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IEEE Journal of Translational Engineering in Health and Medicine

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https://www.readbyqxmd.com/read/29404227/a-knowledge-based-approach-to-automatic-detection-of-equipment-alarm-sounds-in-a-neonatal-intensive-care-unit-environment
#1
Ganna Raboshchuk, Climent Nadeu, Peter Jancovic, Alex Peiro Lilja, Munevver Kokuer, Blanca Munoz Mahamud, Ana Riverola De Veciana
A large number of alarm sounds triggered by biomedical equipment occur frequently in the noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing healthcare. In this paper, our work on the development of an automatic system for detection of acoustic alarms in that difficult environment is presented. Such automatic detection system is needed for the investigation of how a preterm infant reacts to auditory stimuli of the NICU environment and for an improved real-time patient monitoring...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29404226/automatic-detection-of-compensation-during-robotic-stroke-rehabilitation-therapy
#2
Ying Xuan Zhi, Michelle Lukasik, Michael H Li, Elham Dolatabadi, Rosalie H Wang, Babak Taati
Robotic stroke rehabilitation therapy can greatly increase the efficiency of therapy delivery. However, when left unsupervised, users often compensate for limitations in affected muscles and joints by recruiting unaffected muscles and joints, leading to undesirable rehabilitation outcomes. This paper aims to develop a computer vision system that augments robotic stroke rehabilitation therapy by automatically detecting such compensatory motions. Nine stroke survivors and ten healthy adults participated in this study...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29333352/smartphone-based-point-of-care-urinalysis-under-variable-illumination
#3
Moonsoo Ra, Mannan Saeed Muhammad, Chiawei Lim, Sehui Han, Chansung Jung, Whoi-Yul Kim
Urine tests are performed by using an off-the-shelf reference sheet to compare the color of test strips. However, the tabular representation is difficult to use and more prone to visual errors, especially when the reference color-swatches to be compared are spatially apart. Thus, making it is difficult to distinguish between the subtle differences of shades on the reagent pads. This manuscript represents a new arrangement of reference arrays for urine test strips (urinalysis). Reference color swatches are grouped in a doughnut chart, surrounding each reagent pad on the strip...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29296547/electromechanically-actuated-multifunctional-wireless-auxetic-device-for-wound-management
#4
Mariam Mir, Umar Ansari, Murtaza Najabat Ali, Muhammad Hassan Ul Iftikhar, Faisal Qayyum
The design and fabrication of a wound healing device for chronic wounds, with multiple functions for controlled drug delivery and exudate removal, has been described in this paper. The structural features have been machined and modified through laser cutting in a biocompatible polymer cast. Miniaturized versions of electronically actuated (lead-screw and pulley) mechanisms are used for the specific purpose of controlled drug delivery. These mechanisms have been studied and tested, being controlled through a microcontroller setup...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29285420/development-of-a-non-invasive-blink-reflexometer
#5
Nancey Trevanian Tsai, Jesse S Goodwin, Mark E Semler, Ronald T Kothera, Mark Van Horn, Bethany J Wolf, Dena P Garner
Qualitative assessments of the blink reflex are used clinically to assess neurological status in critical care, operating room, and rehabilitative settings. Despite decades of literature supporting the use of quantitative measurements of the blink reflex in the evaluation of multiple neurological disorders, clinical adoption has failed. Thus, there remains an unmet clinical need for an objective, portable, non-invasive metric of neurological health that can be used in a variety of settings. We have developed a high-speed videography-based device to trigger, record, and analyze a blink reflex...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29285419/developing-a-wireless-high-precision-and-processing-speed-pulse-monitoring-headset-using-photoplethysmography
#6
Yunhui Jiang, Jian Tang, Xiaoliang Wang, Chao Shen
In this paper, thorough improvement of pulse monitoring and analysis equipment with a headset structure is presented. In order to study the most suitable infrared wavelength for the acquisition of the pulse wave at the earlobe, Monte Carlo simulation was adapted. Both high frequency noise and baseline drift, generated in the signal acquisition process, are considered. To further optimize the system design and improve accuracy, for the sensor's dimensional drift, the corresponding compensation was carried on in the software...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29282435/efficient-cancer-detection-using-multiple-neural-networks
