Background: Despite the prevalence and severity of bipolar disorder (BD), current diagnostic approaches remain largely subjective. This study presents an automatic framework using electroencephalography (EEG)-derived Hjorth parameters (activity, mobility, complexity), aiming to establish objective neurophysiological markers for BD detection provide insights into its underlying neural mechanisms. Methods: Using resting-state eyes-closed EEG data collected from 20 patients healthy controls...

Older adults' independent life is compromised due to various problems, such as memory impairments and decision-making difficulties. This work initially proposes an integrated conceptual model for assisted living systems capable of providing helping means older adults with mild their caregivers. The proposed has four main components: (1) indoor location heading measurement unit in the local fog layer, (2) augmented reality (AR) application make interactions user, (3) IoT-based fuzzy system...

This paper presents a genetic-fuzzy approach for hybrid electric vehicle control based on driving pattern recognition and prediction. In this approach, data collection in the real traffic conditions is employed classification of several patterns. These patterns represent different e.g. congested, urban so on. The analysis used definition microtrips. addition, Markov chain modeling condition prediction probability sequence then utilized optimization HEV parameters using approach. fuzzy logic...

Electroencephalogram, an influential equipment for analyzing human's activities and recognition of seizure attacks can play a crucial role in designing accurate systems which distinguish ictal seizures from regular brain alertness, since it is the first step towards accomplishing high accuracy computer aided diagnosis system (CAD). In this article novel approach classification signals with wavelet based cross frequency coupling (CFC) suggested. After extracting features by CFC, optimal have...

Background: Living in the vicinity of high voltage power lines has brought about a range health woes, but effect residential exposure to electromagnetic fields from on female fertility not been explored yet. Objective: To test hypothesis if proximity could be associated with increased risk infertility. Methods: In case-control study, 462 women confirmed diagnosis unexplained infertility or behavioral and environmental factors were assessed between February 2014 December 2016. Control group...

Electroencephalography (EEG), as the most common tool for epileptic seizure classification, contains useful information about different physiological states of brain. Seizure related features in EEG signals can be better identified when localized time-frequency basis projections. In this work, a novel method classification based on wavelet packets (WPs) is presented which both mother function and WP bases are adapted posteriori to improve classification. A support vector machine (SVM)...

The functional use of brain-machine interfaces (BMIs) in everyday tasks requires the accurate decoding both movement and force information. In real-word such as reach-to-grasp movements, a prosthetic hand should be switched between reaching grasping modes, depending on detection user intents decoder part BMI. Therefore, it is important to detect rest or active states different actions produce corresponding continuous command output during estimated state. this study, we demonstrated that...

Using electroencephalography for diagnosis of seizure attacks has been in a great attention as it records abnormal electrical activities the brain. This paper proposes novel technique epileptic seizures based on non-linear entropy features extracted from maximal overlap discrete wavelet packet transform (MODWPT) EEG signals. Discriminative are selected by t-test criterion and used classification with two different classifiers. The proposed method is evaluated compared to previous methods...

Abstract Aim. The issue of preterm birth due to exposure magnetic fields from power lines is unclear. Exposure electromagnetic field in uterus has been hypothesized as possible birth. aim the present study was determine whether living closer high voltage increased risk labor. Methods. In a nested case-control study, 135 cases singleton live spontaneous Rohani hospital, Babol, Iran, during period between 2013 and 2014 were studied. 150 control subjects term same year city residence using...

Automatic classification of epileptic signals plays a critical role in long term monitoring and diagnosis. This study provides novel feature extraction pattern recognition technique for classifying epilepsy using phase-phase, phase-amplitude amplitude-amplitude coupling based on Variational Mode Decomposition (VMD). The EEG signal was decomposed to band limited intrinsic mode functions (BLIMFs) the first place. Second, BLIMFs extracted as after determining an optimal two classifiers,...

Ride comfort and handling are two important criteria regarding vehicle vibration control. For solving the inconsistency between ride handling, a semi-active suspension system equipped with road classification can be suitable solution. Because condition varies during driving, control gain of should adaptively changed according to level. In this paper, accelerometer data transfer function scheme will used for classification, there is no need measure directly difficult often expensive methods....

The brain stimulation and its widespread use is one of the most important subjects in studies neurophysiology. In electrical methods, following surgery electrode implantation, electrodes send impulses to specific targets brain. this method provided therapeutic benefits for treatment chronic pain, essential tremor, Parkinsons disease, major depression, neurological movement disorder syndrome (dystonia). One area which advancements have been recently made controlling navigation animals a...

This article is a Letter to the Editor and does not include an Abstract.