Dr Jobin Christ - Academia.edu (original) (raw)

Papers by Dr Jobin Christ

Supplemental material, sj-docx-1-psg-10.1177_22925503211055523 for Influence of Single-Digit Excl... more Supplemental material, sj-docx-1-psg-10.1177_22925503211055523 for Influence of Single-Digit Exclusions on Grip Strength in Healthy Male Adults by Krishnakumar Sankar and Jobin Christ in Plastic Surgery

IOP Conference Series: Materials Science and Engineering, 2021

The ultimate aim of the project is to develop a low-cost spectrometer that analyses the samples i... more The ultimate aim of the project is to develop a low-cost spectrometer that analyses the
samples in the Nanoscale range and to minimise the usage of samples for diagnostic application.
The reflection, absorption or transmission phenomenon alters the incident light during the
interaction with the sample. A spectrometer measures this change over a range of incident
wavelengths of electromagnetic radiation that has interacted with a sample. The light that acts
as a source is passed through the sample. The prepared test sample is analysed in order to
validate the developed system. Following the test samples, urine is analysed. 10 volunteers were
involved as subjects. The light from the sample passes through a slit and then reflected by a
collimating mirror. The wavelength of the light from the sample is analysed by Thermino
software in the UV and visible range. The input to this software is provided by the webcam. A
1000 lines/mm diffraction grating is utilized to split the light into its constituent wavelength.
This is a low-cost system than the available commercial spectrometers used in the laboratory.

Int. J. of Aquatic Science, Jun 1, 2021

International Conference on Image Processing, Computer Vision, & Pattern Recognition, 2009

Method and apparatus for selectively enabling a pull device coupled to a multiplexed terminal con... more Method and apparatus for selectively enabling a pull device coupled to a multiplexed terminal connector based on the function of the terminal connector. When the terminal functions as a general purpose input/output (GPIO), the pull device is enabled on reset or on setting a control bit. For operation as a data port, the pull device is disabled, and on reset the pull device is enabled only after any pending data transaction has completed. Upon completion of the reset period the pull device is again disabled for data port operation. In one embodiment, a terminal has a first interruptible function and a second uninterruptible function. The terminal is coupled to a pull device and control logic. If the second function is active, the control logic enables the pull device with a time delay sufficient that the second function is completed prior to the enabling of the pull device.

Plastic Surgery

Grip strength (GS) of the human hand is vital to deal with objects of various sizes and shapes in... more Grip strength (GS) of the human hand is vital to deal with objects of various sizes and shapes in daily life. The strength deteriorates if one or more digits of the hand are amputated. The main aim of this study was to determine the influence of single-digit exclusions on the GS. Healthy adults ( n = 102, male) with an age range of 20 to 70 years (mean ± SD, 31.92 ± 13.14 years) participated in the study. The movements of unused digits were restrained using splints to avoid digit enslaving effects. T (Thumb), (I) Index, M (Middle), R (Ring), L (Little) digits were chosen for exclusion based on the digit configurations. The digit configurations were IMRL, MRLT, IMRT IRLT and, IMLT with exclusions T, I, L, M, and, R respectively. The results of two-way ANOVA with repeated measures showed no significant interaction ( p = 0.923) between hand dominance and digit configurations. But statistical significance ( p = 0.000) was observed in digit configurations and hand dominance individually....

Biomedical Research-tokyo, 2016

Segmentation of an image is the separation or division of the image into diverse regions of simil... more Segmentation of an image is the separation or division of the image into diverse regions of similar feature. In medical field, magnetic resonance image (MRI) is used to discriminate pathological tissues from normal tissues, particularly for brain tumors. Many methods are proposed and already in use for the tumor segmentation. In this paper, we have proposed a new sophisticated algorithm for the segmentation of the brain tumor. The image is segmented using swarm intelligence based approach by characterizing the ecological behaviour of clown fish. The algorithm is based on the queuing characteristics of the clown fish. In this paper a step by step methodology for the automatic MRI brain tumor segmentation is presented. Initially acquired MR brain images are divided into two approximately symmetric halves. Next skull is detected. Next an ellipse is fitted to the skull boundary, from which the line of symmetry is extracted. Final step is the tumor detection. The results of the proposed ...

AI and IoT‐Based Intelligent Automation in Robotics

Systems of elongated molecules, doped with small amounts of molecules lacking mirror symmetry can... more Systems of elongated molecules, doped with small amounts of molecules lacking mirror symmetry can form macroscopically twisted cholesteric liquid crystal phases. The aim of this work is to rigorously derive the Oseen-Frank model of cholesterics from a more fundamental model concerned with pairwise molecular interactions. A non-local mean-field model of the two-species nematic host/chiral dopant mixture is proposed, and it is shown that Oseen-Frank's elastic free energy for cholesteric liquid crystals can be obtained in a simultaneously large-domain and dilute-dopant asymptotic regime. By techniques of Γ-convergence, it is shown that in the asymptotic limit dopant-dopant interactions are negligable, the Frank constants and nematic host order parameter are unperturbed by the presence of dopant, but the mirror asymmetry of the dopant-host interaction leads to a macroscopically twisted ground state. The constant of proportionality between the helical wavenumber and dopant concentration, the helical twisting power (HTP), can be explicitly found through such an analysis, with a non-linear temperature dependence. Depending on the relative strengths of the host-host and host-dopant interactions, it is shown that HTP may increase or decrease with temperature.