#7
John Shell, William D Gregory
The inspection of live excised tissue specimens to ascertain malignancy is a challenging task in dermatopathology and generally in histopathology. We introduce a portable desktop prototype device that provides highly accurate neural network classification of malignant and benign tissue. The handheld device collects 47 impedance data samples from 1 Hz to 32 MHz via tetrapolar blackened platinum electrodes. The data analysis was implemented with six different backpropagation neural networks (BNN). A data set consisting of 180 malignant and 180 benign breast tissue data files in an approved IRB study at the Aurora Medical Center, Milwaukee, WI, USA, were utilized as a neural network input...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29282434/the-inspired-sinewave-technique-a-comparison-study-with-body-plethysmography-in-healthy-volunteers
#8
Phi Anh Phan, Cathy Zhang, Daniel Geer, Federico Formenti, Clive E W Hahn, Andrew D Farmery
The inspired sinewave technique is a noninvasive method to measure airway dead space, functional residual capacity, pulmonary blood flow, and lung inhomogeneity simultaneously. The purpose of this paper was to assess the repeatability and accuracy of the current device prototype in measuring functional residual capacity, and also participant comfort when using such a device. To assess within-session repeatability, six sinewave measurements were taken over two-hour period in 17 healthy volunteers. To assess day-to-day repeatability, measurements were taken over 16 days in 3 volunteers...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29255654/evaluation-of-computer-based-target-achievement-tests-for-myoelectric-control
#9
Jacob Gusman, Enzo Mastinu, Max Ortiz-Catalan
Real-time evaluation of novel prosthetic control schemes is critical for translational research on artificial limbs. Recently, two computer-based, real-time evaluation tools, the target achievement control (TAC) test and the Fitts' law test (FLT), have been proposed to assess real-time controllability. Whereas TAC tests provides an anthropomorphic visual representation of the limb at the cost of confusing visual feedback, FLT clarifies the current and target locations by simplified non-anthropomorphic representations...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29255653/spectro-temporal-electrocardiogram-analysis-for-noise-robust-heart-rate-and-heart-rate-variability-measurement
#10
Diana P Tobon, Srinivasan Jayaraman, Tiago H Falk
The last few years has seen a proliferation of wearable electrocardiogram (ECG) devices in the market with applications in fitness tracking, patient monitoring, athletic performance assessment, stress and fatigue detection, and biometrics, to name a few. The majority of these applications rely on the computation of the heart rate (HR) and the so-called heart rate variability (HRV) index via time-, frequency-, or non-linear-domain approaches. Wearable/portable devices, however, are highly susceptible to artifacts, particularly those resultant from movement...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29204328/the-role-of-affordable-point-of-care-technologies-for-cancer-care-in-low-and-middle-income-countries-a-review-and-commentary
#11
Karen Haney, Pushpa Tandon, Rao Divi, Miguel R Ossandon, Houston Baker, Paul C Pearlman
As the burden of non-communicable diseases such as cancer continues to rise in low- and middle-income countries (LMICs), it is essential to identify and invest in promising solutions for cancer control and treatment. Point-of-care technologies (POCTs) have played critical roles in curbing infectious disease epidemics in both high- and low-income settings, and their successes can serve as a model for transforming cancer care in LMICs, where access to traditional clinical resources is often limited. The versatility, cost-effectiveness, and simplicity of POCTs warrant attention for their potential to revolutionize cancer detection, diagnosis, and treatment...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29204327/automated-assessment-of-dynamic-knee-valgus-and-risk-of-knee-injury-during-the-single-leg-squat
#12
Rezvan Kianifar, Alexander Lee, Sachin Raina, Dana Kulic
Many clinical assessment protocols of the lower limb rely on the evaluation of functional movement tests such as the single leg squat (SLS), which are often assessed visually. Visual assessment is subjective and depends on the experience of the clinician. In this paper, an inertial measurement unit (IMU)-based method for automated assessment of squat quality is proposed to provide clinicians with a quantitative measure of SLS performance. A set of three IMUs was used to estimate the joint angles, velocities, and accelerations of the squatting leg...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29164019/quantitative-analysis-of-electro-anatomical-maps-application-to-an-experimental-model-of-left-bundle-branch-block-cardiac-resynchronization-therapy
