Latest AI and machine learning research in neurology for healthcare professionals.
In this paper, we have investigated the differences in the voices of Parkinson's disease (PD) and age-matched control (CO) subjects when uttering three phonemes using two complexity measures: fractal dimension (FD) and normalised mutual information (NMI). Three sustained phonetic voice recordings, /a/, /u/ and /m/, from 22 CO (mean age = 66.91) and 24 PD (mean age = 71.83) participants were analys...
The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, subjective, and costly. To overcome this shortcoming, we aimed to develop an accurate deep learning approach for automatic classification of sleep stages and to study the effect of O...
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's diseas...
BACKGROUND: Advances in artificial intelligence (AI), robotics and wearable computing are creating novel technological opportunities for mitigating th...
BACKGROUND: As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared with other physiological signals, EEG signals are d...
Machine learning, one of the core disciplines of artificial intelligence, is an approach whose main emphasis is analytical model building. In other wo...
Research suggests that the use of creative, artistic activities in later life may positively impact the psychological well-being of older adults. Soci...
OBJECTIVE: To describe the landmarks for localization and to determine the methodology and volume of methylene blue dye to adequately stain the auricu...
In the present article, a novel emotional complexity marker is proposed for classification of discrete emotions induced by affective video film clips....
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. Mild cognitive impairment (MCI) is a clinical precursor of AD....
BACKGROUND: Ultrasound guidance has dramatically improved the accuracy of nerve localization, and various adjuvants prolong the block and extend analg...
BACKGROUND AND AIM: The spinal anesthesia in a cesarean section is still presenting a challenge to the anesthetist in the form of either severe hypote...
Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biom...
Levetiracetam is an antiepileptic medication commonly used in critical care areas for seizure treatment or prophylaxis. Compatibility data of levetir...
Depression or Major Depressive Disorder (MDD) is a mental illness which negatively affects how a person thinks, acts or feels. MDD has become a major ...
According to previous studies, many neuroanatomical alterations have been detected in patients with tinnitus. However, the results of these studies ha...
Parkinson's disease (PD) is a slowly progressive geriatric disease, which can be one of the leading causes of serious socioeconomic burden in the agin...
Hand movement classification via surface electromyographic (sEMG) signal is a well-established approach for advanced Human-Computer Interaction. Howev...
New technology, such as social robots, opens up new opportunities in hospital settings. PARO, a robotic pet seal, was designed to provide emotional an...
Epilepsy is a neurological disorder characterized by sudden and unpredictable epileptic seizures, which incurs significant negative impacts on patient...