This paper presents an investigation into the development of intelligent mobile-enabled expert system to perform automatic detection tuberculosis (TB) disease in real-time. One third global population are infected with TB bacterium, and prevailing diagnosis methods either resource-intensive or time consuming. Thus, a reliable easy–to-use has become essential make world free by 2030, as envisioned World Health Organisation. In this work, challenges implementing efficient image processing...

Abstract Bioelectronic medicine is driving the need for neuromorphic microcircuits that integrate raw nervous stimuli and respond identically to biological neurons. However, designing such circuits remains a challenge. Here we estimate parameters of highly nonlinear conductance models derive ab initio equations intracellular currents membrane voltages embodied in analog solid-state electronics. By configuring individual ion channels neurons with estimated from large-scale assimilation...

Malignant melanoma is the deadliest form of skin cancer. In 2013 around 14,509 cases were found in United Kingdom and rate increasing ever since. Melanoma can be easily treatable if detected early stages. Clinical as well automated methods are being used for diagnosis. Image-based computer aided diagnosis systems have great potential malignant detection. this paper we review state art system examine recent practices different steps these systems. Statistics results from most important...

The study presents a thalamocortical network model which oscillates within the alpha frequency band (8-13 Hz) as recorded in wakeful relaxed state with closed eyes to neural causes of abnormal oscillatory activity Alzheimer’s disease (AD). Incorporated are various types cortical excitatory and inhibitory neurons, recurrently connected thalamic reticular regions ratios distances derived from mammalian system. is utilized impacts four connectivity loss on model’s spectral dynamics. focuses...

This paper describes an investigation into the pathophysiological causes of abnormal cortical oscillations in Alzheimer's disease (AD) using two heterogeneous neuronal network models. The effect excitatory circuit disruption on beta band power (13-30 Hz) a conductance-based model 200 neurons is assessed. Then, neural correlates different frequency bands based larger 1000 consisting types are also analyzed. EEG studies AD patients have shown that decreased early stages with parallel increase...

The colourimetric analysis has been used in diversified fields for years. This paper provides a unique overview of tests from the perspective computer vision by describing different aspects test context image processing, followed an investigation into development colorimetric assay type detection system using advanced machine learning algorithms. To best our knowledge, this is first attempt to define types eyes and perform any deep learning. utilizes state-of-the-art pre-trained models...

Tuberculosis (TB) remains one of the most devastating infectious diseases and its treatment efficiency is majorly influenced by stage at which infection with TB bacterium diagnosed. The available methods for diagnosis are either time consuming, costly or not efficient. This study employs a signal generation mechanism biosensing, known as Plasmonic ELISA, computational intelligence to facilitate automatic TB. ELISA enables detection few molecules analyte incorporation smart nanomaterials...

This paper describes an investigation into the pathophysiological causes of abnormal cortical oscillations in Alzheimer's disease (AD) using two heterogeneous neuronal network models. The effect excitatory circuit disruption on beta band power (13-30 Hz) a conductance-based model 200 neurons is assessed. Then, neural correlates different frequency bands based larger 1000 consisting types also analyzed. results show that, despite heterogeneity models, significantly affected by and synaptic...

Mixed signal neuromorphic circuits represent a promising technology for implementing compact and ultra-low power prosthetic devices that can be directly interfaced to living tissue. However, accurately emulate the dynamical behavior of biological tissue, it is necessary determine optimal set specifications bias parameters these circuits. In this paper we show how done silicon neuron design, by applying statistical Data Assimilation method (DA). We present conductance-based based on...

Purpose The gradual increase in geriatric issues and global imbalance of the ratio between patients healthcare professionals have created a demand for intelligent systems with least error-prone diagnosis results to be used by less medically trained persons save clinical time. This paper aims at investigating development image-based colourimetric analysis. purpose recognising such tests is support wider users begin test homecare settings, telepathology so on. Design/methodology/approach...

In a multi-criteria system, it is often required to optimize the decision according given problem set. this paper, reversible support system has been utilized in human-machine select best among selected alternatives. A used interchange alternatives between inputs and outputs. It also examines dissonance level while taking decisions ranked attributes sub-attributes of each criterion. These have classified into two segments such as irreversible. This paper highlights aspects how can be...

Synchronization of brain cells underlies the generation key motor functions including breathing, cardiac activity and locomotion. The circuitry mechanisms underpinning this phase-locked rhythmic patterns have been studied in local networks known as Central Pattern Generators (CPGs). Biological CPGs (bCPGs) healthy nervous systems demonstrate robustness adaptation response to variations sensory feedback. This study aims at constructing biologically-plausible network models analog hardware...

An array of Circular Transmission Line Model (CTLM) metal contacts was deposited onto the upper surface n-SiC/Si chips using laser micromachining as an alternative to standard photolithography technique. Thin epitaxial n-type 3C-SiC/Si were used since no current leakage observed in previous studies. Various energies for CTLM pattern transfer. Low values ρc obtained such 19×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4</sup> Ωcm...

Purpose The gradual increase in geriatric issues and global imbalance of the ratio between patients healthcare professionals has created a demand for intelligent systems with least error-prone diagnosis results to be used by less medically trained persons save clinical time. This paper aims at investigating development an image-based colourimetric analysis. purpose recognising such tests is support wider users begin test homecare settings, telepathology, etc. Design/methodology/approach...

This paper performs an investigation into the development of intelligent image-based automatic in vitro diagnostic system for infectious diseases using personal devices. The proposed framework is demonstrated case study Tuberculosis (TB)-specific antibody detection. developed system, denoted as iTB-test, bio-sensing comprised a plasmonic Enzyme-Linked Immunosorbent Assay based colourimetric test combination with artificial intelligence-enabled system. presented can separate region interest...