Epileptic seizure detection by using interpretable machine learning models.

Accurate detection of epileptic seizures using electroencephalogram (EEG) data is essential for epilepsy diagnosis, but the visual diagnostic process for clinical experts is a time-consuming task. To improve efficiency, some seizure detection methods have been proposed. Regardless of traditional or machine learning methods, the results identify only seizures and non-seizures.

Satelight: self-attention-based model for epileptic spike detection from multi-electrode EEG.

Because of the lack of highly skilled experts, automated technologies that support electroencephalogram (EEG)-based in epilepsy diagnosis are advancing. Deep convolutional neural network-based models have been used successfully for detecting epileptic spikes, one of the biomarkers, from EEG. However, a sizeable number of supervised EEG records are required for training.

Spontaneous and reflex movements after diagnosis of clinical brain death: A lesson from acute encephalopathy.

Background: Organ transplantation after brain death (BD) of the donor has been promoted in many countries as an established medical treatment. However, some problems with brain-dead organ transplantation have been reported. For example, there is no evidence as to the optimal observation period for a diagnosis and no evidence to support the interpretation of the various body movements observed after the determination of BD.

Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions.

To cope with the lack of highly skilled professionals, machine learning with proper signal processing is key for establishing automated diagnostic-aid technologies with which to conduct epileptic electroencephalogram (EEG) testing. In particular, frequency filtering with the appropriate passbands is essential for enhancing the biomarkers-such as epileptic spike waves-that are noted in the EEG. This paper introduces a novel class of neural networks (NNs) that have a bank of linear-phase finite impulse response filters at the first layer as a preprocessor that can behave as bandpass filters that extract biomarkers without destroying waveforms because of a linear-phase condition.

Training Physical and Geometrical Mid-Points for Multi-person Pose Estimation and Human Detection Under Congestion and Low Resolution.

This paper introduces the design and evaluation of NeoPose which is developed for multi-person pose estimation and human detection. The design of NeoPose is targeting the issue of human detection under congested situation and with low resolution in the image. Under such situations, we compared the performance of different versions of NeoPose as well as other existing algorithms in a human detection task.

Association between the frequency of bedwetting and late preterm birth in children aged ≥5 years.

Aim: We examined the associations between late preterm (LPT) birth children aged ≥5 years and the frequency of bedwetting. Moreover, those who were born full-term/low birthweight (BW), LPT/low BW, LPT/normal BW and LPT/low BW were compared.

Methods: In total, we evaluated 614 patients who underwent assessments for frequent bedwetting at the three hospitals from January 2014 to December 2016.

Fluorescent detection for cyclic and acyclic alcohol guests by naphthalene-appended amino-beta-cyclodextrins.

Spectroscopic and thermodynamic investigations on complexation of naphthalene-appended amino-beta-cyclodextrins 1 and 2 with cyclic alcohols (cyclohexanol and cycloheptanol) and acyclic alcohols (1-pentanol, 2-pentanol, 1-hexanol, and 1-heptanol) have been carried out. Host 1 exhibits a drastic fluorescent enhanced-signal change in the presence of alcohol guests in aqueous solution. [structure: see text]

Facile formation of water-insoluble cyclodextrin/Nafion composite films on solid surfaces.

The water-insoluble poly-beta-cyclodextrin (poly-CD)/Nafion composite film was easily prepared by casting a mixed solution of poly-CD and Nafion onto substrate plates. FT-IR measurements showed that the 50/50 wt% poly-CD/Nafion composite film remained stable on the glass and quartz substrates after immersion in water for more than 3 h, while a pure poly-CD film was almost completely dissolved by immersion within 1 h. The film stability was also evaluated from the amount of p-nitrophenol (p-NP) inclusion in the film, which was determined from the decrease in UV-vis absorbance of the p-NP solution into which the film was immersed.

Angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers effectively and directly potentiate superoxide scavenging by polymorphonuclear leukocytes from patients with type 2 diabetes mellitus.

Background: Angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin II type 1 receptor blockers (ARBs) have potent antioxidant effects in addition to antihypertensive effects.

Methods: We investigated the ability of ACEIs and ARBs to enhance the superoxide scavenging ability of polymorphonuclear leukocytes (PMNLs) from type 2 diabetic patients (n = 32) and healthy subjects (n = 32). The scavenging ability (U/10(3) cells) of superoxide was measured by electron spin resonance.

High serum pentosidine concentrations are associated with increased arterial stiffness and thickness in patients with type 2 diabetes.

Accumulation of advanced glycation end products in vessel walls may increase arterial stiffness and/or thickness, contributing to a high incidence of cardiovascular disease (CVD) in patients with diabetes. We investigated whether serum concentrations of pentosidine, a well-defined advanced glycation end product, are associated with arterial stiffness or thickness in patients with type 2 diabetes. Pentosidine was measured in sera from 98 patients with type 2 diabetes and 61 age-matched control subjects by a competitive enzyme-linked immunosorbent assay.

Coagulation and inflammation in overt diabetic nephropathy: association with hyperhomocysteinemia.

Background: Diabetic nephropathy, especially when advanced, is associated with high prevalence of atherosclerotic cardiovascular disease in which inflammation and coagulation may play pathogenic roles. We investigated the relationships between diabetic nephropathy and coagulation, fibrinolysis, or inflammation in patients with Type 2 diabetes.

Methods: We evaluated markers of inflammation and coagulation in 105 Type 2 diabetic patients with various grades of nephropathy and 49 healthy control subjects, in association with plasma total homocysteine (tHcy) measurements.

Dissociation between urinary pyrraline and pentosidine concentrations in diabetic patients with advanced nephropathy.

It has been reported that the concentrations of both pyrraline and pentosidine, well-characterized advanced glycation end products, are increased in the urine of diabetic patients. To determine factors that influence the urinary excretion of pyrraline or pentosidine, we compared pyrraline or pentosidine concentrations with glycemic-control indexes, urinary albumin excretion, and urinary beta2-microglobulin in patients with type 2 diabetes. The study was conducted in 39 age-matched healthy control subjects and 50 diabetic patients, including 22 patients with normoalbuminuria, 15 with microalbuminuria, and 13 with macroalbuminuria.

Results of blood inflammatory markers are associated more strongly with toe-brachial index than with ankle-brachial index in patients with type 2 diabetes.

Objective: Three blood markers of inflammation (high-sensitivity C-reactive protein [hsCRP], interleukin [IL]-6, and fibrinogen) were compared with markers of atherosclerotic cardiovascular disease (CVD) (history of stroke or cardiac ischemia and measured toe-brachial index [TBI]) to determine whether inflammatory markers are associated with atherosclerosis in patients with type 2 diabetes.

Research Design And Methods: Of 103 patients with type 2 diabetes, 26 had CVD. TBI was plethysmographically determined in both great toes.

Myotonic dystrophy associated with variable circadian rhythms of serum cortisol and isolated thyrotropin deficiency.

We describe a case of myotonic dystrophy presenting with a disturbed circadian rhythm of the serum cortisol and an isolated thyrotropin deficiency. The diagnosis of myotonic dystrophy was based on clinical characteristics, positive electromyographic findings, and increased number of CTG repeats in the dystrophia myotonica protein kinase (DMPK) gene. The patient presented with a variable circadian rhythm of the serum cortisol, increased excretion of urinary free cortisol, and a high adrenocorticotropin hormone responses to corticotropin-releasing hormone.