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IEEE Journal of Translational Engineering in Health and Medicine

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https://read.qxmd.com/read/30867999/transcranial-impedance-changes-during-sleep-a-rheoencephalography-study
#1
Amir H Meghdadi, Djordje Popovic, Gregory Rupp, Stephanie Smith, Chris Berka, Ajay Verma
OBJECTIVE: To demonstrate the utility of rheoencephalography (REG) for measuring cerebral blood flow and fluid dynamics during different stages of sleep. METHODS: Anteroposterior cranial electrical impedance was measured with concurrent polysomnography in a group of healthy subjects during sleep. Transcranial electrical impedance was characterized by measuring the peak-to-trough and envelope of the filtered pulsative REG signal as well as its frequency. The sensitivity of the REG amplitude to changes in cerebral blood flow (CBF) was confirmed by the analysis of the signal during breathing maneuvers with known effects on CBF...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30800535/identification-of-developmental-delay-in-infants-using-wearable-sensors-full-day-leg-movement-statistical-feature-analysis
#2
Mohammad Saeed Abrishami, Luciano Nocera, Melissa Mert, Ivan A Trujillo-Priego, Sanjay Purushotham, Cyrus Shahabi, Beth A Smith
This paper examines how features extracted from full-day data recorded by wearable sensors are able to differentiate between infants with typical development and those with or at risk for developmental delays. Wearable sensors were used to collect full-day (8-13 h) leg movement data from infants with typical development ([Formula: see text]) and infants at risk for developmental delay ([Formula: see text]). At 24 months, at-risk infants were assessed as having good ([Formula: see text]) or poor ([Formula: see text]) developmental outcomes...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30800534/improving-detection-of-rapid-cystic-fibrosis-disease-progression-early-translation-of-a-predictive-algorithm-into-a-point-of-care-tool
#3
Rhonda D Szczesniak, Cole Brokamp, Weiji Su, Gary L Mcphail, John Pestian, John P Clancy
The clinical course of cystic fibrosis (CF) lung disease is marked by acute drops of lung function, defined clinically as rapid decline. As such, lung function is monitored routinely through pulmonary function testing, producing hundreds of measurements over the lifespan of an individual patient. Point-of-care technologies aimed at improving detection of rapid decline have been limited. Our aim in this early translational study is to develop and translate a predictive algorithm into a prototype prognostic tool for improved detection of rapid decline...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30792942/in-bed-pose-estimation-deep-learning-with-shallow-dataset
#4
Shuangjun Liu, Yu Yin, Sarah Ostadabbas
This paper presents a robust human posture and body parts detection method under a specific application scenario known as in-bed pose estimation. Although the human pose estimation for various computer vision (CV) applications has been studied extensively in the last few decades, the in-bed pose estimation using camera-based vision methods has been ignored by the CV community because it is assumed to be identical to the general purpose pose estimation problems. However, the in-bed pose estimation has its own specialized aspects and comes with specific challenges, including the notable differences in lighting conditions throughout the day and having pose distribution different from the common human surveillance viewpoint...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30701146/pre-clinical-translation-of-second-harmonic-microscopy-of-meniscal-and-articular-cartilage-using-a-prototype-nonlinear-microendoscope
#5
Stephen J Baskey, Marco Andreana, Eric Lanteigne, Andrew Ridsdale, Albert Stolow, Mark E Schweitzer
Previous studies using nonlinear microscopy have demonstrated that osteoarthritis (OA) is characterized by the gradual replacement of Type II collagen with Type I collagen. The objective of this study was to develop a prototype nonlinear laser scanning microendoscope capable of resolving the structural differences of collagen in various orthopaedically relevant cartilaginous surfaces. The current prototype developed a miniaturized femtosecond laser scanning instrument, mounted on an articulated positioning system, capable of both conventional arthroscopy and second-harmonic laser-scanning microscopy...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30701145/high-resolution-cervical-auscultation-signal-features-reflect-vertical-and-horizontal-displacements-of-the-hyoid-bone-during-swallowing
#6
Cedrine Rebrion, Zhenwei Zhang, Yassin Khalifa, Mona Ramadan, Atsuko Kurosu, James L Coyle, Subashan Perera, Ervin Sejdic
