Papers by bethanney janney
Design of an automated oxygen flow control system for hypoxemic patients
Journal of Physics: Conference Series
Hypoxemia is a condition for which there is a lack of sufficient oxygen in the blood. Which might... more Hypoxemia is a condition for which there is a lack of sufficient oxygen in the blood. Which might range from minor issues like dizziness and shortness of breath to more severe problems like interfering with heart and brain functions. The amount of oxygen in a person’s blood indicates how efficiently the body transports oxygen from the lungs to the cells. The present research aims to design continuously monitor the blood oxygen level and to regulate the opening and closing of the oxygen flow meter valve using a servo motor. If the blood oxygen level is normal, the valve remains closed. If the blood oxygen level falls below the normal range, the valve is opened. The system employs a SpO2 sensor for monitoring the heart rate and oxygen saturation. The output of the sensor is sent to the microcontroller that comes up with an in-built analog to digital converter. Servo motor is utilized to control the flow meter valve to deliver the required oxygen to the patient during abnormal detectio...
Varicose Vein Diagnosis System and Therapy: A Review
2022 International Conference on Computer, Power and Communications (ICCPC), Dec 14, 2022
Designing of controlled wearable robot for the treatment of ankle injuries using flex sensors
2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT)
Design of an Intelligent Medicine Container using a Microcontroller
2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
International Journal of Engineering & Technology, 2018
Cervical Cancer is the abnormal growth of tissues in the lower, narrow part of the uterus (womb) ... more Cervical Cancer is the abnormal growth of tissues in the lower, narrow part of the uterus (womb) called the Cervix which connects the main body of the uterus, to the vagina or birth canal. Cervical cancer is one of the most common types of cancer that can be seen in women worldwide. Early detection and proper diagnosis can prevent the severity level and reduce the death rates .In this paper, we have proposed an automated diagnosis system of cervical cancer using texture features and Multiclass SVM (Support Vector Machine) Classifier in MRI images. Initially the MRI images are pre-processed to remove undesirable noises and other effects. After pre-processing, the image is segmented by Region growing method to obtain the region of interest. Texture features are extracted from the segmented region. Almost 22 features are extracted at the region of a segmented area and then passed on to Multiclass SVM Classifier to detect if the given image is cancerous or not. The results of the propos...
A Comparative Analysis of Skin Cancer Detection based on SVM, ANN and Naive Bayes Classifier
2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)
Skin cancer cases have grown worldwide, and it is by far the most common of all cancers. It is ca... more Skin cancer cases have grown worldwide, and it is by far the most common of all cancers. It is caused by the extended exposure to harmful radiations from the sun. Skin cancer can be broadly classified into two categories as melanocytic and non-melanocytic (benign). Most basic way to detect the threat of skin is by visual investigation performed by a specialist dermatologist employing a set of specific clinical tools. This paper describes novel image processing approaches for skin cancer detection using dermoscopy images. The motive of this work is to investigate and prefer an algorithm for skin cancer determination that can group the lesions as malignant or benign melanoma in terms of accuracy, sensitivity and specificity. Initially, the image samples showing melanoma are obtained by using dermoscope and segmented. It is then given for feature extraction and the results are classified using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Naive Bayes Classifiers.
Inducement of Artificial Sleep using Low Strength Magnetic Waves
Journal of physics, Aug 1, 2022
Prosthetic Arm with Functional Fingers and Wireless Recharge on Walk Function
Journal of Physics: Conference Series
The efficiency, tactile features, and weight of prosthetic limbs have all improved over time, but... more The efficiency, tactile features, and weight of prosthetic limbs have all improved over time, but the long charging period that comes with these benefits reduces their overall appeal. The purpose of this study is to incorporate a portable power source into the prosthetic arm in order to decrease downtime and increase reliability. The use of special footwear that serves as a regenerative power source for the prosthetic arm’s battery, a piezoelectric generator that generates energy while walking, and a charging station that transfers power directly to the prosthetic arm while on the move. The complete device allows the user to comfortably use the prosthetic arm for longer periods of time.
Detection of Malignancy of Skin Lesions Based on Local Texture And Fractal Analysis
Skin cancer, the deadliest form of cancer, must be diagnosed early for effective treatment. Skin ... more Skin cancer, the deadliest form of cancer, must be diagnosed early for effective treatment. Skin cancer can be defined as skin growths with differing causes and various degrees of malignancy. This paper describes novel image processing approaches for detecting how malignant a skin lesion is, based on its texture feature and fractal feature analysis. Fractal features refers to the geometry of the skin lesion and its analysis quantifies complex shapes of the tumor. Whereas texture features refers to the contrast of the cancer image, homogeneity, energy, entropy, etc. Images are taken using a dermatoscope and digital camera. Fractal dimensions are calculated on these images as it has been already experimentally proven that most of the information about the malignancy of the tumor is contained in the contours of the tumor shape. Fractal analysis helps in differentiating malignant tumor from a benign tumor. The texture and fractal feature analysis is done with the help of Grey Level Co-o...
International Journal of Engineering & Technology, 2018
Electroarthrography (EAG) is a recent technology proposed to detect cartilage degradation. It is ... more Electroarthrography (EAG) is a recent technology proposed to detect cartilage degradation. It is used to record electrical potentials generated on the surface of elbow while the joint undergoes compressive loading. The aim of this work is to understand the generation of EAG signals and to differentiate between the healthy and unhealthy elbow based on its cartilage degradation. It has been found that EAG signals originate from the cartilages based on the simulated and measured potential values distributions. Unhealthy cartilages produce varying current density with specific potential distribution. EAG signals can be used as a clinical tool to diagnose bone and cartilage degradation.
International Journal of Engineering & Technology, 2018
A mobile infant incubator is a preterm infant care medical tool which provides warmth, humidity a... more A mobile infant incubator is a preterm infant care medical tool which provides warmth, humidity and oxygen all in a controlled state of affairs as required by the New born baby. This incubator offers a clean condition, which has natural air, perfect and clean encompassing conditions for the infants. The main aim of the paper is to design and develop an Arudino based temperature and humidity control in an incubator.In the course of their initial weeks of lives infants are subjected to pain and soreness, so to conquer this major problem we have introduced a mechanism to traject maternal features to the infant. For this reasons the features are mimicked viva a pillow unit that has embedded with sensors and actuators. Our proposed system consists of sensors for monitoring critical parameters, Pillow unit for comforting the infants, GSM for transferring information to doctors and parents and Labview for output evaluation and all together controlled by Arudino microcontroller. Advances i...
International Journal of Enterprise Network Management, 2019
A brain tumour detection and classification system has been designed and developed. This work pre... more A brain tumour detection and classification system has been designed and developed. This work presents a new approach to the automated detection and classification of astrocytoma, medulloblastoma, glioma, glioblastoma multiforme and craniopharyngioma type of brain tumours based on k-means clustering and texture features, which separate brain tumour from healthy tissues in magnetic resonance images. The magnetic resonance feature image used for the tumour detection consists of T2-weighted magnetic resonance images for each axial slice through the head. The application of the proposed method for tracking tumour is demonstrated to help pathologists distinguish exactly tumour region and its type of tumour. The results are quantitatively evaluated by a human expert. The average overlap metric, average precision and the average recall between the results obtained using the proposed approach and ground truth are 0.92, 0.97 and 0.92, respectively. A classification with accuracy of 100%, 99% and 98% has been obtained by SVM, ANN and decision tree.
Air Ambulance Drone for Medical Surveillance
Journal of physics, Aug 1, 2022
International Journal of Research in Pharmaceutical Sciences
Interventions for movement dysfunction, including radiography and rhythmic planning, have demonst... more Interventions for movement dysfunction, including radiography and rhythmic planning, have demonstrated a significant increase in gait mechanics. While the optimum criteria for gait training are still to be determined, previous research shown that the training duration facilitates neural restructuring, thereby promoting the design of wearable technology for gait recovery. This work provides evidence of the advanced tool used to acquire muscle activity. Muscle activity is recorded and analyzed on Node micro controller unit, then sent to remote service using internet of things concepts, where message queuing telemetry transport protocol is used in the cloud based telemetry of the received signals and is given to the thing speak. The live recordings, along with the frequency variation of the gait in moving and stable condition, are also obtained on the central monitor using the MATLAB. By creating a device that can be used at home, patients would be able to practice and sustain longer r...
