Results 1 to 10 of about 1,627,723 (349)

Voice analysis results in individuals with Alzheimer's disease: How do age and cognitive status affect voice parameters? [PDF]

open access: goldBrain and Behavior, 2023
Background Reports of acoustic changes in the voice in individuals with Alzheimer's disease (AD) and the relationship of acoustic changes with age and cognitive status are still limited.
Mümüne Merve Parlak   +4 more
doaj   +4 more sources

Acoustic Voice Analysis as a Useful Tool to Discriminate Different ALS Phenotypes [PDF]

open access: yesBiomedicines, 2023
Approximately 80–96% of people with amyotrophic lateral sclerosis (ALS) become unable to speak during the disease progression. Assessing upper and lower motor neuron impairment in bulbar regions of ALS patients remains challenging, particularly in ...
Giammarco Milella   +9 more
doaj   +2 more sources

Sleep deprivation detected by voice analysis. [PDF]

open access: yesPLoS Comput Biol, 2022
AbstractSleep deprivation has an ever-increasing impact on individuals and societies. Yet, to date, there is no quick and objective test for sleep deprivation. Here, we used automated acoustic analyses of the voice to detect sleep deprivation. Building on current machine-learning approaches, we focused on interpretability by introducing two novel ideas:
Thoret E   +4 more
europepmc   +5 more sources

Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis [PDF]

open access: yesIEEE Access, 2021
The Covid-19 pandemic represents one of the greatest global health emergencies of the last few decades with indelible consequences for all societies throughout the world.
Laura Verde   +5 more
doaj   +2 more sources

Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis [PDF]

open access: yesFrontiers in Neurology, 2023
IntroductionDeep brain stimulation of the subthalamic nucleus (STN-DBS) can exert relevant effects on the voice of patients with Parkinson's disease (PD).
Antonio Suppa   +53 more
doaj   +2 more sources

Feasibility of Big Data Analytics to Assess Personality Based on Voice Analysis [PDF]

open access: yesSensors
(1) Background: As far back as the 1930s, it was already thought that gestures, clothing, speech, posture, and gait could express an individual’s personality.
Víctor J. Rubio   +3 more
doaj   +2 more sources

Voice Analysis as a Method for Preoperatively Predicting a Difficult Airway Based on Machine Learning Algorithms: Original Research Report [PDF]

open access: yesHealth Science Reports
Background and Aims An unanticipated difficult airway is one of the greatest challenges for anesthesiologists. Proper preoperative airway assessment is crucial to reducing complications.
Claudia Rodiera   +9 more
doaj   +2 more sources

Editorial: Voice analysis in healthy subjects and patients with neurologic disorders [PDF]

open access: yesFrontiers in Neurology, 2023
Antonio Suppa   +4 more
doaj   +2 more sources

Utilization of Machine Learning-Based Computer Vision and Voice Analysis to Derive Digital Biomarkers of Cognitive Functioning in Trauma Survivors [PDF]

open access: yesDigital Biomarkers, 2020
Background: Alterations in multiple domains of cognition have been observed in individuals who have experienced a traumatic stressor. These domains may provide important insights in identifying underlying neurobiological dysfunction driving an individual’
Katharina Schultebraucks   +2 more
doaj   +2 more sources

Evaluation of Speech and Pause Alterations in Patients With Acute and Chronic Heart Failure

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022
Background Acute heart failure is the most frequent cause of unplanned hospital admission in elderly patients. Various biomarkers have been evaluated to better assess the status of these patients and prevent decompensation.
Dario Schöbi   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy