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Development of Point of Care Testing Device for Neurovascular Coupling from Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation

U. Jindal, M. Sood, A. Dutta, S.R. Chowdhury

This paper presents a point-of-care testing device for bedside measurement of cerebral blood flow and cerebrovascular reserve. The device detects neurovascular coupling (NVC) from simultaneous recording of electroencephalogram and near infra red spectroscopy during anodal transcranial direct current stimulation (tDCS). Studies in healthy subjects and stroke survivors…

Authors

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U JindalU Jindal
Mr. Jindal is pursuing a M.S. degree in Electronics and Communication Engineering from the International Institute of Information Technology, Hyderabad, India. His research interests involve the development of embedded systems for biomedical applications.

M SoodM Sood
Ms. Sood is pursuing a M.S. degree in Electronics and Communication Engineering from the International Institute of Information Technology, Hyderabad, India. Her research interests involve the development of solutions to healthcare needs and embedded system design.

A DuttaA Dutta
Dr. Dutta is is currently the Principal Investigator of the Institut national de recherche en informatique et en automatique – INRIA’s NeuroPhys4NeuroRehab project in the DEMAR research group of the Montpellier Laboratory of Informatics, Robotics, and Microelectronics.

SR ChowdhurySR Chowdhury
Dr. Chowdhury is currently an Assistant Professor at the Centre for VLSI and Embedded Systems Technology, IIIT, Hyderabad, India. His research interests span around the development of Biomedical Embedded Systems, VLSI architectures and ASIC design of intelligent signal processing circuits.



Automated Lung Segmentation and Image Quality Assessment for Clinical 3-D/4-D-Computed Tomography

J. Wei, G. Li

4-D-computed tomography (4DCT) provides not only a new dimension of patient-specific information for radiation therapy planning and treatment, but also a challenging scale of data volume to process and analyze. Manual analysis using existing 3-D tools is unable to keep up with vastly increased 4-D data volume, automated processing and analysis are thus needed to process 4DCT data effectively and efficiently…

Authors

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J WeiJ Wei
Mr. Wei is currently an Associate Professor with the Department of Computer Science, City College of New York, New York, NY, USA. His research interests include multimodal computing, signal/image/video processing, computer vision, machine learning, and medical imaging.

G LiG Li
Mr. Li is currently an Assistant Attending Physicist with the Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. His research interests include multimodal image-guided radiotherapy and radiosurgery, motion management with 4-D imaging, and 4-D treatment planning.



Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning

D. Chakraborty, U. Maulik

Microarrays have now gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to novel algorithms for analyzing changes in expression profiles. In a micro-RNA (miRNA) or gene-expression profiling experiment…

Authors

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D ChakrabortyD Chakraborty
Mr. Chakraborty has a master’s degree in computer science and engineering from Bengal Engineering College, Howrah, India. He is currently an Associate Professor with the Department of Electronics and Communication Engineering at Murshidabad College of Engineering and Technology. His research interests include supervised and semisupervised learning, pattern classification, remote sensing, and bioinformatics.

U MaulikU Maulik
Dr. Maulik has been a professor with the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India, since 2004. He has co-authored seven books and over 250 research publications. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.

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Published Articles

Design, Fabrication and Experimental Validation of Novel Flexible Silicon-based Dry Sensors for Electroencephalography Signal Measurements

Y.H. Yu, S. W. Lu, L. D. Liao, C. T. Lin

Many electroencephalography (EEG) sensors, including conventional wet and dry sensors, use materials that can cause skin irritation and discomfort. To overcome this drawback, this study reports on the design and human testing of a SGS-certified, silicon-based dry-contact EEG sensor. In addition to being non-irritating, the acicular sensors are lightweight, flexible, and capable of easily fitting to the scalp…

Authors

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YH YuYH Yu
Mr. Yu is pursuing a Ph.D. degree from the Institute of Electrical Control Engineering and Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan. His research interests include brain research, biomedical signal processing, brain–computer interfaces and biomedical circuits and systems.

SW LuSW Lu
Mr. Lu is currently an Assistant Researcher with the Brain Research Center, National Chiao-Tung University, Hsinchu, where he is involved in electro-neurophysiology and biomedical signal processing.

LD LiaoLD Liao
Dr. Liao is a Senior Research Scientist and head of the Neurovascular Imaging Laboratory in Singapore Institute for Neurotechnology (SINAPSE) at National University of Singapore. His research interests include neuroimaging, cerebral neuroscience, cognitive neuroscience, in vivo optical microscopy, advanced sensing techniques and design of optical system.