Sleep Disorder Diagnosis using EEG based Deep Learning Techniques
2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII)
This Proposed system detects the sleep disorder through the EEG signals using by deep learning te... more This Proposed system detects the sleep disorder through the EEG signals using by deep learning techniques (Alex net, Google net) in which EEG signals are used as inputs to a deep convolution network to solve visual recognition tasks. Electroencephalograph (EEG) based on sleep stage analysis is helpful for detect the sleep disorder. thirty-layer CNN model is designed to automatically detect the sleep disorder using EEG signals We Obtained accuracy to received output. Obtained good performance even with a smaller number of normal and sleep disorder data sets.
Intelligent Walking Stick with Static and Dynamic Obstacle Detection Technology for Visually Challenged People
2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII)
Visually challenged people are facing lots of problems in their day-to-day life. The main aim of ... more Visually challenged people are facing lots of problems in their day-to-day life. The main aim of the research is to design an intelligent walking stick to guide visually impaired people thereby improving their mobility. In this examination the walking stick is planned with all features of precision and productivity is likewise made high, relatively. The device comprises an array of both ultrasonic sensor and Passive Infrared sensor to detect the static as well as the dynamic obstacle in 180֯ range of 3m distance in three different directions (left, right, and front). Water sensor is also being attached to the system to detect the presence of both static and dynamic water. When an obstacle is sensed by the sensor, the emergency alert system warns the visually impaired person by a speech warning message. GPS-GSM system is used to track the position of the visually impaired person. On the off chance that the stick is lost, it can be discovered utilizing the remote that actuates the signal to find out the location of the stick. The remote consists of an Rf transmitter and the stick consist of an Rf receiver. Wireless transmission is being carried out between remote and walking stick.
Diagnosis of Skin Malignancy using Deep Learning Approaches
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
With the innovation of current healthcare systems, the medical profession is evolving and treatme... more With the innovation of current healthcare systems, the medical profession is evolving and treatment procedures are now being developed. The most prevalent human malignancy that affects the human population all over the world is skin cancer. High levels of absorption to the sun’s damaging rays are the source for this cancer. For accurate steps to improve the situation, early diagnosis of this cancer may be beneficial. Skin cancer detection has the ability to decrease mortality and morbidity. Artificial intelligence may be capable of classifying skin cancer with ability levels equivalent to those of dermatologists. This paper presents skin cancer identification by images that are processed by deep learning algorithms that require minimal human intervention. The system is trained given past image records stored in the device, allowing treatment to proceed earlier. In evaluating the efficiency of proposed procedures, well-known quantitative metrics such as precision, sensitivity and accuracy are used. Comparative analysis is performed to assess the effectiveness of the two approaches proposed.
Integrated Urine Pressure Measurement System
Research Journal of Pharmacy and Technology, 2017
A smaller than normal intrusive framework for long haul bladder pee weight estimation framework i... more A smaller than normal intrusive framework for long haul bladder pee weight estimation framework is exhibited. Is the plan cost decreased, as well as the unwavering quality is upgraded by utilizing a 1-atm wiping out detecting instrumentation amplifier (IA). Since the pee weight inside the bladder does not shift radically, both the resting and working modes are required so as to spare the battery control for long haul perception. The IA opens up the flag detected by the weight sensor, which is then sustained into the accompanying simple tocomputerized converter. Attributable to the inborn 1-atm weight existing inside the bladder, the IA must have the capacity to scratch off such a weight from the flag got by the weight sensor to keep the required linearity and the determination for weight estimation of the bladder pee. The weight scope of the proposed framework is discovered to be 14.7∼19.7 Psi, which covers the scope of the greater part of the known bizarre bladder disorders or difficulties. We have proposed a smaller than normal obtrusive long haul bladder pee weight estimation framework and the controller ASIC. Other than using the weight sensor and the RF module to abbreviate the outline time and cost, the ASIC accountable for summoning the greater part of the segments guarantees the dependability other than scaling down. With a specific end goal to do long haul perception, the dozing and working mode is then again enacted to amplify the battery life. The framework can absolutely detect the pressure in the range of 14.7 19.7 Psi, which has been esteemed as a very huge range for the exploration of bladder breakdowns.
A Smart Device to Identify the Pandemic of Chronic Obstructive Pulmonary Disease
Artificial Intelligence and Technologies, 2021
Design of Infusion Device for Disabled Patients
Artificial Intelligence and Technologies, 2021
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Papers by bethanney janney