This document lists 49 publications by R. Yadav across various domains including biomedical engineering, signal processing, and operating systems. The publications include peer-reviewed journal articles, conference papers, book chapters, technical reports, and a PhD thesis spanning the years 2000-2015. The publications cover topics such as seizure detection, heart rate variability analysis, biomedical sensor design, and more.
IRJET- Feature Selection and Classifier Accuracy of Data Mining AlgorithmsIRJET Journal
油
This document discusses using data mining algorithms and feature selection techniques to improve classifier accuracy for chronic kidney disease prediction. It analyzes the J48 and Naive Bayes classifiers on different combinations of attributes from a chronic kidney disease dataset, ranked by information gain. The classifiers were tested on attribute combinations from highest to lowest ranked attributes. J48 achieved the highest accuracy of 96.75% using highly ranked attributes, demonstrating the benefit of feature selection for improving classifier performance.
An Intelligent Expert Based System Neural Network For The Diagnosis Of Type2 ...AM Publications
油
This paper presents an intelligent expert based system neural network for the diagnosis of Type 2 diabetes
patients, given the variable, NPG- Number of times pregnant, PGL-Plasma Glucose concentration a 2 hours in an oral
glucose tolerance test, DIA-Diastolic blood pressure(mmHg),TSF-Triceps skin fold thickness (mm), INS-2-Hour serum
insulin (mu U/ml), BMI-Body mass index (weight in kg/(height in m)^2), DPF-Diabetes pedigree function, AGE-Age
(years) , the variable diabet was classified by ANN as either present or not present, Diabet- Class variable (0 or 1). In this
study, general regression and neural network (GRNN) tools are applied to data sets they were investigated, the results are
presented and discussed.
Enhancing the Security for Clinical Document Architecture Generating System u...IRJET Journal
油
The document proposes enhancing security for clinical document architecture (CDA) generation systems using AES encryption with an artificial neural network. Currently, CDA files from different hospitals are integrated in the cloud without strong security. The proposed approach uses AES encryption but replaces the standard key expansion with an artificial neural network trained to generate the encryption keys. This adds an extra layer of security since an adversary would not know the neural network topology used to generate the keys. The neural network is trained to match the output of standard AES key expansion and is analyzed to show it can produce the same encryption as conventional AES.
Improve The Performance of K-means by using Genetic Algorithm for Classificat...IJECEIAES
油
This document summarizes a research paper that used genetic algorithms to improve the performance of the K-means clustering algorithm for classifying heart attack cases. The paper first classified a dataset of 270 heart disease cases using only K-means, which achieved an accuracy of 68.1481%. It then proposed a two-stage method: 1) Using genetic algorithm to select important predictive features for classification. 2) Applying K-means clustering using only the selected features. This improved approach increased the classification accuracy to 84.0741%. The paper concluded that genetic algorithm effectively reduced irrelevant features and strengthened the performance of K-means classification for the heart disease dataset.
Cross platform challenges and opportunities for games and interactive developersBruno Fonzi
油
This document discusses the challenges and opportunities of cross-platform development. It provides a brief history of cross-platform development from the 1980s to today. In the 1980s, cross-platform development was not really an option due to limitations in hardware and software. The 1990s saw the rise of Java and the internet, which enabled true cross-platform development. Today, developers must account for a wide variety of operating systems, devices, screen sizes, and programming languages. The document also outlines different technical strategies for cross-platform development and discusses technologies like web apps, hybrid apps, and native apps.
Google began as a research project at Stanford University and has since grown into a large technology company. Google is working on making their data servers more energy efficient and using renewable energy sources like solar panels to power their facilities. The document discusses topics related to renewable energy and environmental protection around Earth Day.
This document lists over 50 specialized training courses completed by Jason D Shelby between 2001 and 2009 related to law enforcement, security, firearms, tactics, and emergency response. The courses range from 3 to 420 hours and include topics such as pistol, shotgun, and rifle instruction, self defense, executive protection, drug enforcement, incident command, and canine handling. In total, the document indicates Mr. Shelby completed over 1655 hours of specialized training.
This short document discusses Nicole Kidman's song "One day i'll fly away In the air." It mentions that the singer will see the reader on their next flight but provides no other details about the song or its meaning.