#13
David Soto Iglesias, Nicolas Duchateau, Constantine Butakoff Kostantyn Butakov, David Andreu, Juan Fernandez-Armenta, Bart Bijnens, Antonio Berruezo, Marta Sitges, Oscar Camara
Electro-anatomical maps (EAMs) are commonly acquired in clinical routine for guiding ablation therapies. They provide voltage and activation time information on a 3-D anatomical mesh representation, making them useful for analyzing the electrical activation patterns in specific pathologies. However, the variability between the different acquisitions and anatomies hampers the comparison between different maps. This paper presents two contributions for the analysis of electrical patterns in EAM data from biventricular surfaces of cardiac chambers...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29043113/simultaneous-tracking-of-cardiorespiratory-signals-for-multiple-persons-using-a-machine-vision-system-with-noise-artifact-removal
#14
Ali Al-Naji, Javaan Chahl
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 paper 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 the same time with a new method for noise artifact removal...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29026686/pain-prediction-from-ecg-in-vascular-surgery
#15
Tricia Adjei, Wilhelm Von Rosenberg, Valentin Goverdovsky, Katarzyna Powezka, Usman Jaffer, Danilo P Mandic
Varicose vein surgeries are routine outpatient procedures, which are often performed under local anaesthesia. The use of local anaesthesia both minimises the risk to patients and is cost effective, however, a number of patients still experience pain during surgery. Surgical teams must therefore decide to administer either a general or local anaesthetic based on their subjective qualitative assessment of patient anxiety and sensitivity to pain, without any means to objectively validate their decision. To this end, we develop a 3-D polynomial surface fit, of physiological metrics and numerical pain ratings from patients, in order to model the link between the modulation of cardiovascular responses and pain in varicose vein surgeries...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29021923/toward-a-personalized-real-time-diagnosis-in-neonatal-seizure-detection
#16
Andriy Temko, Achintya Kr Sarkar, Geraldine B Boylan, Sean Mathieson, William P Marnane, Gordon Lightbody
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. It is shown that an improvement in the detection of neonatal seizures over the course of long EEG recordings is achievable with on-the-fly incorporation of patient-specific EEG characteristics...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29021922/texture-feature-variability-in-ultrasound-video-of-the-atherosclerotic-carotid-plaque
#17
Christos P Loizou, Constantinos S Pattichis, Marios Pantziaris, Efthyvoulos Kyriacou, Andrew Nicolaides
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. The videos were intensity normalized and despeckled, and the intima-media complex (IMC) (from the N subjects) and the atherosclerotic carotid plaques (from the A and S subjects) were segmented from each video, in order to extract the M-mode image, and the texture features associated with cardiac states of systole and diastole...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29018640/a-multi-classifier-system-for-automatic-mitosis-detection-in-breast-histopathology-images-using-deep-belief-networks
#18
K Sabeena Beevi, Madhu S Nair, G R Bindu
Mitotic count is an important diagnostic factor in breast cancer grading and prognosis. Detection of mitosis in breast histopathology images is very challenging mainly due to diffused intensities along object boundary and shape variation in different stages of mitosis. This paper demonstrates an accurate technique for detecting the mitotic cells in Hematoxyline and Eosin stained images by step by step refinement of segmentation and classification stages. Krill Herd Algorithm-based localized active contour model precisely segments cell nuclei from background stroma...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29018639/managing-heart-failure-at-home-with-point-of-care-diagnostics
#19
Paul R Degregory, Jansen Tapia, Tammy Wong, Jo Villa, Ian Richards, Richard M Crooks
The objective of this paper 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. The electrochemical method is faster and eliminates the need for long-term storage of enzymes. Second, the antibody sandwich is formed on mobile magnetic beads...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29018638/automatic-sleep-monitoring-using-ear-eeg
#20
Takashi Nakamura, Valentin Goverdovsky, Mary J Morrell, Danilo P Mandic
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...
2017: IEEE Journal of Translational Engineering in Health and Medicine
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