Purpose Insomnia-related affective functional disorder may negatively affect social cognition suc... more Purpose Insomnia-related affective functional disorder may negatively affect social cognition such as empathy, altruism, and attitude toward providing care. No previous studies have ever investigated the mediating role of attention deficit in the relationship between insomnia and social cognition. Methods A cross-sectional survey was carried out among 664 nurses (Mage = 33.03 years; SD ± 6.93 years) from December 2020 to September 2021. They completed the Scale of Attitude towards the Patient (SAtP), the Athens Insomnia Scale (AIS), a single-item numeric rating scale assessing the increasing severity of attention complaints, and questions relating to socio-demographic information. The analysis was carried out by examining the mediating role of attention deficit in the relationship between insomnia and social cognition. Results The prevalence of insomnia symptoms was high (52% insomnia using the AIS). Insomnia was significantly correlated with attention problems (b = 0.18, standard e...
In this paper, the feasibility of automated and accurate in vivo measurements of vascular paramet... more In this paper, the feasibility of automated and accurate in vivo measurements of vascular parameters continuously and non-invasively using ultrasound sensor is presented. Vascular parameters such as pulse wave velocity (PWV), blood pressure (BP), arterial compliance (AC) and stiffness index (SI) are affluent indicators of cardiovascular disorders and needs to be monitored non-invasively and continuously during surgeries and follow-up procedures. Cuff based or invasive catheter techniques are considered as gold standard to measure BP and are fed manually to compute AC and SI which employ imaging algorithms. In this context, a Continuous and Non-Invasive Vascular Stiffness and Arterial Compliance Screener (CaNVAS) is developed to measure said parameters continuously and non-invasively using ultrasound sensor. Acoustic waves of 5 MHz (2.2 – 10 MHz) are driven through target arterial walls, reflected echoes captured, pre-processed and frequency shift is used to calculate PWV. It is obse...
Mitral Stenosis (MS) is an abnormal condition of the heart mitral valve in which the valve orific... more Mitral Stenosis (MS) is an abnormal condition of the heart mitral valve in which the valve orifice area is reduced leading to many complications in heart function. Noninvasive and less expensive procedures for diagnosis are not currently available. The aim of this work was to explore the use of the radial artery pulse (RAP) to diagnose MS. This paper analyzed the effect of the development and growth of MS on possible radial artery noninvasive assessment parameters. For this, MS was introduced to ex vivo by varying the orifice area to either 1, 2, 3, 4 or 5[Formula: see text]cm2 in a hybrid cardiopulmonary electrical analogous model based on clinically obtained healthy controls with an orifice area of 6[Formula: see text]cm2. Results showed that a mitral valve area less than 2[Formula: see text]cm2 significantly influenced the pulse magnitude and time parameters. A strong correlation was observed in pulse height (PH), mean pulse height (MPH), and time occurrence of the dichotic notch...
Biomedical imaging technologies are designed to offer functional, anatomical, and molecular detai... more Biomedical imaging technologies are designed to offer functional, anatomical, and molecular details related to the internal organs. Photoacoustic imaging (PAI) is becoming familiar among researchers and industrialists. The PAI is found useful in several applications of brain and cancer imaging such as prostate cancer, breast cancer, and ovarian cancer. At the same time, the vessel images hold important medical details which offer strategies for a qualified diagnosis. Recently developed image processing techniques can be employed to segment vessels. Since vessel segmentation on PAI is a difficult process, this paper employs metaheuristic optimization-based vascular segmentation techniques for PAI. The proposed model involves two distinct kinds of vessel segmentation approaches such as Shannon’s entropy function (SEF) and multilevel Otsu thresholding (MLOT). Moreover, the threshold value and entropy function in the segmentation process are optimized using three metaheuristics such as ...
This work presents a portable, affordable and reliable vein locating device to overcome the compl... more This work presents a portable, affordable and reliable vein locating device to overcome the complications in vein localization irrespective of age and tissue thickness during medical procedures like Phlebotomy and intravenous infusion. A prototype has been developed using infrared (IR) detector and multispectral near infrared (NIR) (740,765,770,780 nm) source. The differential absorption of the NIR by veins due to the presence of deoxyhemoglobin, helps in enhancing the localization of the vein. The detector is integrated with the single board computer (SBC) and connected with LCD through serial programming interface (SPI) for real time display of veins. The initial observations have found to be successful. It is expected that this affordable device will help in reducing time and improving accessibility to locate antecubital and cephalic vein without multiple incision and minimal pain.
