diagnosis. Improving the speed of diagnosis for individuals with SD may decrease the time to treatment and improve patient quality of life more quickly.To assess whether the diagnosis of SD can be accurately predicted through auditory
Adam D. Rubin +6 more
openaire +3 more sources
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Objective To discuss the current clinical application and usefulness, shortcomings and future directions of traditional and artificial intelligence (AI)‐driven acoustic assessment techniques to detect voice dysfunction. Data Sources Literature review.
Meike Brockmann‐Bauser
wiley +1 more source
Medical treatment of dystonia [PDF]
, 2016 Therapeutic strategies in dystonia have evolved considerably in the past few decades. Three major treatment modalities include oral medications, botulinum toxin injections and surgical therapies, particularly deep brain stimulation.
Pichet Termsarasab +2 more
core +2 more sources
Applications of Artificial Intelligence in Neurological Voice Disorders
World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao +2 more
wiley +1 more source