Join CODAME in the Adopt an Artist program, a pioneering initiative that seeks to support the creators, producers, enablers of genre-bending art and technology. Combining art, science, and engineering, an adopted artist will collaborate with your organization to showcase innovative technology through creative works of art that ignite the imagination and explore the extent of possibility.
Through Adopt an Artist program your organization can:
Collaborate with CODAME artists through the Artist in Residence program
Display original works of art on site
Showcase speakers working at the interface of art and technology
Sponsor creative and inspiring team workshops
Host unique, educational, and inspirational community outreach events
FAQ
What are the benefits adopting a CODAME artist?
Working with a CODAME artist is an opportunity to experiment, play, learn,, and be inspired,.
Bespoke art installations and digital content present unique branding and publicity opportunities.
Featured partners at CODAME events gain access to a unique mix of engineers, designers, hackers and makers.
It supports the arts!
What types of artists are in the CODAME network?
CODAME exists to incubate and support emerging artists, technologists and designers that push the boundaries of hardware, software, and physical/digital mediums with an emphasis on artistic expression and creativity. CODAME artists span all stages of development, across all different mediums, and are located all over the world. You can learn more about the talent in the CODAME network on our Featured Artists page.
Can I have a CODAME artist partner with my team on creative projects?
Yes, through the Artist in Residence program, CODAME artists will work with your most innovative teams and technologies to create genre-bending artwork and installations.
What kind of costs are involved?
We can tailor content to match any budget, with each project as unique as the client. Lets begin the conversation.
http://www.codame.com/adopt/
Geef Je Organisatie Toekomst Word De Held P84 En 85Karen de Vries
油
\Word de held\schreef ik voor het boek \Geef je organisatie toekomst\van Kim Castenmiller en Dirk Anton van Mulligen. Over wat verhalen betekenen voor een sensitieve organisatie.
This thesis presents research on developing techniques to automatically detect and classify seizures and interictal spikes from electroencephalogram (EEG) recordings. The thesis focuses on both non-patient-specific and patient-specific seizure detection systems. It also presents an unsupervised spike sorting system.
The document describes three new non-patient-specific seizure detection systems proposed in the thesis. The first system is based on quantifying the temporal evolution of seizure waveforms using frequency-weighted energy. The second system quantifies the sharpness of EEG waveforms. The third system mimics how EEG experts detect seizures. Performance is evaluated and compared to existing systems using intracranial EEG databases.
The thesis also proposes a new patient
CODAME Introduction at the Yerba Buena Art Center for the Dissident Futures Art and Ideas Festival.
http://codame.com/post/67544184372/join-codame-to-play-celebrate-and-inspire-the
Workers at the Gina Form Bra Factory in Thailand are calling on La Senza to help keep the factory open. Gina is one of the few apparel factories in Asia with an independent union and decent working conditions. The factory owners plan to close the factory on October 31 and shift orders to China, which will result in 1,600 workers losing their jobs. Anti-sweatshop groups are calling on major brands like La Senza, Victoria's Secret, and Gap to ensure the factory stays open and respects workers' right to freedom of association.
Information Architecture for Retail Web Sites: Lessons from the FieldNick Berry
油
The document discusses information architecture (IA) in retail, focusing on its goals and challenges. The three main goals of IA in retail are: 1) Filtering out complexity to highlight relevant information for customers, 2) Enabling reusable and consistent organization of content, and 3) Developing a common language and taxonomy to make business data more meaningful. Key challenges include overcoming technological limitations, political issues between departments, and maintaining an open perspective oneself.
Elizabeth Rufus is a professor in the School of Electronics Engineering at VIT University in Vellore, India. She received her Ph.D. in Microwave Imaging from VIT University in 2010. Her research focuses on microwave imaging, wearable sensors, and biomedical applications of electromagnetic theory. She has developed a microwave UWB radar for breast cancer detection and has worked on projects in non-destructive testing and hyperthermia treatment. She has published over 30 papers in the last few years and has received funding from various government agencies for her research projects.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This research task develops a mobile healthcare analysis system (PHAS) which combines both easy ECG signal measurement and reliable analysis of heart rate variability for home care purpose. The PHAS is composed by a health care platform (HCP) and a data system analysis (DSA) module. The HCP consists of a self-developed two pole electrocardiography (ECG) measuring device and the DSA a data processing unit for detection and analysis of heart rate variability. For the DSA module, the adaptive R Peak detection algorithm is proposed to reliably detect the R peak of ECG for HRV analysis. A number of features are extracted from ECG signals. A data mining method is employed for HRV analysis to exploit the correlation between HRV and these features. Experiments are conducted by establishing a database of ECG signals measured from 29 subjects under rest and exercise condition. The results show the PHASs significant potential in mobile applications of personal daily health care.
