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COVID-19 Testing: What New Mexico Did Right
Leslie Mertz
Unlike many other states across America that have struggled to get enough diagnostic tests for coronavirus 2019 disease (COVID–19), New Mexico has not only met the demand for testing symptomatic patients, but is now expanding its screening to asymptomatic individuals.... Read more

The Great Exhale: Using Breath Analysis to Detect Disease
Leslie Mertz
Your breath gives away a lot of information. Besides betraying that you’ve had garlic or onions for lunch, it also contains volatile organic compounds (VOCs) that provide quite telling biomarkers of disease. Building on the potential capability of VOCs to detect illness, the U.K. company Owlstone Medical is now developing a testing platform called Breath Biopsy [1] as a noninvasive diagnostic method and is collaborating with clinicians, researchers, and other biomedical companies around the world on its potential application for early detection of various cancers, respiratory illnesses, and immune diseases... Read more
Posted on 29 JUN 2020
DNA-like Materials Could Open New Computing Frontiers
David L. Chandler
As computers have progressed over the last few decades, with their component transistors getting ever smaller and ever more numerous on a single chip, that relentless progress, famously described by Moore’s Law, has begun to bump up against fundamental physical limits to what can be done with the present etched-lines-on-silicon technology. But now, a new twist involving an inorganic molecule that has a DNA-like helical shape may provide an alternative pathway that could shrink transistors down to atom-sized scales. And even DNA molecules themselves might ultimately become the bits and bytes and logic gates of the future... Read more
Posted on 29 JUN 2020
Chips Hold the Key to Reproductive Health
Jim Banks
Female reproductive medicine may not have been entirely overlooked in the history of medical research, but it has never been given the attention that it deserves. There are signs, however, that the spotlight is turning toward the most essential of human processes... Read more
Posted on 29 JUN 2020
E-Textiles for Health Monitoring: Off to a Slow Start, but Coming Soon
Leslie Mertz
Smart technology is in cellphones, televisions, cars, and home appliances, but smart textiles haven’t inundated the market yet. While engineers have been developing new and interesting ways to marry electronics and fabrics for several years now, the average person isn’t wearing e-tights to audit vital signs during a workout, switching to electronically enhanced bed sheets to track sleep patterns, or adding smart base layers to the everyday wardrobe. If the technology is moving forward as rapidly as it appears to be, why aren’t e-textiles flooding the market?... Read more
Posted on 29 JUN 2020
The Rise of Biometrics in Sports
Mary Bates
Athletes—and the cadre of professionals who surround them—are always looking for an edge over their opponents. Advances in technology have now made a whole new class of information readily available to athletes, coaches, trainers, and even fans. It’s called biometrics, the science of measuring and analyzing data collected from the body, such as heart rate or hormone levels... Read more
Posted on 29 JUN 2020
Unmasked Behavior
Pamela Reynolds
After initial assertions that the wearing of face masks was an unnecessary public health tool in the prevention of the spread of Covid-19, the advice coming out of the Centers for Disease Control suddenly changed. In early April, the CDC... Read more
Posted on 29 JUN 2020

Journal Updates

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Journal of

Biomedical And Health Informatics

JUNE 2020
VOLUME 24
NUMBER 4
24
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The IEEE Journal of Biomedical and Health Informatics Volume 24 Issue 6 has been published.
IoT-enabled Dual-arm Motion Capture and Mapping for Telerobotics in Home Care
Huiying Zhou, Honghao Lv, Zhibo Pang, Xiaoyan Huang, Huayong Yang, Geng Yang
With the paradigm shift from hospital-centric healthcare to home-centric healthcare in Healthcare 4.0, healthcare robotics has become one of the fastest growing fields of robotics. The combination of robot capabilities with human intelligence, for example, telerobotics for home care, is... Read more
Posted on 2 JUN 2020
AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic
Download Call for Papers (PDF) On March 12th 2020, the World Health Organization (WHO) announces COVID-19 (COronaVIrus Disease 2019) outbreak as a pandemic. This global pandemic is caused by a new coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which... Read more
Posted on 7 APR 2020
IEEE Transactions on

Biomedical Engineering

JUNE 2020
VOLUME 67
NUMBER 6
IEBEAX
67
Get it on IEEExplore.org
The IEEE Transactions on Biomedical Engineering, Volume 67, Issue 6 has been published.
MRI Conditional Actively-Tracked Metallic Electrophysiology Catheters and Guidewires with Miniature Tethered Radio-Frequency Traps: Theory, Design and Validation
Akbar Alipour, Eric S. Meyer, Charles Dumoulin, Ronald Watkins, Hassan Elahi, Wolfgang Loew, Jeffrey Schweitzer, Gregory Olson, Yue Chen, Susumu Tau, Michael Guttman, Aravindan Kolandaivelu, Henry Halperin, Ehud Schmidt
Cardiovascular interventional devices typically have long metallic braids or backbones to aid in steerability and pushability. However, electromagnetic coupling of metallic-based cardiovascular interventional devices with the radiofrequency (RF) fields present during Magnetic Resonance Imaging (MRI) can make a device unsafe for use in an MRI scanner. We aimed to develop MRI conditional actively-tracked cardiovascular interventional devices by sufficiently attenuating induced currents on the metallic braid/tube and internal-cabling using miniaturized resonant floating RF traps (MBaluns). We provided electromagnetic simulation revealing MBalun critical dimensions, along with phantom heating and swine experiments that validate the designs... Read more
Posted on 29 MAY 2020
Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks
Joseph L. Betthauser, John T. Krall, Shain G. Bannowsky, Gyorgy Levay, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor
Movement prediction from EMG can be performed by compressing a short window of EMG into a feature-encoding that is meaningful for classification— an approach that can cause erratic prediction behavior. Temporal convolutional networks (TCN) leverage temporal information from EMG to achieve superior predictions for 3 simultaneous degrees-of-freedom that are more accurate and stable, have a very low response delay, and allow for novel types of interactive training. Addressing EMG decoding as a sequential prediction problem requires a new set of considerations that will lead to enhancements in the reliability, responsiveness, and movement complexity available from prosthesis control systems... Read more
Posted on 29 MAY 2020