Dr. Moorthi Madhavan

Saveetha Engineering College,Chennai,Tamilnadu,India · Medical Electronics & BioMedical(ECE)

The proposed work promotes a new image compression technique for the coding of medical images. This compression technique invokes that Contourlet Transform is a directional transform and also it is capable of capturing contours and fine details in medical images Initially wiener filtering and the Contourlet transform are applied to the medical imag...

Generally lossless compression should be used for ROI (Region of Interest) and lossy compression should be used for ROB (Region of Background) with a lower quality. In existing system, Region of Interest (ROI) is selected manually, but ROI is selected automatically in the proposed method, pre-processing is done to improve the visual quality of the...

High efficiency image compression methods are under wide attention for storage and transmission of images because images have large data quantity. This paper proposes a back propagation neural network approach used for data compression which offers parallel processing of data, training process makes the network suitable for various kinds of data. T...

In this paper, we introduce a selective compression method to compress lung images. Generally Region of Interest (ROI) should be compressed in a lossless manner and Region of Background (ROB) should be compressed in a lossy manner with a lower quality. In existing system, Region of Interest (ROI) is selected manually. The proposed method is automat...

Image segmentation is an important process to extract information from complex medical images. Segmentation has wide application in medical field. The main objective of image segmentation is to partition an image into mutually exclusive and exhausted regions such that each region of interest is spatially contiguous and the pixels within the region...

One of the biggest causes of death among humans worldwide is liver disease. Currently, manually identifying the cancer tissue is a difficult and laborious task. By segmenting liver lesions in CT scans, it is possible to evaluate the severity of the disease, make treatment plans, predict results, and keep a record of the clinical response. In order...

Cancer is known to be highly severe disease and gets incurable even when the treatment has started at the time of diagnosis owing to the occurrence of cancer cells. Diverse machine learning approaches are implemented for predicting the cancer recurrence that needs to be evaluated for showing the appropriate approach for cancer prediction. This pape...

Brain Computer Interface (BCI) is one of the fast-growing technological trends, which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of Electroencephalography (EEG) placed according to the 10-20 electrode system is used to acquire the EEG signals. A BCI with EEG based imagined word prediction using Convolu...

In practical radiology, early diagnosis and precise categorization of liver cancer are difficult issues. Manual segmentation is also a time-consuming process. So, utilizing various methodologies based on an embedded system, we detect liver cancer from abdominal CT images using automated liver cancer segmentation and classification. The objective is...

The wearable antenna design is popular in the modern world due to communication and surveillance. When designing these antennas, different constraints need to be taken into account such as flexibility, bandwidth, cost, frequency band, and data transmission rate. This paper presents a hybrid fuzzy flamingo swarm optimization (HFFSO) algorithm to opt...

Background: Brain Computer Interface (BCI) is one of the fast-growing technological trends, which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of Electroencephalography (EEG) placed according to the 10-20 electrode system is used to acquire the EEG signals. A BCI with EEG based imagined word prediction u...

Brain Computer Interface (BCI) is one of the fast-growing technological trends, which finds its applications in the field of the healthcare sector. In this work, 16 electrodes of Electroencephalography (EEG) placed according to the 10-20 electrode system are used to acquire the EEG signals. A BCI with EEG based imagined word prediction using Convol...

In this paper, performance improved EEG based vowel recognition using integrated Principal Component Analysis (PCA) with Quadratic Support Vector Machine (SVM) is developed with the help of a Graphical User Interface (GUI). The GUI displays Time-Frequency plot which shows suppression of alpha, beta and gamma rhythms. There is also a plot showing...

Diabetic Retinopathy is a rare micro-vascular complication that leads to severe ocular disorder or visual impairment. This complication is unidentified due to the mild progression of its symptoms that is associated with Diabetic Mellitus. The disease is categorized by the development of abnormal new vessels developing the optical disc of the retina...

A study by which the opinions, emotions, evaluations, appraisals, and sentiments of people towards different entities is expressed in the form of a text is called Sentiment Analysis (SA). The primary task of a sentiment analysis which is based on the aspects is the extraction of various aspects of the entities and the determination of the sentiment...

Design of a textile antenna operating at multi frequency band with microstrip patched is proposed in this paper significant for applications operating at 5G and LTE band. The design involves a U-Shaped slot, a rectangular shaped microstrip patched and two annular concentric slots. Current distribution in the surface undergoes modification by introd...

Mobile ad hoc networks (MANETs) are wireless networks that include many peer nodes. The node mobility in the MANETs leads to several issues like maintenance of paths, lifespan of the battery, safety, reliability and unpredictable link traits. All these in turn would adversely affect the network Quality of Service (QoS). In MANETs, a major role is p...

In 5G network, the key parts are millimeter wave band (mmWave band) involving 26 GHz & 28 GHz which aims to solve issues related to traffic using its wide bandwidth. Features of 5G such as transmitters with high directivity, wide bandwidth and base station with high density project it as a promising source of RF energy harvesting. In order to harve...

Medical experts indulge in numerous strategies for efficient and predictive measures to model the health status of patients and formulate the patterns that are formed in test results. Most patients would dream of their betterments of their health conditions and thus preventing the progression of any disease. When diabetics is considered in the mode...

In this paper, emotion recognition using EEG signals has been reviewed. The methods applied, dataset used for simulation, the results obtained along with the limitations and future work/gap is summarised in this review paper. This paves a way for the upcoming researchers to focus on the problems to be solved and the methods to be proposed as a nove...