CT LinCT Lin
Dr. Lin is the Provost, Chair Professor of Electrical and Computer Engineering, Professor of the Institute of Imaging and Biomedical Photonics, and Director of Brain Research Center at NCTU. Currently, he is the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems.

Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar

Y. S. Lee, P. N. Pathirana, C. L. Steinfort, T. Caelli

Non-contact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations such as physical sensor attachment or special clothing which can be useful for certain healthcare applications. Furthermore, robustness of Doppler radar against environmental factors such as light, ambient temperature, interference from other signals…

Authors

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YS LeeYS Lee
Mr. Lee is currently pursuing his Ph.D. degree at Deakin University, Australia. His research interests include biomedical applications & signals processing, sensors networks and radar signal processing.

P PathiranaP Pathirana
Dr. Pathirana is currently an Associate Professor with the School of Engineering, Deakin University, Geelong, Australia. His current research interests include mobile/wireless networks, rehabilitation robotics, and radar array signal processing.

C Steinfort
Mr. Steinfort is a Respiratory and Sleep Physician with Barwon Health, Geelong, Australia. He is the director of the Geelong respiratory function and sleep medicine laboratory, and has been a member of numerous societies including British, American, Australian and New Zealand Thoracic Societies.

T CaelliT Caelli
Dr. Caelli is a Senior Principal Researcher at National ICT Australias (NICTA) and part of the
Control and Signal Processing Research Group. His expertise lies in human and machine signal processing, Computer Vision and Pattern Recognition. He is also a Fellow of the International Association for Pattern Recognition (FIAPR) and a Fellow of the Institute for Electronic and Electrical Engineers (FIEEE).

Automatic Detection and Classification of Unsafe Events during Power Wheelchair Use

J. Pineau, A. Moghaddam, H. K. Yuen, P. Archambault, F. Routhier, F. Michaud, P. Boissy

Using a powered wheelchair (PW) is a complex task requiring advanced perceptual and motor control skills. PW incidents and accidents are not uncommon and their consequences can be serious. The objective of our research is to develop technological tools that can be used to characterize a wheelchair user’s driving behavior under various settings…

Authors

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J PineauJ Pineau
Dr. Pineau is an Associate Professor at the School of Computer Science at McGill University and member of the Centre for Intelligent Machines (CIM). Her research focuses on developing models and algorithms for learning and decision-making in partially observable stochastic domains, and applying these results to complex problems in robotics and health-care.

A MoghaddamA Moghaddam
Ms. Moghaddam received a B.Sc. In Computer Engineering from University of Tehran, Iran. In 2013, she completed her M.Sc. in Computer Science at McGill University, Canada. Since then, she has been with Facebook Inc., United States, where she is currently a software engineer in Pages Growth and Monetization.

HK YuenHK Yuen
Mr. Yuen received a Bachelor’s degree in Actuarial Analysis from the Chinese University of Hong Kong in 2008. He is currently a Master’s candidate in the Reasoning and Learning Lab from the Computer Science department at McGill University.

P ArchambaultP Archambault
Dr. Archambault is an Associate Professor at the School of Physical and Occupational Therapy, McGill University, Canada. His research interests include power wheelchair mobility, assistive technology, virtual reality and rehabilitation. He is a member of RESNA and SfN.

F RouthierF Routhier
Mr. Routhier is a researcher at the Centre for Interdisciplinary Research in Rehabilitation and Social Intergration (CIRRIS) at Quebec City Rehabilitation Institute and an Associate Professor at Université Laval (Department of Rehabilitation), Québec, Canada. His research interests include wheeled mobility, wheelchair skills, social participation, activity measurement, and assistive devices impacts.

F MichaudF Michaud
Dr. Michaud is a faculty member in the Department of Electrical Engineering and Computer Engineering of the Université de Sherbrooke, and founded IntRoLab, a research laboratory working on designing intelligent autonomous systems that can assist humans in living environments. His research interests are in architectural methodologies for intelligent decision-making and design of interactive autonomous mobile robots.

P BoissyP Boissy
Dr. Boissy has appointments as associate professor at the orthopaedic service, department of surgery and as Senior research scholar FRQS, Research Centre on Aging & Interdisciplinary Institute of Technological Innovation at Université de Sherbrooke. His research is focused on activity monitoring using wearable sensors and their use in clinical and telehealth applications.

