Sri Ramakrishna Engineering College

About: Sri Ramakrishna Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Control theory. The organization has 1030 authors who have published 843 publications receiving 3822 citations.

Multi-Modal Medical Image Fusion Using Curvelet Algorithm

Abstract: Medical image fusion is the process of combining images from different modalities to make the fused image more informative than any of the source images. Images of different modalities include PET, CT, SPECT and MRI. One input image will have high spatial resolution and low spectral information and another image will have high spectral resolution and vice versa. The aim of medical image fusion is to have a single image having both spatial and spectral resolution. Most commonly used transform domain methods like Curvelet transform is applied to extract more specific information from the source images. Experimental results demonstrate that fused image will have sharpened image resolution and the fusion performance is evaluated with image quality assessment metrics.

An Enhanced Technique for Recording and Analysis of Electrogastrogram using Active Electrodes

Abstract: Electrogastrogram (EGG) is obtained with the help of Active Electrode (AE) from the human being cutaneously. It is a non-invasive, easy procedure that is tried as a preliminary investigation to assess the need for endoscopy. Active electrode setup is proposed in this paper to acquire the myoelectrical activity of the stomach as it is of higher sensitivity in acquiring the EGG signals when compared to passive electrodes. Active electrode based acquisition is most reliable as signal loss is prevented. Interference is prevented completely by using appropriate filters and by using Electromagnetic Interference (EMI) shield. EGG recorded in more than hundred and fifty human being includes the normal individual and patients with digestive system disorders such us nausea, dyspepsia, vomiting, peptic ulcer, etc. A database is created for the analysis. The change in frequency and power for disorders in patients compared to normal individuals form the power spectrum plot. Wavelet Transform analysis includes Continuous Wavelet Transform (CWT) to analyze the signal for the diagnosis of various gastric disorders as mentioned above. In wavelet analysis, the data of a patient or normal individual is considered. The signal is reconstructed with a data obtained through a data scope. This input signal undergoes Principle Component Analysis (PCA) as a preprocessing manoeuvre and then the interference and noise in the EGG signals are removed to obtain de-noised signal. The denoised EGG signal is plotted for power spectral density estimation with Welch power spectral Density Estimation. As a result of the proposed method the power variation is found to be 40-52dB and frequency is detected as 6.0-8.5 cpm in preprandial and 1.5-2.5 cpm in postprandial for ulcer patients, 4-5 cpm in preprandial 1.5-2.8 cpm in postprandial for dyspepsia patients and 3.0-3.15 cpm for normal individuals. Keywords: Active Electrode Electrogastrogram, Electromagnetic Interference, Preprandial, Postprandial, CWT DOI: 10.4038/sljbmi.v1i1.1482 Sri Lanka Journal of Bio-Medical Informatics 2009; 1 (1): 21-27

Blockchain for COVID-19 Patient Health Record

Abstract: In this digital era, where business operations and customer expectations involve harnessing and sharing the required information. In such scenarios, the trust and barrier for creating trusted partner networks can be resolved by Blockchain technologies. Blockchain has become vital for real-world applications involving business transactions where data security is predominant. Healthcare sector is another application of Blockchain gaining momentum. As countries across the globe grapple under the effect of the COVID-19 pandemic, the healthcare sector is the worst hit domain and hence, should scale like never before. During the current pandemic crisis, Blockchain technology could play a pivotal role in revolutionizing the way medical data can be handled and secured over its decentralized peer-to-peer network, thus enhancing the security of health-care information exchange. The infected patients serve as assets in the proposed Blockchain approach and their records include previous ailments if any, as blocks. In this paper a low-cost Blockchain approach has been proposed to store and view patient status along with transaction log details pertaining to their COVID-19 medical conditions. This secure data can only be viewed by the concerned government and local authorities for monitoring and further action.

Experimental Investigation on Bubble Deck Concrete Using Plastic Waste

Abstract: Reinforced concrete and steel are the commonly used building materials in which reinforced concrete plays a vital role in the construction of buildings. In the structural components like slab and beam, the concrete below the neutral axis is assumed that it will not take any tensile stresses and will act only as a filler material. Hence, those ineffective concrete can be replaced with other material which in turn reduces the self-weight of the structure. Plastic waste which is nondegradable becomes a great concern to the environment. Such plastic waste must be recycled to create an eco-friendly atmosphere. Hence, plastic waste are recycled in the form of balls and can be used in the slab, such type of slab is called Bubble deck slab. Bubble deck slab replaces ineffective concrete by plastic balls, thereby dramatically reducing the structural self-weight which in turn reduces the magnitude of seismic forces which will be highly useful in seismically active areas. Hence in this paper, spherical balls made of recycled plastic were introduced to replace the ineffective concrete near the neutral axis of the concrete slab. Two slabs are casted with dimensions 0.75 m × 1 m, one with bubbles (Bubble deck slab) and one without bubbles (Conventional slab). It is found that, though ultimate load of Conventional slab is more than the Bubble deck slab, the cracking load of Bubble deck slab is comparatively higher than the Conventional slab due to its flexibility. And also the Bubble deck slab undergoes maximum deflection before failure while compared to the Conventional slab which will give sufficient warning to the users before failure of the structure.