S. R. Nirmala

Gauhati University | G.U. · Department of Electronics and Communication Engineering

Background and Objective : The hypo-reflective Optical Coherence Tomography (OCT) imaging of the pseudo retinal layer strengthens the analysis of various retinal disorders, including Macular Edema (ME)/Diabetic Macular Edema (DME). The primary challenge in the automatic identification and analysis of ME cases is the presence of multiplicative speck...

The inimitable blood vessel pattern of retina is a biometric feature used in person authentication. Rotation, translation and scaling of the retinal image affect the reliability and security of the biometric authentication system. Several feature extraction approaches have been proposed but to make authentication systems invariant to these variatio...

Compressed sensing magnetic resonance imaging (CS-MRI) has been a widely studied field in biomedical signal processing owing to its success and practical MR machines integrated with the technology already rolling on in market. Since then, a decade-long research in the field has paved its way into deep-learning techniques being incorporated into the...

Bone age Assessment or the skeletal age is a general clinical practice to detect endocrine and metabolic disarrangement in child development. The bone age indicates the level of structural and biological growth better than chronological age calculated from the birth date. The X-Ray of the wrist and hand is used in common to estimate the bone age of...

Early detection of disease genes helps humans to recover from certain gene-related diseases, like genetic eye diseases. This work identifies the possibility of eye diseasesfor the disease genes utilizing a Gaussian-activation function (G)-centric deeplearning neural network (GDLNN) model. In this work, human genes are selected by computing structur...

A gene is the basic unit of genetic material. It is made up of a sequence (or piece) of DNA. Each gene controls a particular feature or has a particular function in the body. There are various eye diseases which are the result of genetic inheritance and which lead to blindness in infants, children, and adults. Out of every three blind people in the...

Imprecise articulation is the major issue reported in various types of dysarthria. Detection of articulation errors can help in diagnosis. The cues derived from both the burst and the formant transitions contribute to the discrimination of place of articulation of stops. It is believed that any acoustic deviations in stops due to articulation error...

Abstract—Retina based person identification is perceived as the most secure and accurate authentication means among biometric systems. The superiority of this method stems from the fact that the retina is unique to every individual and it would remain the same throughout a person’s life. In this paper, a novel method for person identification is pr...

Purpose: The study of retinal blood vessel morphology is of great importance in retinal image analysis. The retinal blood vessels have a number of distinct features such as width, diameter, tortuosity, etc. In this paper, a method is proposed to measure the tortuosity of retinal blood vessels obtained from retinal fundus images. Tortuosity is a sit...

Tortuosity is one of the micro vascular change that is observed in many retinopathies. Its early detection can prevent the progression of various retinopathies to a critical stage at which a person may become blind. Here, we propose a novel method for the measurement of tortuosity by polynomial modeling of retinal vessels for the analysis of hypert...

In this work, we attempt Mizo digit recognition under degraded conditions, using spectrograms as visual inputs to a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) network. As a tone language, each digit in Mizo is associated with a specific sequence of tones. To emphasize the tonal information, low frequency resolution is increased...

This paper presents a speech-based web application developed for retrieving the price of agricultural commodities and weather related information in Assamese language. The price of agricultural commodities are retrieved from AGMARKNET website while the weather related informations are extracted from the IMD website. Both these websites are updated...

Magnetic resonance imaging(MRI) is an important, non invasive body imaging tool in medical domain. For proper diagnosis, a good quality image plays a vital role. One major drawback of MRI is long scan time required for imaging. This drawback however is attempted to be eliminated by researchers using sparse reconstruction methods like compressed sen...

This work focuses on text dependent speaker verification system where a source feature specifically residual Mel frequency cepstral coefficients (RMFCC), has been extracted in addition to a vocal tract system feature namely Mel frequency cepstral coefficients (MFCC). The RMFCC features are derived from the LP residuals whereas MFCC features are der...

In this paper, we present an account of an ongoing effort in creation of speech corpora of under-resourced languages of North-East India, namely, Assamese, Bengali and Nepali. The speech corpora are being created for development of Automatic Speech Recognition system in Assamese as well as for Language Identification system. The text corpus of Assa...

Alzheimer’s disease is a most common disease seen in today’s world. It is one form of dementia where a person loses his memory progressively and finally loses his life. It is often seen in people above 60 but it may occur early. This disease destroys memory cell of brain. Till now, it is a disease without any treatment and proper way of diagnosis....

Abstract: In biometric authentication system, distinct set of characteristic features are used to identify an authorized person. Retina is a stable biometric feature because of its location and unique physiological characteristics. In this paper, we propose a texture feature based retinal authentication system. Texture features are considered as im...

In biometric authentication system, distinct set of characteristic features are used to identify an authorised person. Retina is a stable biometric feature because of its location and unique physiological characteristics. In this paper, we propose a texture feature-based retinal authentication system. Texture features are considered as important fe...

In this work, we present the creation of a speech corpus in an under-resourced language, namely, Mizo, and report the development of a phone recognition system using state-of-the- art acoustic modelling techniques. The speech corpus consists of Mizo passages spoken by 81 native Mizo speakers. A set of 36 phonetic units have been identified for repr...

The theory of Compressive Sensing (CS) has experienced a tremendous growth through continuous works of researchers from different cross platform domains of study. The strict realm of Shannon-Nyquist sampling theorem is compromised and an image can be reconstructed from fewer measurements than it was shown necessary to be, but with a trade-off in th...

