EMBS

Published Articles

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…

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…

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…

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…

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.