This document provides biographical information about Taewoo Kim in 3 sections: education, experience, and honors & awards. It summarizes that Kim received his PhD in electrical engineering from the University of Illinois in 2015. He has held postdoctoral positions at Caltech and Washington University studying quantitative phase imaging. His research focuses on optical imaging techniques for biomedical applications. He has received several honors and awards for his graduate work and published over 20 papers.
This document describes a study that designed ECG and EEG hardware and implemented software using LabVIEW to analyze medical test data and identify abnormalities. The goal was to develop a robotic system to facilitate remote patient monitoring and doctor-patient interaction. Hardware was designed using Multisim to condition ECG and EEG signals. LabVIEW was used to analyze the signals, detect abnormalities in ECG and EEG reports, and calculate pulse rate. The system is intended to help address issues with limited doctor availability in India by allowing remote medical testing and consultation.
This document discusses using data mining classifiers and attribute reduction techniques to predict chronic kidney disease (CKD) more accurately and efficiently. It first provides background on CKD and the need for early detection. It then discusses data mining, classification algorithms, attribute selection filters and wrappers. The document analyzes several studies that predicted CKD using techniques like decision trees, SVM and Naive Bayes. It describes the dataset used from the UCI repository and evaluation metrics. The results section compares J48, Decision Tree and IBK classifiers with and without attribute reduction using CfsSubsetEval, ClassifierSubsetEval and WrapperSubsetEval. Attribute reduction improved accuracy, especially for IBK which achieved 100% accuracy with 72% fewer attributes.
Parkinsons Disease Detection Using Transfer LearningIRJET Journal
油
This document presents a study on detecting Parkinson's disease using transfer learning on sketch images. The researchers collected spiral and wave sketch images from healthy and Parkinson's patients. They used pre-trained Inception v3 and ResNet50 models with transfer learning to classify the sketches. Inception v3 achieved 92.83% accuracy in distinguishing between healthy and Parkinson's patient sketches. The study demonstrates the potential of using deep learning and transfer learning on motor symptoms like sketching to help detect Parkinson's disease early. Future work could improve the methodology and datasets to better identify the disease.
This document discusses 10 highly cited papers from the International Journal on Cybernetics & Informatics. It provides brief summaries of 3 papers:
1. The first paper discusses using data mining classification algorithms like Naive Bayes and Support Vector Machine to predict kidney disease. It finds SVM performs better based on accuracy and runtime.
2. The second paper focuses on the design and analysis of Current Starved Ring Voltage Controlled Oscillators for PLL applications. It designs a CSVCO in CMOS technology with a frequency range of 53MHz to 2.348GHz and power consumption of 848uW.
3. The third paper presents a method to recognize vehicle license plates using morphology operations and a neural network
This document lists over 50 specialized training courses completed by Jason D Shelby between 2001 and 2009 related to law enforcement, security, firearms, tactics, and emergency response. The courses range from 3 to 420 hours and include topics such as pistol, shotgun, and rifle instruction, self defense, executive protection, drug enforcement, incident command, and canine handling. In total, the document indicates Mr. Shelby completed over 1655 hours of specialized training.
This short document discusses Nicole Kidman's song "One day i'll fly away In the air." It mentions that the singer will see the reader on their next flight but provides no other details about the song or its meaning.
Join CODAME in the Adopt an Artist program, a pioneering initiative that seeks to support the creators, producers, enablers of genre-bending art and technology. Combining art, science, and engineering, an adopted artist will collaborate with your organization to showcase innovative technology through creative works of art that ignite the imagination and explore the extent of possibility.
Through Adopt an Artist program your organization can:
Collaborate with CODAME artists through the Artist in Residence program
Display original works of art on site
Showcase speakers working at the interface of art and technology
Sponsor creative and inspiring team workshops
Host unique, educational, and inspirational community outreach events
FAQ
What are the benefits adopting a CODAME artist?