Proportional-Integral-Derivative (PID) control is widely used in industries such as chemical, pet... more Proportional-Integral-Derivative (PID) control is widely used in industries such as chemical, petrochemical, robotics etc, since this control algorithm has been universally accepted in most of the industrial control. There are many factors that makes PID controller most popular, such as its low cost, easy maintenance and its robustness in a large range of operating condition. Razor flip-flops are incorporated to improvise the PID’s performance, by detecting and correcting the timing errors on critical path. A novelty has been introduced in the proposed methodology, which involves a Flip Flop called Razor Clock Gated Flip Flop (RCGFF) by using PulseTriggered Flip-Flop. This proposed outlook reduces the timing error and improves the integrated sequential circuits’ robustness. RCGFF has been used to achieve high-precision, high-speed, power reduction in static and average power consumption in PID controller. This procedure is appropriate for low power and data communication in PID cont...

Insufficient sleep has been found to be associated with a wide range of negative health and socia... more Insufficient sleep has been found to be associated with a wide range of negative health and social outcomes. The pharmacological approach to this problem often raises issues related to dependence and residual daytime side effects. An alternative approach offering a potential solution to sleep deprivation is a non-pharmacological technique. This paper presents a compact wearable sleep monitoring device prototype having the capabilities of tracking the sleep stages during the consecutive night sleep cycles, identifying the Slow Wave Sleep (SWS) stage. Embedded into the device prototype are sensors for monitoring body movements, EEG signal and heart rate during the consecutive night sleep cycles and can be used for more precise detection SWS stage.

With the rapid growth in technical evolution, medical field is growing like anything. For making ... more With the rapid growth in technical evolution, medical field is growing like anything. For making good sound we need cooperation from both hands. In this manner, now a day’s medical and engineering technology, both are joined together and developing new innovations in medical field. These innovations are enlightening the life of human by providing proper treatment. Medical field reached a tremendous place in diagnosing tumors after the discovery of CT and MRI. And still researchers are finding new things in the area of medical imaging. Recent bioengineering researchers involved in medical image segmentation algorithms to speed up the physician’s diagnostic process. In this paper we are describing the various types of brain tumor and their diagnostic methods in an engineering perspective.

With the growing research on medical image segmentation, it is essential to categorize the resear... more With the growing research on medical image segmentation, it is essential to categorize the research outcomes and provide readers with an overview of the existing segmentation techniques in medical images. In this paper, different image segmentation techniques applied on magnetic resonance brain images are reviewed. The selection of papers includes sources from image processing journals, conferences, books, dissertations and thesis. The conceptual details of the algorithms are explained and mathematical details are avoided for simplicity. Both broad and detailed categorizations of reviewed segmentation techniques are provided. The state of art research is provided with emphasis on developed algorithms and image properties used by them. The methods defined are not always mutually independent. Hence, their inter relationships are also stated. Finally, conclusions are drawn summarizing commonly used techniques and their complexities in application.

ABSTRACT: Magnetic Resonance Imaging (MRI) can be used to detect lesions in the brains of Multipl... more ABSTRACT: Magnetic Resonance Imaging (MRI) can be used to detect lesions in the brains of Multiple Sclerosis (MS) patients and is imperative for diagnosing the disease and monitoring its progression. In practice, lesion load is often quantified by either manual or semi-automated segmentation of MRI, which is time-consuming, costly. We proposed model for automatic segmentation of multiple sclerosis lesions from brain MRI data. These techniques use a supervised classifier that is trained Support Vector Machine (SVM) to discriminate between the blocks in regions of MS lesions and the blocks in non-MS lesion regions mainly based on the textural features with aid of the other features. The main contribution of this set of frameworks is the use of textural features to detect MS lesions in a fully automated approach that does not rely on manually delineating the MS lesions. As a result, the sensitivity for detection of MS lesions was 81.5% with 2.9 false positives per slice based on a leav...

Segmentation plays a vital role in medical imaging. Segmentation of an image is the partition or ... more Segmentation plays a vital role in medical imaging. Segmentation of an image is the partition or separation of the image into disjoint regions of similar feature. We propose a method that integrates Fuzzy C-Means (FCM) clustering and marker controlled watershed segmentation algorithm for medical image segmentation. The use of the usual watershed algorithm for medical image analysis is common because of its advantages, such as always being able to construct a complete division of the image. However, its downsides include over-segmentation and sensitivity to false edges. We concentrate on the downsides of the usual watershed algorithm when it is applied to medical images by using Fuzzy C-Means clustering to produce a primary segmentation of the image before we apply marker controlled watershed segmentation algorithm to it. The Fuzzy C-Means clustering is an unsupervised learning algorithm, while the marker controlled watershed segmentation algorithm makes use of automated thresholding...