Millions of people across the globe suffer from swallowing difficulties, known as dysphagia, which can lead to malnutrition, pneumonia, and even death. Swallowing cervical auscultation, which has been suggested as a noninvasive screening method for dysphagia, has not been associated yet with any physical events. In this paper, we have compared the hyoid bone displacement extracted from the videofluoroscopy images of 31 swallows to the signal features extracted from the cervical auscultation recordings captured with a tri-axial accelerometer and a microphone...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30680253/emg-pattern-recognition-control-of-the-deka-arm-impact-on-user-ratings-of-satisfaction-and-usability
#7
Linda Resnik, Frantzy Acluche, Matt Borgia, Gail Latlief, Sam Phillips
The DEKA Arm has multiple degrees of freedom which historically have been operated primarily by inertial measurement units (IMUs). However, the IMUs are not appropriate for all potential users; new control methods are needed. The purposes of this study were: 1) to describe usability and satisfaction of two controls methods-IMU and myoelectric pattern recognition (EMG-PR) controls-and 2) to compare ratings by control and amputation level. A total of 36 subjects with transradial (TR) or transhumeral (TH) amputation participated in the study...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30680252/laryngeal-pressure-estimation-with-a-recurrent-neural-network
#8
Pablo Gomez, Anne Schutzenberger, Marion Semmler, Michael Dollinger
Quantifying the physical parameters of voice production is essential for understanding the process of phonation and can aid in voice research and diagnosis. As an alternative to invasive measurements, they can be estimated by formulating an inverse problem using a numerical forward model. However, high-fidelity numerical models are often computationally too expensive for this. This paper presents a novel approach to train a long short-term memory network to estimate the subglottal pressure in the larynx at massively reduced computational cost using solely synthetic training data...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30588412/patient-centered-communication-and-e-health-information-exchange-patterns-findings-from-a-national-cross-sectional-survey
#9
Onur Asan, Bradley Crotty, Sneha Nagavally, Leonard E Egede
This paper aimed to determine whether there was a connection between patient's perception of communication with their doctors in the visit and their use of online health information exchange using a nationally representative survey. We used the data from the Health Information National Trends survey pooled HINTS4 Cycle 4 data and assessed outcomes using logistic regression modeling composite communication scores as a continuous variable. We weighted participants to create population-level estimates. We adjusted for age, gender, race, and census region...
2019: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30546972/an-ai-based-heart-failure-treatment-adviser-system
#10
Zhuo Chen, Elmer Salazar, Kyle Marple, Sandeep R Das, Alpesh Amin, Daniel Cheeran, Lakshman S Tamil, Gopal Gupta
Management of heart failure is a major health care challenge. Healthcare providers are expected to use best practices described in clinical practice guidelines, which typically consist of a long series of complex rules. For heart failure management, the relevant guidelines are nearly 80 pages long. Due to their complexity, the guidelines are often difficult to fully comply with, which can result in suboptimal medical practices. In this paper, we describe a heart failure treatment adviser system that automates the entire set of rules in the guidelines for heart failure management...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30546971/intuitive-clinician-control-interface-for-a-powered-knee-ankle-prosthesis-a-case-study
#11
David Quintero, Emma Reznick, Daniel J Lambert, Siavash Rezazadeh, Leslie Gray, Robert D Gregg
This paper presents a potential solution to the challenge of configuring powered knee-ankle prostheses in a clinical setting. Typically, powered prostheses use impedance-based control schemes that contain several independent controllers which correspond to consecutive periods along the gait cycle. This control strategy has numerous control parameters and switching rules that are generally tuned by researchers or technicians and not by a certified prosthetist. We propose an intuitive clinician control interface (CCI) in which clinicians tune a powered knee-ankle prosthesis based on a virtual constraint control scheme, which tracks desired periodic joint trajectories based on a continuous measurement of the phase (or progression) of gait...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30533323/reaction-time-predicts-brain-computer-interface-aptitude