The Mobile Ad hoc Networks (MANET) are those networks that do not have the infrastructure and are formed dynamically by means of an autonomous system of some mobile nodes connected through wireless links. All routers are left free to be able to randomly move and arbitrarily organize themselves. So, the wireless topology of the network can have unpr...

Sentiment analysis otherwise known as opinion mining is a result of the increased use of internet along with the sudden spurt of online review sites and social media. Sentiment or opinion mainly depends upon what general public think or comment and this generally includes products, services, policies and even politics where they opine either positi...

The Laryngectomee patient has damage in vocal cord and leads to loss of speech; therefore, patient uses electrolarynx (EL) device during speech for speech clarity. The EL device consists of a vibrator placed over the vocal surface during speech, and the speech signal modulates with the vibrator signal for clarity in speech. However, vibration from...

In this paper, we presented the new method for liver cancer detection. Computed Tomography (CT) has becomes important tool for diagnosis of liver cancer. The proposed method used in this paper is Random Forest (RF) classifier algorithm for the detection of cancer in the liver. For the automatic segmentation, here we use active contour method to seg...

The ad hoc network can present many different problems that influence a solution which can assure a proper quality of Service (QoS). The primary goal offered by the QoS was to ensure information delivery that was better and carried out by this network with a better network resource utilization. The main objective of the QoS routing found in the Mob...

What do the people think?" is an important factor that is needed to be considered during the decision making process. Hence analysing the sentiments of the people are more important. Sentiment analysis is particular to a topic. I.e., classifiers can perform well only on a particular topic. If the topic differs classifiers may not be able to perform...

What do the people think?" is an important factor that is needed to be considered during the decision making process. Hence analysing the sentiments of the people are more important. Sentiment analysis is particular to a topic. I.e., classifiers can perform well only on a particular topic. If the topic differs classifiers may not be able to perform...

In this paper a novel approach for new born babies authentication and verification is done using multi-biometric features, which are, mother’s fingerprint and baby’s foot print. The decision on recognition is done based on fusion in which the feature vectors are extracted for query images independently, at matching score level, and are then compare...

In this paper a novel approach for new born babies authentication and verification are done using multi-biometric features, which are, mother’s fingerprint and baby’s foot print. The decision on recognition is done taken on fusion in which the feature vectors are extracted for query images independently, at matching score level, and are then compar...

Face recognition is generally insensitive to very large variations in the direction of lighting and facial expression. It is performed by taking dimension of the face image. The particular face has varying illumination but fixed pose without shadowing. The proposed algorithm is based on bit by bit scanning and probabilistic matching and produces we...

This paper aims to design and develop a low-cost, lightweight, portable system for critical patient monitoring system. The proposed system employs a Peripheral Interface Circuit (PIC) Microcontroller and MALAB 7.5.0(R2007) platform that performs analysis of the acquired brain image continuously. A brain tumor is identified and analyzed by detecting...

Telemedicine network is used to transmit medical images from hospital to remote medical centers for diagnosis. In this connection, progressive quality coding algorithm has been developed to save storage space and better utilization of bandwidth and to improve speed of data transmission. Generally, loss-less compression should be used for region of...

Digital radiology has resulted in significant increase in use of digital medical images in the process of diagnosis. Lossless image compression is necessary to preserve the value of diagnostic medical images. This method will be applicable to mainly compressing information without any loss. More particularly, this paper aims to increase compression...

The medical images can be transmitted from patient room to remote medical centers for diagnosis through the wireless network in telemedicine system. In this connection, the existing methods are unable to achieve better Compression Ratio (CR) while maintaining the lower levels of distortion. An intelligent scheme has been developed for achieving a h...

The integration of mobile communication and biomedical instrumentation technology plays an important role in telemedicine as doctors away from the system can also get the health status of their critical patients.Great challenges in modern medical image acquisition (CT and MRI) systems have been created with respect to storing and transmitting medic...

Bayer color filter array (CFA) images are captured in most digital cameras and demosaicing is generally carried out before compression. A efficient prediction based lossless CFA compression scheme is proposed. It divides a CFA image into two sub images: a green sub image which contains all green samples of the CFA image and a non green sub image wh...

The project proposes hybrid image compression model for efficient transmission of medical image using lossless and lossy coding for telemedicine application. Here, Fast-discrete curvelet transform with adaptive arithmetic coding will be used for loss less compression. Since storage space demands in hospitals are continually increasing the compressi...

Compression is becoming a very important method for reducing the redundancy in the images. The use of larger DWT (discrete wavelet transform) basis functions or wavelet filters produced distortion in the reconstructed image. It takes a longer compression time. This paper proposes a new technology which consist of pre-processing, IWT (integer wavele...

This paper proposes an improved medical image compression based on seam identification using integer wavelet transform and near loss-less encoding techniques, image retargeting is generally required at the user end of the mobile multimedia communications. This work addresses the increasing demand of visual signal delivery to terminals with arbitrar...

The aim of image fusion is to integrate corresponding information from different sources into one new image. The idea is to lessen uncertainty and minimize redundancy in the output while maximizing relevant information particular to an application or task. Therefore image fusion techniques, which provide an efficient way of combining and enhancing...

Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly vacating room from the encry...

he objective of image compression is to reduce of the image data in order to be able to store or transmit data in efficient form. One of the medical standards is the DICOM (Digital Imaging and Communications in Medicine) Standards Committee exists to create and maintain international standards for communication of biomedical diagnostic and therapeu...

The rapid growth in the use of ecommerce applications requires security of the communication channel used and reliable and auto personal identification for effective security control. Conventional identification techniques can be divided into two categories: token based, such as physical key, an ID card and a passport, and knowledge-based, such as...