Drowsy driving is one of the major causes road accidents and death. Hence, detection driver's fatigue its indication an active research area. Most conventional methods are either vehicle based, or behavioural based physiological based. Few intrusive distract driver, some require expensive sensors data handling. Therefore, in this study, a low cost, real time drowsiness system developed with acceptable accuracy. In system, webcam records video face detected each frame employing image...

The present work highlights fabrication of a low cost, facile micro-fabric based analytical device using PVC sheets as stencils & beeswax the walls which was successfully tested for micromixture usage well colorimetric assay glucose detection.

Direct noninvasive visualization of wound bed with depth information is important to understand the tissue repair. We correlate skin swept-source-optical coherence tomography (OCT) histopathological and immunohistochemical evaluation on traumatic lower limb wounds under honey dressing compare assess repair features acquired noninvasively invasively. Analysis optical biopsy identifies an uppermost brighter band for stratum corneum region specific thickness (p < 0.0001) gray-level intensity...

Spinous layer being a sub compartment of surface epithelium oral mucosa, plays also major role in investigating submucous fibrosis (OSF) at its early stage addition to basal layer.This paper aims provide technique that can be used assist the pathologists grading OSF based on textural information spinous layer.The proposed scheme intends evaluate changes from normal various grades OSF.In practice, it comprises following modules -(a) segmentation, (b) selection windows reference layer, (c)...

The inverse problem of diffused optical tomography is highly ill-posed as well often nonunique and unstable. ill-posedness can be reduced by reducing the number unknown values (e.g., adding soft or hard-prior constraints). In this paper, has been achieved parameterization tissue properties. parameters have modeled a Gaussian mixture model (GMM) eight components, image reconstructed estimating model. Therefore, unknowns drastically while maintaining some amount generality using an 8 component...

Diffuse optical tomography (DOT), a noninvasive imaging modality, uses near infrared light to illuminate the tissue and reconstructs parameters of from intensity measurements at surface. Here continuous wave measurement with improved localization is proposed make overall instrument inexpensive. Due non-unique solution inverse problem, prior information improves resolution reconstructed image. An artificial neural network (ANN) based approach developed obtain location inclusion. The peak...

Reconstruction of the absorption coefficient tissue with good contrast is key importance in functional diffuse optical imaging. A hybrid approach using model-based iterative image reconstruction and a genetic algorithm proposed to enhance reconstructed image. The method yields an observed 98.4%, mean square error 0.638×10⁻³, object centroid (0.001 0.22) mm. Experimental validation has also been provided tissue-like phantoms which shows significant improvement quality thus establishes...

Embolism can be a cause of life threatening situation for which early detection and diagnosis is major importance. This work describes an automatic approach air embolism measurement different morphological features the embolus using OCT contrast imaging technique. Firstly, channel has been segmented through processing. Manually selecting initial contour active (AC) technique time consuming. To overcome this, anisotropic diffusion (AD) implemented to automatically select prior AC. A snake...

Abstract Microfluidic channels fabricated over fabrics or papers have the potential to find substantial application in next generation of wearable healthcare monitoring systems. The present work focuses on fabrication procedures that can be used obtain practically realizable fabric-based microfluidic (µFADs) utilizing patterning mask and wax, unlike conventional printing technique. In this study, comparative analysis was differentiate obtained using different masking tools for channel as...

The biology is disrupted for many reasons which are sometimes fathomable and not. paramount factors can be genetic variations acquired but both subsequently gives the catastrophic outcome in case of menacing disease such as cancer. detection it has been done goes way back newer technology taking over every decade order to make more precise. As human intervention lead errors, automated improve accuracy. Therefore this study, convolutional neural network (CNN) explored normal different stages...

In this paper, a noninvasive optical method has been proposed for real-time detection and estimation of undesired inclusion or degradation in optically translucent objects. A novel artificial neural network (ANN)-based technique is fused with conventional photometric tomographic methods to achieve reliable estimate real time. The overall depth computed using the Beer–Lambert law compared two estimated thresholds. If value within thresholds, location size inclusions are by an ANN-based...

Plant disease identification and classification play a pivotal role in improving the agricultural sector's efficiency impact. Traditional laboratory testing methods have inherent limitations, including time-consuming processes poten-tial for misdiagnosis when relying on visual inspection alone. To address these challenges, application of deep learning techniques, particularly convolutional neural networks (CNNs), has significantly reduced need manual, on-field efforts by utilizing...

Image quality and photon measurement with good SNR (signal to noise ratio) in continuous wave diffuse optical tomography depend on the source detector density sensitivity of photo detector. For large volume objects, it is difficult obtain detectable light intensity over whole boundary. As an alternative, instead full boundary, measurements are taken a semi circle as reflection geometry partial reconstruction scheme for same proposed this paper. The cross-sectional parameters reconstructed...

Cataracts are one of the most common causes vision loss in world. Research done by WHO indicates that 36 million people blind worldwide, and over 12 them due to cataracts. It blurry which will cause partial or permanent blindness, hence early detection & treatment this disease is crucial. Due a lack eye care facilities resources, living developing nations rural areas unable receive timely treatment. Furthermore, traditional cataract diagnostic procedures complicated require expert...

The inverse problem of diffused optical tomography is highly ill-posed as well often nonunique and unstable. ill-posedness can be reduced by reducing the number unknown values (i.e., adding soft or hard-prior). In this paper, a-priori location inhomogeneities estimated using photon measurement density function (PMDF) steady state boundary measurements. PMDF calculated perturbation method then intensity deviation from homogeneous phantom backprojected for each source-detector pair. Summation...

With the increasing demand for personalized applications of voice-conversion (VC), research has developed a lot from just content and speaker information swap. The study shifted towards more realistic voice style transfer with prosody. In this study, mutual (MI) within prosody components is measured to update model parameters rate disentanglement components. An adaptive boosted learning strategy used boost training enhance feature in proposed framework. framework achieved better results than...

Photoacoustic tomographic imaging is a non-invasive medical diagnostic technology for visualizing biological tissue. However, the inverse problem and noise in photoacoustic signals often cause blurred images. Existing regularization methods struggle with staircasing artifacts edge preservation. To overcome this, an objective function incorporating total generalized variation (TGV) proposed. it failed high-density Gaussian noise. address extended version called edge-guided second-order TGV...

Photoacoustic tomographic (PAT) imaging has emerged as a promising non-invasive medical diagnostic technology for visualizing biological tissue. However, the inverse problem in PAT is known its ill-posed nature, and presence of noise photoacoustic signals often results blurred reconstructed images. Although hybrid total variation (TV) regularization methods have been commonly employed reconstruction, they face challenges effectively eliminating staircasing artifacts preserving sharp edges....

Photoplethysmogram (PPG) is an alternating signal related to the pulsatile volume in tissue due blood flow. This paper focuses on design and implementation of a real time heart rate monitoring system using photoplethysmography scheme smartphone. The proposed enhances ease construction, low manufacturing cost, can be used for quick cardiac diagnosis. PPG obtained here TCRT-1000 sensor associated conditioning circuit. analog then converted into digital one processed further Arduino estimate...

Photoacoustic tomographic (PAT) imaging is a non-invasive biomedical methodology based on the photoacoustic effect in tissue. The basic principle involves that short pulse laser used to irradiate biological tissue where particles absorb photon and generate acoustic pressure waves sample. signals are measured by ultrasonic transducer placed at multiple locations boundary of Subsequently, absorbed energy or initial distribution medium reconstructed from signals. In this work, reduce number...