Working with a CODAME artist is an opportunity to experiment, play, learn,, and be inspired,.
Bespoke art installations and digital content present unique branding and publicity opportunities.
Featured partners at CODAME events gain access to a unique mix of engineers, designers, hackers and makers.
It supports the arts!
What types of artists are in the CODAME network?
CODAME exists to incubate and support emerging artists, technologists and designers that push the boundaries of hardware, software, and physical/digital mediums with an emphasis on artistic expression and creativity. CODAME artists span all stages of development, across all different mediums, and are located all over the world. You can learn more about the talent in the CODAME network on our Featured Artists page.
Can I have a CODAME artist partner with my team on creative projects?
Yes, through the Artist in Residence program, CODAME artists will work with your most innovative teams and technologies to create genre-bending artwork and installations.
What kind of costs are involved?
We can tailor content to match any budget, with each project as unique as the client. Lets begin the conversation.
http://www.codame.com/adopt/
Geef Je Organisatie Toekomst Word De Held P84 En 85Karen de Vries
油
\Word de held\schreef ik voor het boek \Geef je organisatie toekomst\van Kim Castenmiller en Dirk Anton van Mulligen. Over wat verhalen betekenen voor een sensitieve organisatie.
This thesis presents research on developing techniques to automatically detect and classify seizures and interictal spikes from electroencephalogram (EEG) recordings. The thesis focuses on both non-patient-specific and patient-specific seizure detection systems. It also presents an unsupervised spike sorting system.
The document describes three new non-patient-specific seizure detection systems proposed in the thesis. The first system is based on quantifying the temporal evolution of seizure waveforms using frequency-weighted energy. The second system quantifies the sharpness of EEG waveforms. The third system mimics how EEG experts detect seizures. Performance is evaluated and compared to existing systems using intracranial EEG databases.
The thesis also proposes a new patient
CODAME Introduction at the Yerba Buena Art Center for the Dissident Futures Art and Ideas Festival.
http://codame.com/post/67544184372/join-codame-to-play-celebrate-and-inspire-the
Workers at the Gina Form Bra Factory in Thailand are calling on La Senza to help keep the factory open. Gina is one of the few apparel factories in Asia with an independent union and decent working conditions. The factory owners plan to close the factory on October 31 and shift orders to China, which will result in 1,600 workers losing their jobs. Anti-sweatshop groups are calling on major brands like La Senza, Victoria's Secret, and Gap to ensure the factory stays open and respects workers' right to freedom of association.
Information Architecture for Retail Web Sites: Lessons from the FieldNick Berry
油
The document discusses information architecture (IA) in retail, focusing on its goals and challenges. The three main goals of IA in retail are: 1) Filtering out complexity to highlight relevant information for customers, 2) Enabling reusable and consistent organization of content, and 3) Developing a common language and taxonomy to make business data more meaningful. Key challenges include overcoming technological limitations, political issues between departments, and maintaining an open perspective oneself.
Elizabeth Rufus is a professor in the School of Electronics Engineering at VIT University in Vellore, India. She received her Ph.D. in Microwave Imaging from VIT University in 2010. Her research focuses on microwave imaging, wearable sensors, and biomedical applications of electromagnetic theory. She has developed a microwave UWB radar for breast cancer detection and has worked on projects in non-destructive testing and hyperthermia treatment. She has published over 30 papers in the last few years and has received funding from various government agencies for her research projects.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This research task develops a mobile healthcare analysis system (PHAS) which combines both easy ECG signal measurement and reliable analysis of heart rate variability for home care purpose. The PHAS is composed by a health care platform (HCP) and a data system analysis (DSA) module. The HCP consists of a self-developed two pole electrocardiography (ECG) measuring device and the DSA a data processing unit for detection and analysis of heart rate variability. For the DSA module, the adaptive R Peak detection algorithm is proposed to reliably detect the R peak of ECG for HRV analysis. A number of features are extracted from ECG signals. A data mining method is employed for HRV analysis to exploit the correlation between HRV and these features. Experiments are conducted by establishing a database of ECG signals measured from 29 subjects under rest and exercise condition. The results show the PHASs significant potential in mobile applications of personal daily health care.