The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera

H. Liu, Y. Wang, L. Wang

Cameras embedded in consumer devices have previously been used as physiological information sensors. The waveform of the PPGi signals may be significantly affected by the light spectra and intensity. The purpose of this paper is to evaluate the performance of PPGi waveform acquisition in the red, green, and blue channels using a commercial camera in different light conditions…

Authors

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A Bayesian Algorithm for Anxiety Index Prediction Based on Cerebral Blood Oxygenation in the Prefrontal Cortex Measured by Near Infrared Spectroscopy

Y. Fukuda, Y. Ida, T. Matsumoto, N. Takemura, K. Sakatani

Stress-induced psychological and somatic diseases are virtually endemic nowadays. Written self-report anxiety measures are available; however, these indices tend to be time consuming to acquire. For medical patients, completing written reports can be burdensome if they are weak, in pain, or in acute anxiety states. Consequently, simple and fast non-invasive methods for assessing stress response from neurophysiological data…

Authors

See complete bios of the authors in the full version of this article.

Y FukudaY Fukuda
Mr. Fukuda received a B.E. degree from the Department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan, and is currently pursuing an M.S. degree at the same institution. His current research interests include Bayesian machine learning for prediction problems with Monte Carlo implementations, using Near Infrared Spectroscopy data.

Y IdaY Ida
Mr. Ida received a B.E. degree from the Department of Electrical Engineering and Bioscience, Waseda University, Tokyo, Japan, and is currently pursuing an M.S. degree at the same institution. His current research interests include sentiment analysis and relational model by Bayesian method. He is working on handling relational data with side-information via Bayesian model.

T MatsumotoT Matsumoto
Dr. Matsumoto is a professor in the Faculty of Advanced Science and Engineering, Waseda University. He has had visiting positions at U.C. Berkeley and Cambridge University, U.K. His research interests are Bayesian machine learning with Monte Carlo implementations and Bootstrap method, with target data including biological data, image data, and time series data. He also has interests in non-parametric priors for Bayesian learning.

N TakemuraN Takemura
Mr. Takemura received a B.Sc. degree in engineering in 2003 and a M.Sc. degree in Informatics in 2005, from Kyoto University, Japan. He is currently a researcher in College of Engineering, Nihon University, Japan. His research interests include neuroscience and biomedical engineering.

K SakataniK Sakatani
Dr. Sakatani is a Professor at Nihon University College of Engineering and School of Medicine. He is also a Board-certified Neurosurgeon in Japan. His research interests include biomedical engineering, optical engineering, neuroimaging, and neuroscience.

Current and Future Challenges in Point-of-Care Technologies: A Paradigm-Shift in Affordable Global Healthcare with Personalized and Preventive Medicine

A.P. Dhawan, W.J. Heetderks, M. Pavel, S. Acharya, M. Akay, A. Mairal, B. Wheeler, C.C. Dacso, T. Sunder, N. Lovell, M. Gerber, M. Shah, S.G. Senthilvel, M.D. Wang, B. Bhargava

Pre-Publication POCHT 2013 White Paper
This paper summarizes the panel discussion at the IEEE Engineering in Medicine and Biology Point of Care Healthcare Technology Conference (POCHT 2013) held in Bangalore India from Jan 16-18, 2013. Modern medicine has witnessed interdisciplinary technology innovations in healthcare with a continuous growth in life expectancy across the globe. However, there is also a growing global concern on the affordability of rapidly rising healthcare costs…

Authors

Complete bios of the authors will be on Xplore

A DharwanA Dhawan
Dr. Dhawan. obtained his bachelor’s and master’s degrees from the Indian Institute of Technology, Roorkee, and his Ph.D. from the University of Manitoba. His research interests lie in medical imaging, medical image analysis, point-of-care technologies, pattern recognition and computer-aided-diagnosis.

W HeetderksW Heetderks
Dr. Heetderks received the Ph.D. degree in Bioengineering from The University of Michigan. He received the MD degree from the University of Miami and is certified in Internal Medicine. Before joining NIBIB he was at the National Institute of Neurological Disorders and Stroke where he directed the neural prosthesis program.

M PavelM Pavel
Dr. Pavel is the Program Director of Smart Health and Wellbeing at the National Science Foundation. His current research is at the intersection of computational modeling of complex behaviors of biological systems, engineering, and cognitive science with a focus on information fusion, pattern recognition, augmented cognition, and the development of multimodal and perceptual human-computer interfaces.

