Published Articles

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

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

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…

Engineering a High-Throughput 3D in vitro Glioblastoma Model

Y. Fan, N. G. Avci, D. T. Nguyen, A. Dragomir, Y. M. Akay, F. Xu, M. Akay

Glioblastoma multiforme (GBM) is the most common and malignant primary brain tumor in adults. The existing treatment for GBM, which involves a combination of resection, chemotherapy and radiotherapy, has a very limited success rate with a median survival rate of less than 1 year, mainly because of the failure of early detection and effective treatment. We present a novel 3D GBM cell culture model based on microwells that could mimic the in vivo environment and help to bypass the lack of suitable animal models for preclinical toxicity tests…

An Optokinetic Nystagmus Detection Method for Use with Young Children

M. Sangi, B. Thompson, J. Turuwhenua

The detection of vision problems in early childhood can prevent neuro-developmental disorders such as amblyopia. However, accurate clinical assessment of visual function in young children is challenging. Optokinetic Nystagmus is a reflexive sawtooth motion of the eye that occurs in response to drifting stimuli that may allow for objective measurement of visual function in young children if appropriate child-friendly eye tracking techniques…

An Integrated Model of Patient and Staff Satisfaction Using Queuing Theory

A. Komashie, A. Mousavi, P.J. Clarkson, T. Young

This paper investigates the connection between patient satisfaction, waiting time, staff satisfaction and service time. It uses a variety of models to enable improvement against experiential and operational health service goals. Patient satisfaction levels are estimated using a model based on waiting (waiting times)…

Principal Dynamic Mode Analysis of EEG Data for Assisting the Diagnosis of Alzheimer’s Disease

Y. Kang, J. Escudero, D. Shin, E. Ifeachor, V. Marmarelis

Alzheimer’s disease (AD) is currently the most common neurodegenerative disorder in the western world and in the future its incidence is expected to double every 20 years. Because a definitive diagnosis can only be made by autopsy and AD pathology could start years before the first symptoms, there is a need for objective, non-invasive and affordable means to support clinicians in the detection…

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…

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…

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…

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.