This document provides biographical information about Taewoo Kim in 3 sections: education, experience, and honors & awards. It summarizes that Kim received his PhD in electrical engineering from the University of Illinois in 2015. He has held postdoctoral positions at Caltech and Washington University studying quantitative phase imaging. His research focuses on optical imaging techniques for biomedical applications. He has received several honors and awards for his graduate work and published over 20 papers.
This document describes a study that designed ECG and EEG hardware and implemented software using LabVIEW to analyze medical test data and identify abnormalities. The goal was to develop a robotic system to facilitate remote patient monitoring and doctor-patient interaction. Hardware was designed using Multisim to condition ECG and EEG signals. LabVIEW was used to analyze the signals, detect abnormalities in ECG and EEG reports, and calculate pulse rate. The system is intended to help address issues with limited doctor availability in India by allowing remote medical testing and consultation.
This document discusses using data mining classifiers and attribute reduction techniques to predict chronic kidney disease (CKD) more accurately and efficiently. It first provides background on CKD and the need for early detection. It then discusses data mining, classification algorithms, attribute selection filters and wrappers. The document analyzes several studies that predicted CKD using techniques like decision trees, SVM and Naive Bayes. It describes the dataset used from the UCI repository and evaluation metrics. The results section compares J48, Decision Tree and IBK classifiers with and without attribute reduction using CfsSubsetEval, ClassifierSubsetEval and WrapperSubsetEval. Attribute reduction improved accuracy, especially for IBK which achieved 100% accuracy with 72% fewer attributes.
Parkinsons Disease Detection Using Transfer LearningIRJET Journal
油
This document presents a study on detecting Parkinson's disease using transfer learning on sketch images. The researchers collected spiral and wave sketch images from healthy and Parkinson's patients. They used pre-trained Inception v3 and ResNet50 models with transfer learning to classify the sketches. Inception v3 achieved 92.83% accuracy in distinguishing between healthy and Parkinson's patient sketches. The study demonstrates the potential of using deep learning and transfer learning on motor symptoms like sketching to help detect Parkinson's disease early. Future work could improve the methodology and datasets to better identify the disease.
This document discusses 10 highly cited papers from the International Journal on Cybernetics & Informatics. It provides brief summaries of 3 papers:
1. The first paper discusses using data mining classification algorithms like Naive Bayes and Support Vector Machine to predict kidney disease. It finds SVM performs better based on accuracy and runtime.
2. The second paper focuses on the design and analysis of Current Starved Ring Voltage Controlled Oscillators for PLL applications. It designs a CSVCO in CMOS technology with a frequency range of 53MHz to 2.348GHz and power consumption of 848uW.
3. The third paper presents a method to recognize vehicle license plates using morphology operations and a neural network
Samir Kumar Biswas is an ultrasound and optical physicist/engineer seeking a challenging position in biomedical engineering. He has experience developing photoacoustic and ultrasound imaging systems and has published papers on topics like diffuse optical tomography, angiogenesis monitoring, and rheumatoid arthritis diagnosis. He holds a PhD from the Indian Institute of Science and has held research positions at NUS and the University of Twente.
This document is a curriculum vitae for Dr. Ajay Kumar Singh, an Assistant Professor in the Department of Computer Science & Engineering at Mody University of Science & Technology in Lakshmangarh, Rajasthan, India. It outlines his educational background, research interests, publications, teaching experience, professional memberships, and seminars/conferences attended and organized. His research focuses on image processing, computer vision, and soft computing techniques. He has over 14 years of teaching experience and has authored over 24 peer-reviewed articles and book chapters.
The document describes a smart healthcare monitoring system for independent living. Some key points:
- The system collects data from sensors monitoring daily living activities, physiological signals, and the environment to determine a person's wellness and ability to live independently.
- Sensors are deployed throughout the home to monitor activities like using appliances, mobility, and vital signs. The data is analyzed to recognize patterns and forecast wellness.
- Wellness is determined based on indices measuring inactive time and excess usage of appliances. The indices are improved over time using dynamic thresholds.
- Patterns in sensor activity are analyzed to detect irregular behaviors that could indicate issues. Forecasting is used to predict daily activities and identify deviations.
