Results 61 to 70 of about 22,874 (301)

On the dual structure of the auditory brainstem response in dogs [PDF]

open access: yes, 2006
Objective: To use the over-complete discrete wavelet transform (OCDWT) to further examine the dual structure of auditory brainstem response (ABR) in the dog.
A.P. Bradley   +45 more
core   +2 more sources

Genetic epilepsies with myoclonic seizures: Mechanisms and syndromes

open access: yesEpilepsia Open, EarlyView.
Abstract Genetic epilepsy with myoclonic seizures encompasses a heterogeneous spectrum of conditions, ranging from benign and self‐limiting forms to severe, progressive disorders. While their causes are diverse, a significant proportion stems from genetic abnormalities.
Antonietta Coppola   +3 more
wiley   +1 more source

Using EEG and NIRS for brain-computer interface and cognitive performance measures: a pilot study [PDF]

open access: yes, 2013
This study addresses two important problem statements, namely, selection of training datasets for online Brain-Computer Interface (BCI) classifier training and determination of participant concentration levels during an experiment.
Gupta, Cota Navin   +1 more
core   +1 more source

Semiology in spontaneous versus cortical stimulation‐induced seizures during SEEG: A within‐patient comparison study

open access: yesEpilepsia Open, EarlyView.
Abstract Objective We aimed to study the concordance of seizure semiology in direct electrical stimulation‐induced seizures (SIS) compared to spontaneous seizures during stereoelectroencephalography (SEEG) and to report on patient‐level variables associated with habitual and atypical SIS.
Marai Mahizhnan   +5 more
wiley   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Electrically Evoked Auditory Brainstem Response Using Extracochlear Stimulation at Different Cochlear Sites: A Comparison With Intracochlear Stimulation [PDF]

open access: yesClinical and Experimental Otorhinolaryngology
Objectives. The distribution and extent of excitable spiral ganglion neurons (SGNs) have been investigated using the electrically evoked auditory brainstem response (EABR) during preoperative and perioperative periods.
Woongsang Sunwoo   +2 more
doaj   +1 more source

Experiences of Diagnostic Radiography Students With Workplace‐Based and Online Learning During the COVID‐19 Pandemic: A Study Across Four Higher Education Institutions in South Africa

open access: yesJournal of Medical Radiation Sciences, EarlyView.
This study explored diagnostic radiography students' learning experiences during COVID‐19 across four South African Higher Education Institutions. Themes included challenges with clinical placements, PPE and online learning, as well as inclusive learning enablers. Findings inform strategies to support students during future crises.
Siyabonga Goodwill Hadebe   +2 more
wiley   +1 more source

Timing of evoked potentials forecasting the prognosis of severe stroke patients

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery, 2015
Objective To investigate the best assessment time of short-latency somatosensory-evoked potential (SLSEP) and brain stem auditory-evoked potential (BAEP) in predicting the prognosis of patients with acute severe stroke.
Shu-ying XIAO   +5 more
doaj  

Rapid Nasal Breathing as a Biometric Trigger: High-Accuracy Electroencephalogram-Based Authentication for Clinical Applications. [PDF]

open access: yesClin Respir J
Our study demonstrates rapid nasal breathing‐evoked EEG signals enable high‐accuracy (98.3%) biometric authentication via a hybrid ResNet‐Swin Transformer model. This noninvasive approach eliminates external stimuli, offering secure patient identification for critical respiratory care settings, such as ventilator access and continuous monitoring ...
Chen C   +8 more
europepmc   +2 more sources

Unlocking Privacy in Healthcare: The Impact of Explanations on Privacy Concerns and Self‐Disclosure to Conversational Technologies

open access: yesJournal of Operations Management, EarlyView.
ABSTRACT While artificial intelligence (AI)‐based conversational technologies offer exciting prospects in healthcare, the lack of transparency and elevated privacy concerns in using such technologies remain a challenge and make much‐needed information difficult to obtain while administering patient care.
Hashai Papneja, Sarv Devaraj
wiley   +1 more source

Home - About - Disclaimer - Privacy