This paper explains an IoT controlled remote monitoring system. For the implementation of this sy... more This paper explains an IoT controlled remote monitoring system. For the implementation of this system, Raspberry Pi is used. Raspberry Pi is a credit card sized single board computer, which has ARM11 microprocessor. A system is developed to continuously monitor the Electrocardiogram (ECG) and other vital parameters. The measured data is stored in a database and it can be displayed in a website that can be accessed only by authorized personnel like physicians, caretakers, etc. The primary objective of this setup is to update the data to the database and alert the physicians for any aberrancy. MySQLdb module is used to link Raspberry pi to the database. Alert message is sent by the combination of Raspberry Pi and GSM module. This system has more future scope as the data gathered by monitoring is very much important and can be used for scientific research by the medical community. By determining the patterns in the parameters observed, the nature of arrhythmias can be predicted. The pa...

Problem statement: Segmentation plays an important role in medical imaging. Segmentation of an im... more Problem statement: Segmentation plays an important role in medical imaging. Segmentation of an image is the division or separation of the im age into dissimilar regions of similar attribute. I n this study we proposed a methodology that integrates clustering algorithm and marker controlled watershed segmentation algorithm for medical image segmentation. The use of the conservative watershed algorithm for medical image analysis is pervasive b ecause of its advantages, such as always being able to construct an entire division of the image. On the o ther hand, its disadvantages include over segmentat ion and sensitivity to false edges. Approach: In this study we proposed a methodology that integr ates K- Means clustering with marker controlled watershed segmentation algorithm and integrates Fuzzy C- Means clustering with marker controlled watershed segmentation algorithm separately for medical image segmentation. The Clustering algorithms are unsupervised learning algorithms, while the...

Segmentation of the various elements among the particles is very important to medical decision. D... more Segmentation of the various elements among the particles is very important to medical decision. Despite the significant advancement in this field due to various proposed approaches, medical image segmentation is still an unsolved problem. Bayesian classifier is an efficient method used to improve the medical image segmentation. In order to eliminate the background no ises of images, we need preprocessing of images. After the preprocessing method, Bayesian classifier is used for classifying of particles in the image. Bayesian classifier is a powerful probabilistic graphical model that has been applied in computer vision. In this paper, we adapted some of the existing segmentation algorithms using Bayesian classifier and focused the effect of Bayesian classifier in segmentation algorithms.

This paper provides an insight into the non-contact vital parameter measurements, especially the ... more This paper provides an insight into the non-contact vital parameter measurements, especially the heart rate of a person from a short distance. The increasing demand to new developments in healthcare technologies poses inevitability to the thought of easing the patient monitoring in a non-invasive and unobtrusive manner. Patients, who are in need of regular checkups, find the existing modes of electrode-based and probe-based monitoring, a discomfort. To make the monitoring environment comfortable for the patients and to take the results in a continuous and rapid manner, the non-contact heart rate measurement comes as a boon to the healthcare sector. This paper deals with miniaturized radar-based non-contact heart rate measurement using hand gestures in a precise manner. Though there were lots of methods proposed for contactless measurements, this approach comes with better accuracy and ease of handling.

TOPOLOGY IN MEDICAL IMAGE SEGMENTATION M. C. Jobin Christ1 and R. M. S. Parvathi2 1Lecturer, Depa... more TOPOLOGY IN MEDICAL IMAGE SEGMENTATION M. C. Jobin Christ1 and R. M. S. Parvathi2 1Lecturer, Department of Biomedical Engineering, Adhiyamaan College of Engineering, Hosur, Tamilnadu, India. E-mail: jobinchrist@gmail.com 2Principal, Sengunthar College of Engineering for Women, Tiruchencode, Tamilnadu, India. E-mail: rmsparvathi@india.com Topology is the mathematical study of the properties that are sealed through deformations, twisting, and distending of objects. The topological belongings of objects are often very simple, irrespective of their geometric complexity. Human anatomy follows this rule, even for tremendously complicated shapes like the cerebral cortex or the vasculature. To achieve accurate and topologically correct descriptions of anatomical structures from medical images is a critical step for many clinical applications. Apart from pathological cases, most macroscopic brain structures are fully connected and do not possess any topological defect such as handles or cavi...

IOP Conference Series: Materials Science and Engineering, 2021

Int. J. of Aquatic Science, Jun 1, 2021

International Conference on Image Processing, Computer Vision, & Pattern Recognition, 2009

Plastic Surgery

Biomedical Research-tokyo, 2016

AI and IoT‐Based Intelligent Automation in Robotics