Articles and Recent News
Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System with Noise Artifact Removal
Most existing non-contact monitoring systems are limited to detecting physiological signs from a single subject at a time. Still, another challenge facing these systems is that they are prone to noise artifacts resulting from motion of subjects, facial expressions, talking, skin tone and illumination variations. This study proposes an efficient non-contact system based on a digital camera to track the cardiorespiratory signal from a number of subjects (up to six persons) at same time with a new method for noise artefact removal…
Texture Feature Variability in Ultrasound Video of the Atherosclerotic Carotid Plaque
The objective of this paper was to investigate texture feature variability in ultrasound video of the carotid artery during the cardiac cycle in an attempt to define new discriminatory biomarkers of the vulnerable plaque. More specifically, in this paper, 120 longitudinal ultrasound videos, acquired from 40 normal (N) subjects from the common carotid artery and 40 asymptomatic (A) and 40 symptomatic (S) subjects from the proximal internal carotid artery were investigated…
Call for Papers: Special Issue on “Advanced Internet of Things in a Personalized Healthcare System: Validation, Analysis and Utilization”
Submission deadline extended to November 30, 2017.
Due to the exponential growth of wearable devices and mobile apps, healthcare as a field is being transformed by Internet of Things (IoT)-enabled technology. The traditional hubs of healthcare, such as hospitals and clinics, are being transformed into personalized healthcare systems–especially the mobile environment…
Detecting Dementia through Interactive Computer Avatars
This paper proposes a new approach to automatically detect dementia. Even though some works have detected dementia from speech and language attributes, most have applied detection using picture descriptions, narratives, and cognitive tasks. In this paper, we propose a new computer avatar with spoken dialog functionalities that produces spoken queries based on the mini-mental state examination, the Wechsler memory scale-revised, and other related neuropsychological questions.
Towards a Personalized Real-Time Diagnosis in Neonatal Seizure Detection
The problem of creating a personalized seizure detection algorithm for newborns is tackled in this paper. A probabilistic framework for semi-supervised adaptation of a generic patient-independent neonatal seizure detector is proposed. A system that is based on a combination of patient-adaptive (generative) and patient-independent (discriminative) classifiers is designed and evaluated on a large database of unedited continuous multichannel neonatal EEG recordings of over 800 h in duration…
Managing Heart Failure at Home with Point-of-Care Diagnostics
Part of the Special Issue NIH-IEEE POCT 2016
The objective of this study is development of an inexpensive point-of-care sensor for detecting the primary heart failure marker peptide, NT-proBNP. The device technology is based on an antibody sandwich assay, but with three innovative aspects. First, chemical amplification is carried out via oxidation of silver nanoparticles (NPs) attached to signaling antibodies rather than by enzymatic amplification…