This document provides the proceedings of the International Conference on Convergence of Optics and Electronics (COE 2011) held from March 26-27, 2011 in Kolkata, India. It includes 7 invited talks, 32 accepted papers covering topics at the intersection of optics and electronics, and information about the conference organization. The proceedings were published by the JIS College of Engineering SPIE Student Chapter.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
MOST READ ARTICLES IN ARTIFICIAL INTELLIGENCE - International Journal of Arti...gerogepatton
油
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
TOP Most Read Articles in Informatics Engineeringieijjournal
油
Informatics is rapidly developing field. The study of informatics involves human-computer interaction and how an interface can be built to maximize user-efficiency. Due to the growth in IT, individuals and organizations increasingly process information digitally. This has led to the study of informatics to solve privacy, security, healthcare, education, poverty, and challenges in our environment. The Informatics Engineering, an International Journal (IEIJ) is a open access peer-reviewed
journal that publishes articles which contribute new results in all areas of Informatics. The goal of this journal is to bring together researchers and practitioners
from academia and industry to focus on the human use of computing fields such as communication, mathematics, multimedia, and human-computer interaction design and establishing new collaborations in these areas.
TOP Most Read Articles in Informatics Engineeringieijjournal
油
Publication_List_2015
1. Peer-reviewed
Journal
Publications
[1] Sharma P.; Makharia G.; Yadav R.* ; Dwivedi S. D.and Deepak K. K. (2015),
Gastric myoelectrical activity in patients with in鍖ammatory bowel disease, Jour-
nal of Smooth Muscle Research, 51 (0), 50-57.
[2] Begum D.; Ravikumar K.M.; Mathew J.; Kubakaddi S. and Yadav R. (2015),
EEG-based patient monitoring system for mental alertness using adaptive neuro-
fuzzy approach, Journal of Medical and Bioengineering, 4(1), 59-66.
[3] Yadav R.; Shah A. K.; Loeb J. A.; Swamy M. N. S., & Agarwal R. (2012),
Morphology-based automatic seizure detector for intracerebral EEG recordings,
IEEE Transactions on Biomedical Engineering, 59(7), 1871-1881.
[4] Yadav, R.; Agarwal, R. & Swamy M. N. S. (2012), Model-based seizure detection
for intracranial EEG recordings, IEEE Transactions on Biomedical Engineering
59(5), 14191428.
[5] Mukherjee, S.; Yadav, R.; Yung, I.; Zajdel, D. P. & Oken, B. S. (2011), Sensitivity
to mental e鍖ort and test-retest reliability of heart rate variability measures in
healthy seniors, Clinical Neurophysiology, 122(10), 20592066.
[6] Mukherjee, S.; Tripathi, M.; Chandra, P. S.; Yadav, R.; Choudhary, N.; Sagar,
R.; Bhore, R.; Pandey, R. M. & Deepak, K. K. (2009), Cardiovascular autonomic
functions in well-controlled and intractable partial epilepsies, Epilepsy Research
85(2-3), 261269.
[7] Agarwal, R.; Yadav, R.; Anand, S.; Suri, J. C. & Girija, J. (2007), Electrical
impedance plethysmography technique in estimating pulmonary function status,
Journal of Medical Engineering & Technology, 31(1), 1-9.
Peer-reviewed
Conference
Publications
(Short Papers)
[8] Yadav, R., Lalibert辿 M.; Archambault A.; Villeneuve A.; L辿gar辿 F. and Doillon
C. J. (2014), Rapid Identi鍖cation of Cancerous Cells in the Murine Xenograft
Models, Proceedings of IEEE Engineering in Medicine and Biology Society Con-
ference, xx-xx.
[9] Yadav, R; Shah, A. K.; Loeb, J. A.; Swamy, M. N. S. & Agarwal, R. (2011),
A novel unsupervised spike sorting algorithm for intracranial EEG recordings,
Proceedings of IEEE Engineering in Medicine and Biology Society Conference,
7545-7548.
[10] Yadav, R.; Swamy, M. N. S. & Agarwal, R. (2011), Rapid identi鍖cation of epilep-
togenic sites in the intracranial EEG recordings, Proceedings of IEEE Engineer-
ing in Medicine and Biology Society Conference, 7553-7556.
[11] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2010), A novel morphology-based
classi鍖er for automatic detection of epileptic seizures, Proceedings of IEEE En-
gineering in Medicine and Biology Society Conference, 55455548.
