Articles and Recent News
Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection
To more accurately trigger cardiac computed tomography angiography (CTA) than electrocardiography (ECG) alone, a sub-system is proposed as an intermediate step toward fusing ECG with seismocardiography (SCG). Accurate prediction of quiescent phases is crucial to prospectively gating CTA, which is susceptible to cardiac motion and thus can affect the diagnostic quality of images. The key innovation of this sub-system is that it identifies the SCG waveform corresponding to heart sounds and determines their phases within the cardiac cycles.
A New Wavelet-Based ECG Delineator for the Evaluation of the Ventricular Innervation
T-wave amplitude (TWA) has been proposed as a marker of the innervation of the myocardium. Until now, TWA has been calculated manually or with poor algorithms, thus making its use not efficient in a clinical environment. We introduce a new wavelet-based algorithm for the delineation QRS complexes and T-waves, and the automatic calculation of TWA. When validated in the MIT/BIH Arrhythmia database, the QRS detector achieved sensitivity and positive predictive value of 99.84% and 99.87% respectively.
Translational Engineering in Health and Medicine: A Glimpse into the Student’s Point of View
Student Editor Paper
Students take a vital part in the effort to translate engineering-based research in medicine. It is therefore essential to understand their view of the field, the motivation in choosing a specific research path, and the factors influencing pursuing an academic vs. an industry-related career. To provide a glimpse into the students’ point of view and gain key insights, we have conducted a survey among translational engineering in medicine students.
Automatic Sleep Monitoring Using Ear-EEG
The monitoring of sleep patterns without patient’s inconvenience or involvement of a medical specialist is a clinical question of significant importance. To this end, we propose an automatic sleep stage monitoring system based on an affordable, unobtrusive, discreet, and long-term wearable in-ear sensor for recording the electroencephalogram (ear-EEG). The selected features for sleep pattern classification from a single ear-EEG channel include the spectral edge frequency and multi-scale fuzzy entropy, a structural complexity feature. In this preliminary study, the manually scored hypnograms from simultaneous scalp-EEG and ear-EEG recordings of four subjects are used as labels for two analysis scenarios.
NIH to Publish a Funding Opportunity Announcement for Point of Care Technologies Research Network Centers
The National Institutes of Health intends to publish a solicitation for the Point-of-Care Technologies Research Network (POCTRN), targeting POCTRN Research Centers in August 2017.
Wearable Improved Vision System for Color Vision Deficiency Correction
Color vision deficiency (CVD) is an extremely frequent vision impairment that compromises the ability to recognize colors. In order to improve color vision in a subject with CVD, we designed and developed a wearable improved vision system based on an augmented reality device. The system was validated in a clinical pilot study on 24 subjects with CVD (18 males and 6 females, aged 37.4 ± 14.2 years).