Interdisciplinary Sciences: Computational Life Sciences, 2021
Diabetic retinopathy (DR) is one of the most prevalent genetic diseases in human and it is caused... more Diabetic retinopathy (DR) is one of the most prevalent genetic diseases in human and it is caused by damage to the blood vessels in the eye retina. If it is undetected and untreated at right time, it can lead to vision loss. There are many medical imaging and processing technologies to improve the diagnostic process of DR to overcome the lack of human experts. In the existing image processing methods, there are issues such as lack of noise removal, improper clustering segmentation and less classification accuracy. This can be accomplished by automatic diagnosis of DR using advanced image processing method. The cotton wool spot (CWS), hard exudates (HE) contains a common manifestation of many diseases in retina including DR and acquired immunodeficiency syndrome. In the present work, super iterative clustering algorithm (SICA) is proposed to identify the CWS, HE on retinal image. Feature-based medical image retrieval (FBMIR) datasets are utilized for this purpose. Noises present on t...
Turkish Journal of Physiotherapy and Rehabilitation, 2021
According to consensus, the use of Computerized Tomography (CT) methodology for early finding of ... more According to consensus, the use of Computerized Tomography (CT) methodology for early finding of several disease, yields both quick and reliable results. Expert radiologists reported that COVID19 has exhibit severalmanners in CT images. In this research, a novel technique of fusing and rankingfeatures based Deep Learning Approach was proposed to detect COVID-19 in its early stages. To create sub-datasets, 32x32 as Subset-1 and 64x64 as Subset-2, within the framework of the proposed procedure, 300 patch images as COVID-19 and Non-COVID-19 were used in the training and testing phases. A VB-Net Deep learning-based segmentation system was created to segment the infection regions in CT scans image of COVID-19 patients. To improve the proposed methodperformance, feature fusion and a ranking method were used.The Convolutional Neural Network (CNN) technique is used in transfer learning. The processed data was then categorized into two types as by using a Support Vector Machine (SVM). This s...
Purpose Insomnia-related affective functional disorder may negatively affect social cognition suc... more Purpose Insomnia-related affective functional disorder may negatively affect social cognition such as empathy, altruism, and attitude toward providing care. No previous studies have ever investigated the mediating role of attention deficit in the relationship between insomnia and social cognition. Methods A cross-sectional survey was carried out among 664 nurses (Mage = 33.03 years; SD ± 6.93 years) from December 2020 to September 2021. They completed the Scale of Attitude towards the Patient (SAtP), the Athens Insomnia Scale (AIS), a single-item numeric rating scale assessing the increasing severity of attention complaints, and questions relating to socio-demographic information. The analysis was carried out by examining the mediating role of attention deficit in the relationship between insomnia and social cognition. Results The prevalence of insomnia symptoms was high (52% insomnia using the AIS). Insomnia was significantly correlated with attention problems (b = 0.18, standard e...
In this paper, the feasibility of automated and accurate in vivo measurements of vascular paramet... more In this paper, the feasibility of automated and accurate in vivo measurements of vascular parameters continuously and non-invasively using ultrasound sensor is presented. Vascular parameters such as pulse wave velocity (PWV), blood pressure (BP), arterial compliance (AC) and stiffness index (SI) are affluent indicators of cardiovascular disorders and needs to be monitored non-invasively and continuously during surgeries and follow-up procedures. Cuff based or invasive catheter techniques are considered as gold standard to measure BP and are fed manually to compute AC and SI which employ imaging algorithms. In this context, a Continuous and Non-Invasive Vascular Stiffness and Arterial Compliance Screener (CaNVAS) is developed to measure said parameters continuously and non-invasively using ultrasound sensor. Acoustic waves of 5 MHz (2.2 – 10 MHz) are driven through target arterial walls, reflected echoes captured, pre-processed and frequency shift is used to calculate PWV. It is obse...