[12] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2009), A new improved model-
based seizure detection using statistically optimal null 鍖lter, Proceedings of IEEE
Engineering in Medicine and Biology Society Conference, 13181322.
[13] Petkar, H.; Dande, S.; Yadav, R.; Zeng, Y. & Nguyen, T. A. (2009), A pilot study
to assess designers mental stress using eye gaze system and electroencephalogram,
Proceedings of ASME International Design Engineering Technical Conference,
899909.
[14] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2008), A novel dual-stage classi鍖er
for automatic detection of epileptic seizures, Proceedings of IEEE Engineering in
Medicine and Biology Society Conference, 911914.
1 of 4
* denotes senior author
2. [15] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2007), Detection of epileptic seizures
in stereo-EEG using frequency-weighted energy, Proceedings of IEEE Midwest
Symposium on Circuits and Systems, 7780.
[16] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2007), STFT-Based segmentation
in model-based seizure detection, Proceedings of IEEE Canadian Conference on
Electrical and Computer Engineering, 729732.
Peer-reviewed
Abstracts
[17] Burgoyne B.; Yadav R.; Archambault A.; Gigu竪re M.; Dupuis A., Kim Y. and
Villeneuve A. (2015), Synchronization of a programmable laser and Ti: Sapphire
laser using an optical feedback, SPIE Photonics West 2015 LASE, xx-xx.
[18] Gigu竪re M.; Yadav R.; Burgoyne B. and Villeneuve A. (2014), Widely-tunable
mid-infrared laser source as key component for molecular spectroscopy systems,
Proceedings of SPIE Photonics West 2014.
[19] Kim Y.; Yadav R.; Dupuis A.; Villeneuve A. and Salhany J. (2013), Applica-
tions of swept-鍖ber-laser-based nonlinear (CARS, SRS) or linear (mid-infrared)
molecular spectroscopy system, Proceedings of SPIE Optical Engineering + Ap-
plications 2013.
[20] Bradley, B.; Green, G.; Yadav, R.; Batkin, I. & Seely, A. J. E. (2011), The
feasibility of continuous heart and respiratory rate variability analysis in the
intensive care unit: A pilot investigation, Journal of Critical Care, 26(2), e5.
[21] Bradley, B.; Yadav, R.; Green, G.; Batkin, I. & Seely, A. J. E. (2010), Impact
of sedation on continuous heart and respiratory rate variability monitoring in
critically ill patients, Critical Care Medicine, 38(12), e5.
[22] Yadav, R.; Agarwal, R. & Swamy, M. N. S. (2010), Smart monitoring and thera-
peutic application of the self-adapting seizure detection system, IEEE Workshop
on Adverse Response Monitoring-WARM-2010.
[23] Yadav, R.; Deepak, K. K.; Tuli, S. & Anand, A. (2004), A study of heart rate
variability and respiratory frequencies in epilepsy, Indian Journal of Physiology
and Pharmacology, 48(5), 172.
[24] Sharma, P.; Makharia, G.; Yadav, R. & Deepak, K. K., (2004), Non-invasive
measurement of gastric myoelectrical activity in crohns disease, Indian Journal
of Physiology and Pharmacology, 48(5), 185.
[25] Dubey, S.; Yadav, R.; Maladen, R. & and Anand, S. (2004), Optical Imaging of
chakras using PPG, Proceedings of International conferences on laser application
and optical metrology, IIT Delhi, India.
[26] Deepak, K. K.; Vyas, A.; Singh, N.; Sharma, R. K.; Yadav, R. & Singh, D. (2003),
Indigenously developed software for HRV analysis using the concept of virtual
instrumentation, Indian Journal of Physiology and Pharmacology, 47(5), 28.
Non-referred
Conference
Publications
[27] Yadav, R.; Deepak, K. K.; Tuli, S. & Anand, A. (2004), Galvanic skin resistance
(GSR): a study in epilepsy, Proceedings of National Convention of Electronics
and Telecommunication Engineers, IETE Delhi State Chapter, 4 pages.
[28] Yadav, R.; Deepak, K. K.; Tuli, S. & Anand, A. (2004), Trend in pulse wave anal-
ysis, Baldev Singh workshop on non-invasive measurement of peripheral blood
鍖ow and cardiac output, 6 pages.
