EEGs of 15 healthy subjects and 30 patients in early period after surgical ablation of tumours with basal localization, were investigated by means of monitor "Neuro-1" which allows to obtain in continuous regime characteristics of EEG dynamics according to power spectra and reveal the characteristics of intercentral relations of electrical brain processes by coherence and phase shifts. In healthy subjects in the period of transition from wakefulness to drowsiness highly coherent beta-rhythm (16-18 Hz) was revealed, preceeding typical picture of drowsiness and sleep. Study of the patients shows that certain characteristics of coherence and phasic shifts have an important prognostic value. Conclusion is made that for estimation of the functional state of healthy subjects during transition from wakefulness to drowsiness and of patients in early postoperative period the data on spectra of coherence are most informative.
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Urology
March 2025
Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium; Department of Urology, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegem, Belgium; Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium. Electronic address:
Objectives: To analyse individual VV-Qmax plots based on multiple home uroflowmetries and compare these with cross-sectional nomograms.
Methods: Healthy volunteers (16-69 years) without LUTS were asked to take a Minze Homeflow device home to register 25 uroflows. Participants reporting urinary tract disorders, malignancy or medication affecting bladder function were excluded.
Diabetes Res Clin Pract
March 2025
Diabetes Centre, Second Department of Internal Medicine, Democritus University of Thrace, Alexandroupolis, Greece.
Diabetes mellitus (DM) may lead to microvascular and macrovascular complications. Screening for these complications is crucial and non-invasive methods with high-dissemination potential are needed. Diabetic peripheral neuropathy (DPN) is particularly challenging to screen due to the lack of reliable clinical markers and endpoints.
View Article and Find Full Text PDFHeart Lung
March 2025
Depertment of Pulmonary Diseases, Ataturk University School of Medicine, Yakutiye, Erzurum, Turkey.
Background: Apelins are adipokines known for their anti-inflammatory, vasodilator, and antiatherosclerotic effects. They are involved in the pathogenesis of chronic diseases like chronic obstructive pulmonary disease (COPD) and coronary artery disease (CAD).
Objectives: This study aims to investigate apelin as a potential biomarker for early diagnosis and management of CAD in COPD patients.
Artif Intell Med
March 2025
Department of Advanced Computing Sciences, Maastricht University, The Netherlands. Electronic address:
Electrocardiographic imaging (ECGI) aims to noninvasively estimate heart surface potentials starting from body surface potentials. This is classically based on geometric information on the torso and the heart from imaging, which complicates clinical application. In this study, we aim to develop a deep learning framework to estimate heart surface potentials solely from body surface potentials, enabling wider clinical use.
View Article and Find Full Text PDFKnee
March 2025
Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA. Electronic address:
Background: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predictors and explore cluster reliability and consistency with self-organizing map (SOM) and k-means computation.
Methods: Subjects with TKA were retrieved from a data repository, supplemented by TKA patients with self-reported knee instability.
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