Diabetes maculopathy has become one of the rapidly increasing health threats worldwide. The complication of diabetes associated to retina of the eye is diabetic retinopathy. A patient with the disease has to undergo periodic screening of eye. The ophthalmologists use colour retinal images of a patient acquired from digital fundus camera for disease...

Glaucoma is a chronic eye disease that causes blindness. It is the one of the most common causes of blindness in the world. It results in the loss of vision which cannot be regained. Although glaucoma is not curable, detection of the disease in proper time can stop its further progression. The optic disk (OD), optic cup (OC) and neuroretinal rim (N...

Heart failure and heart diseases are among the main causes of death in the world. Therefore it is necessary to have proper tools to determine the heart condition of the patient. ECG is considered to be the most efficient diagnostic tool to check the functionality of the heart. Hence accurate analysis of ECG signal is important. But it is difficult...

The registration of retinal images has significant importance in the operations of additional diagnosis and to determine the ailment progression of various retinal diseases. This paper deals with a feature based technique for retinal image registration. The purpose of the proposed method is to assist ophthalmologist to remark variations that happen...

Diabetic retinopathy (DR), a complication due to diabetes, is the leading cause of blindness. Diagnosis of DR at its earliest is thus very necessary. In this paper, we present an automated computer aided method for detection of hemorrhages using fundus images. In the first stage, blood vessel (BV) is detected and eliminated. In the following stage...

For the diagnosis of several retinal diseases, such as Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), Age-related Macular degeneration (AMD) detection of macula and fovea is considered as an important prerequisite. If any abnormality like haemorrhages, exudates fall over macula then vision is severely effected and at higher stage people m...

Biological signals can be classified according to its various characteristics like waveform shape, statistical structure and temporal properties. Among various bioelectric signals, one of the most familiar signal is the ECG. It is a signal derived from the electrical activity of the heart. The heart is an important organ which supplies body with ox...

Diabetes maculopathy has become one of the rapidly increasing health threats worldwide. The complication of diabetes associated to retina of the eye is diabetic retinopathy. A patient with the disease has to undergo periodic screening of eye. The ophthalmologists use colour retinal images of a patient acquired from digital fundus camera for disease...

Diabetic maculopathy is a disease that may affect central vision and lead to blindness in severe cases. In this direction, the proposed automated system for grading the severity level of diabetic maculopathy can assist the ophthalmologists in early detection and diagnosis of the disease. Presence of exudates in the macular region is an important in...

Detection and classification of electrocardiogram (ECG) signals is critically linked to the diagnosis of cardiac abnormalities. In this paper, a novel approach for ECG classification is presented using features based on wavelet subband energy coefficients. The ECG signals are decomposed into time-frequency representation using wavelet transform and...

Heart diseases are frequent reasons of death. Hence, there is always a need to develop systems that can provide prior indication about the state of the heart. This is also required because medical facilities may not be uniform everywhere. In such situation certain innovative approaches using certain signal processing techniques can provide consider...

In the framework of computer assisted diagnosis of retinal diseases, an algorithm for classification of retinal images for certain medical applications such as screening is presented and discussed. Automated detection of lesions/exudates in retinal images can assist in the early diagnosis of some common retinal abnormalities such as Diabetic Retino...

Glaucoma is a disease caused due to neurodegeneration of the optic nerve which leads to blindness. It can be evaluated by monitoring intra ocular pressure (IOP), visual field and the optic disc appearance (cup-to-disc ratio). Glaucoma increases the cup to disc ratio (CDR), affecting the peripheral vision loss. This paper addresses the various image...

Evaluating the quality of processed retinal images is an important issue in applications such as telemedicine. The traditional image quality measures are having limitation in emphasizing the loss of clinically significant information. We previously proposed a wavelet weighted blood vessel distortion measure (WBVDM) for retinal images. The WBVDM giv...

Images of the eye ground or retina not only provide an insight to important parts of the visual system but also reflect the general state of health of the entire human body. Automated retina image analysis is becoming an important screening tool for early detection of certain risks and diseases like diabetic retinopathy, hypertensive retinopathy, a...

This paper presents a new feature based measure to evaluate the quality of compressed digital retinal images using two-dimensional phase congruency (PC), which is invariant to changes in illumination and contrast. The retinal images have been compressed and decompressed using discrete wavelet transform (DWT) based set partitioning in hierarchical t...

In this paper, a novel wavelet transform based blood vessel distortion measure (WBVDM) is proposed to assess the image quality of blood vessels in the processed retinal images. The wavelet analysis of retinal image shows that different wavelet subbands carry different information about the blood vessels. The WBVDM is defined as the sum of wavelet w...

The analysis of diagnostic features such as the optic disc(OD) provides important clues for the diagnosis of various retinopathic diseases. In this paper, a wavelet based distortion measure for the optic disc (WODDM) in retinal image is proposed. The wavelet analysis shows that different subbands carry optic disc information to a different level. T...

This paper presents a simple method to assess the quality of compressed retinal images. It is based on the idea that the retinal image should possess some common features which helps to define the quality of the image. Retinal blood vessels are important diagnostic features in ophthalmological images. Changes in retinal vessel structure helps in de...

In this paper we propose a KLT based hand identification system for personal identification. This approach offers more scope for credible authentication as compared to finger print recognition. The images of the hand are taken and length of the fingers is computed using gradient method. These are used as features for categorizing the palm. The vari...

In this paper, a comparative study of a set of wavelet filters used for wavelet based retinal image compression system has been made. The performance of different wavelet filters is observed by decomposing the retinal image to various levels for a given compression ratio. The visual quality of the reconstructed retinal image is observed at each dec...