2 of 4
3. [29] Kubbakadi, S.; Yadav, R.; Deepak, K. K.; Tuli, S. & Anand, S. (2004), EOG signal
analysis: For assistive devices, Proceedings of National Convention of Electronics
and Telecommunication Engineers, IETE Delhi State Chapter, 4 pages.
[30] Sharma, P.; Yadav, R.; Deepak, K. K.; Tuli, S. & Anand, S.. (2004), Non-invasive
measurement of gastric myoelectrical activity in Ulcerative colitis, Proceedings
of National Convention of Electronics and Telecommunication Engineers, IETE
Delhi State Chapter, 4 pages.
Press Releases
and Other
Publications
[31] Yadav R., Automatic detection and classi鍖cation of neural signals in epilepsy,
PhD thesis, Concordia University, Montreal, QC, Canada, 1-262, 2012.
[32] Desjardins, S-J., New way to detect epileptic seizures, Press Release, EurekAlert,
2011.
[33] Atack, C., Seizing: The moment, Concordia University, NOW Magazine, March,
2011.
[34] Yadav R., Evaluation of McSleepy: Automated Anesthesia System, Technical
report, McGill University, 1-8, 2009.
[35] Yadav R.; Tejuja, A; Ahmad, S.; Newman K. D. & Seely, A. J. E., Monitoring
respiratory variability: Methodology, pathophysiology and application, Technical
report, Ottawa Hospital Research Institute, Ottawa, Canada, 1-21, 2009.
[36] Yadav R., Continuous individualized multi-organ variability, Technical report, Ot-
tawa Hospital Research Institute, Ottawa, Canada, 1-75, 2009.
[37] Yadav, R.; Geris, H; Nizami, S.; Batkin, I. & Seely, A. J. E., Validation and
performance evaluation of CIMVA algorithms, Technical report, Ottawa Hospital
Research Institute, Ottawa, Canada, 1-10, 2009.
[38] Yadav, R., A novel data-adaptive QRS detection algorithm, Technical report,
Ottawa Hospital Research Institute, Ottawa, Canada, 1-10, 2008.
[39] Yadav, R., Dinural variation in heart rate variability in excercise testing, Ottawa
Hospital Research Institute, Ottawa, Canada, 1-8, 2008.
[40] Yadav, R., Heart rate variability during excercise testing: a preliminary evalua-
tion, Ottawa Hospital Research Institute, Ottawa, Canada, 1-6, 2008.
[41] Yadav, R., Evaulation of variability outcomes using the high-鍖delity ECG wave-
forms and inter-beat-interval data, Technical report, Ottawa Hospital Research
Institute, Ottawa, Canada, 1-6, 2008.
[42] Yadav, R., Self-learning seizure detection system, Technical report, Concordia
University, Montreal, QC, Canada, 1-30, 2008.
[43] Yadav, R., Self-adapting seizure detection system, Technical report, Concordia
University, Montreal, QC, Canada, 1-40, 2007.
[44] Yadav, R., Recurrent neural network and Lyapunov exponents in the classi鍖cation
of EEG signals, Technical report, Concordia University, Montreal, QC, Canada,
1-20, 2006.
[45] Yadav, R., Classi鍖cation of epileptic spikes using wavelet transform, Technical
report, Concordia University, Montreal, QC, Canada, 1-20, 2005.
[46] Yadav, R., Quanti鍖cation of autonomic tones in epilepsy, Technical report, Indian
Institute of Technology, Delhi, India, 1-30, 2004.
3 of 4
4. [47] Yadav, R., Surface acoustic wave (SAW)-based sensors in biomedical engineering,
Technical report, Indian Institute of Technology, Delhi, India, 1-40, 2003.
[48] Yadav, R., Real-time operating systems (RTOS), Technical report, Department
of Electronics, Deen Dayal Upadhyay Gorakhpur University, Gorakhpur, Uttar
Pradesh, India, 1-20, 2000.
[49] Yadav, R., Simulation of Windows operating system, Technical report, Depart-
ment of Electronics, Deen Dayal Upadhyay Gorakhpur University, Gorakhpur,
Uttar Pradesh, India, 1-100, 2001.
4 of 4