S AcharyaS Acharya
Dr. Acharya was the chief architect of a new and innovative graduate program in bioengineering innovation and design that has attracted top engineering students, outside funding, and numerous awards. He also runs a program in global medical technology innovation, which focuses on developing appropriate healthcare technologies for resource-restrained customers globally.

M AkayM Akay
Dr. Akay is the founding chair of the Biomedical Engineering Department and the John S. Dunn professor of biomedical engineering at the University of Houston. He currently serves on the advisory board of several international journals and on several NIH and NSF review panels.

A MairalA Mairal
Dr. Mairal is the Director, Global Exchange Programs, Stanford University. He is a Co-founder and Executive Vice President of Orbees Medical, a consulting firm serving medical device industry in the U.S., Europe, and Asia. He serves on the boards of several for-profit and non-profit organizations and is a Charter Member at EPPIC.

B WheelerB Wheeler
Prof. Wheeler’s research interests lie in the application of electrical engineering methodologies to neuroscience. His work influenced the development of neural spike sorting technologies, demonstrated that microelectrode array recording from brain slices was possible and productive, and has been a leader in the development of lithography to control cells, especially neurons, in culture.

C DacsoC Dacso
Dr. Dacso holds degrees from the University of Pennsylvania (BA, MA 1972), Baylor College of Medicine (MD 1975), University of Texas (MPH, 1980) and Pepperdine University (MBA 1990). Dr. Dacso’s research and development focuses on new technologies that integrate information and support for patients with chronic disease, particularly in under-resourced communities. Current work includes remote patient monitoring systems for congestive heart failure, asthma, exercise, and diabetes.

T SunderT Sunder
Dr. Sunder is a Senior Consultant and Cardiothoracic and Transplant Surgeon at the Apollo Group of Hospitals, Chennai. He is interested in predictive health analysis and pattern recognition and is involved in updating the electronic medical records and hospital information systems at Apollo Hospitals, Chennai.

N LovellN Lovell
Prof. Lovell is currently at the Graduate School of Biomedical Engineering UNSW where he holds a position of Scientia Professor. His research work has covered areas of expertise ranging from cardiac modeling, telehealth technologies, biological signal processing, and visual prosthesis design.

M GerberM Gerber
Mr. Gerber is the Senior R&D director for Medtronic India. He is the Core Team Leader (program general manager) for complex neurostimulation systems and new therapy development. His specialties include strategy development, program management, therapy and product development, merging science and business, general management, intellectual property and strategic problem solving.

M ShahM Shah
Mr. Shah is the Vice President, South Asia and Managing Director, India Medtronic. He joined Medtronic as the Managing Director of India Medtronic in October, 2004. Mr. Shah has over 28 years’ experience in leadership, sales & marketing and corporate planning positions in Healthcare, Specialty Chemicals, Telecommunications and Petrochemicals.

S SenthilvelS Senthilvel
Dr. Senthilvel is Subject Matter Expert and Industry Solutions Leader, Healthcare and Public Sector, IBM India. He serves as a member of the industry experts panel in defining curriculum and conducting train-the-trainer programs in healthcare and bio-informatics and pharmaceutical biotechnology at various Indian engineering universities.

M WangM Wang
Dr. Wang is a tenured associate professor in The Wallace H. Coulter Joint Department of Biomedical Engineering Department at Georgia Institute of Technology and Emory University. Dr. Wang’s research interest is biomedical and health informatics such as clinical biomarker identification using –omic and next generation sequencing; molecular imaging informatics; therapeutics modeling for nanomedicine; and data analytics of personal health record for prevention.

B BhargavaB Bhargava
Dr. Bhargava is one of the foremost leaders in biomedical innovation, public health, medical education and medical research in India. He is currently developing the Chest Compression Device for Sudden Cardiac Death patients, funded by the Wellcome Trust. He is also providing leadership for a creative disease prevention, early detection and transport system for sick cardiac patients.

Scope Statement

We focus on innovative solutions to healthcare needs from biomedical engineering, clinical engineering, and medical communities that bridge the engineering and clinical worlds. JTEHM's unique scope is original work at the intersection of engineering and clinical translation.

The journal’s focus is interdisciplinary collaborations among researchers, healthcare providers, and industry. We publish results and best practices from these translational efforts and serve as a community hub for researchers, clinicians, and developers who are addressing challenges in technology development, commercialization, and deployment for better global healthcare. Our ultimate goal is to improve the practice of engineering in translational medicine and to serve as a focal point for the nascent community. Our interactive content includes video, lively commentary, blogs, and other features to engage our clinical and engineering communities.