Mitral Stenosis (MS) is an abnormal condition of the heart mitral valve in which the valve orific... more Mitral Stenosis (MS) is an abnormal condition of the heart mitral valve in which the valve orifice area is reduced leading to many complications in heart function. Noninvasive and less expensive procedures for diagnosis are not currently available. The aim of this work was to explore the use of the radial artery pulse (RAP) to diagnose MS. This paper analyzed the effect of the development and growth of MS on possible radial artery noninvasive assessment parameters. For this, MS was introduced to ex vivo by varying the orifice area to either 1, 2, 3, 4 or 5[Formula: see text]cm2 in a hybrid cardiopulmonary electrical analogous model based on clinically obtained healthy controls with an orifice area of 6[Formula: see text]cm2. Results showed that a mitral valve area less than 2[Formula: see text]cm2 significantly influenced the pulse magnitude and time parameters. A strong correlation was observed in pulse height (PH), mean pulse height (MPH), and time occurrence of the dichotic notch...
Biomedical imaging technologies are designed to offer functional, anatomical, and molecular detai... more Biomedical imaging technologies are designed to offer functional, anatomical, and molecular details related to the internal organs. Photoacoustic imaging (PAI) is becoming familiar among researchers and industrialists. The PAI is found useful in several applications of brain and cancer imaging such as prostate cancer, breast cancer, and ovarian cancer. At the same time, the vessel images hold important medical details which offer strategies for a qualified diagnosis. Recently developed image processing techniques can be employed to segment vessels. Since vessel segmentation on PAI is a difficult process, this paper employs metaheuristic optimization-based vascular segmentation techniques for PAI. The proposed model involves two distinct kinds of vessel segmentation approaches such as Shannon’s entropy function (SEF) and multilevel Otsu thresholding (MLOT). Moreover, the threshold value and entropy function in the segmentation process are optimized using three metaheuristics such as ...
This work presents a portable, affordable and reliable vein locating device to overcome the compl... more This work presents a portable, affordable and reliable vein locating device to overcome the complications in vein localization irrespective of age and tissue thickness during medical procedures like Phlebotomy and intravenous infusion. A prototype has been developed using infrared (IR) detector and multispectral near infrared (NIR) (740,765,770,780 nm) source. The differential absorption of the NIR by veins due to the presence of deoxyhemoglobin, helps in enhancing the localization of the vein. The detector is integrated with the single board computer (SBC) and connected with LCD through serial programming interface (SPI) for real time display of veins. The initial observations have found to be successful. It is expected that this affordable device will help in reducing time and improving accessibility to locate antecubital and cephalic vein without multiple incision and minimal pain.
Interdisciplinary Sciences: Computational Life Sciences, 2021
Diabetic retinopathy (DR) is one of the most prevalent genetic diseases in human and it is caused... more Diabetic retinopathy (DR) is one of the most prevalent genetic diseases in human and it is caused by damage to the blood vessels in the eye retina. If it is undetected and untreated at right time, it can lead to vision loss. There are many medical imaging and processing technologies to improve the diagnostic process of DR to overcome the lack of human experts. In the existing image processing methods, there are issues such as lack of noise removal, improper clustering segmentation and less classification accuracy. This can be accomplished by automatic diagnosis of DR using advanced image processing method. The cotton wool spot (CWS), hard exudates (HE) contains a common manifestation of many diseases in retina including DR and acquired immunodeficiency syndrome. In the present work, super iterative clustering algorithm (SICA) is proposed to identify the CWS, HE on retinal image. Feature-based medical image retrieval (FBMIR) datasets are utilized for this purpose. Noises present on t...
Turkish Journal of Physiotherapy and Rehabilitation, 2021
According to consensus, the use of Computerized Tomography (CT) methodology for early finding of ... more According to consensus, the use of Computerized Tomography (CT) methodology for early finding of several disease, yields both quick and reliable results. Expert radiologists reported that COVID19 has exhibit severalmanners in CT images. In this research, a novel technique of fusing and rankingfeatures based Deep Learning Approach was proposed to detect COVID-19 in its early stages. To create sub-datasets, 32x32 as Subset-1 and 64x64 as Subset-2, within the framework of the proposed procedure, 300 patch images as COVID-19 and Non-COVID-19 were used in the training and testing phases. A VB-Net Deep learning-based segmentation system was created to segment the infection regions in CT scans image of COVID-19 patients. To improve the proposed methodperformance, feature fusion and a ranking method were used.The Convolutional Neural Network (CNN) technique is used in transfer learning. The processed data was then categorized into two types as by using a Support Vector Machine (SVM). This s...
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