#12
Sam Darvishi, Alireza Gharabaghi, Michael C Ridding, Derek Abbott, Mathias Baumert
There is evidence that 15-30% of the general population cannot effectively operate brain-computer interfaces (BCIs). Thus the BCI performance predictors are critically required to pre-screen participants. Current neurophysiological and psychological tests either require complicated equipment or suffer from subjectivity. Thus, a simple and objective BCI performance predictor is desirable. Neurofeedback (NFB) training involves performing a cognitive task (motor imagery) instructed via sensory stimuli and re-adjusted through ongoing real-time feedback...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30519516/closed-loop-intravenous-drug-administration-using-photoplethysmography
#13
George W Carpenter, Holly G Myers, Eric A Sherer, Katie A Evans, D Patrick O'Neal
An optically-based injection control system has been developed for preclinical use for an intravenous drug delivery application. Current clinical drug delivery for oncology typically provides for intravenous administration without an awareness of achieved plasma concentration, yet interpatient variability produces consequences ranging from toxicity to ineffectual treatments. We report a closed-loop injection system integrating a pulse-photoplethysmograph to measure the concentration of an injected agent in the circulating blood system using a previously described technique...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30519515/stroke-patients-acceptance-of-a-smart-garment-for-supporting-upper-extremity-rehabilitation
#14
Qi Wang, Annick Timmermans, Wei Chen, Jie Jia, Li Ding, Li Xiong, Jifeng Rong, Panos Markopoulos
The objective is to evaluate to which extent that Zishi a garment equipped with sensors that can support posture monitoring can be used in upper extremity rehabilitation training of stroke patients. Seventeen stroke survivors (mean age: 55 years old, SD =13.5) were recruited in three hospitals in Shanghai. Patients performed 4 tasks (analytical shoulder flexion, functional shoulder flexion placing a cooking pot, analytical flexion in the scapular plane, and functional flexion in the scapular plane placing a bottle of water) with guided feedback on a tablet that was provided through inertial sensors embedded in the Zishi system at the scapula and the thoracic spine region...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30483453/patient-specific-pose-estimation-in-clinical-environments
#15
Kenny Chen, Paolo Gabriel, Abdulwahab Alasfour, Chenghao Gong, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Patricia Dugan, Lucia Melloni, Thomas Thesen, David Gonda, Shifteh Sattar, Sonya Wang, Vikash Gilja
Reliable posture labels in hospital environments can augment research studies on neural correlates to natural behaviors and clinical applications that monitor patient activity. However, many existing pose estimation frameworks are not calibrated for these unpredictable settings. In this paper, we propose a semi-automated approach for improving upper-body pose estimation in noisy clinical environments, whereby we adapt and build around an existing joint tracking framework to improve its robustness to environmental uncertainties...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30464863/virtual-neonatal-echocardiographic-training-system-vnets-an-echocardiographic-simulator-for-training-basic-transthoracic-echocardiography-skills-in-neonates-and-infants
#16
Bijan Siassi, Mahmood Ebrahimi, Shahab Noori, Shuyang Sheng, Debjit Ghosh, Istvan Seri
There is a great need for training in pediatric echocardiography. In addition to physicians being trained in pediatric cardiology and echocardiography technologists, neonatologist, pediatric intensivists, and other health care professionals may be interested in such training. Since, there is limited opportunity of training on live patients, echocardiographic simulators may be of help. No simulator with complete range of echocardiographic modalities is available for neonates and infants. The aim of this project was to develop a mannequin-based echocardiographic simulator capable of simulating full range of pediatric 2D, color flow Doppler, spectral Doppler, and M-mode echocardiograms...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30464862/an-initial-investigation-of-unmanned-aircraft-systems-uas-and-real-time-organ-status-measurement-for-transporting-human-organs
#17
Joseph R Scalea, Stephen Restaino, Matthew Scassero, Gil Blankenship, Stephen T Bartlett, Norman Wereley
Organ transportation has yet to be substantially innovated. If organs could be moved by drone, instead of ill-timed commercial aircraft or expensive charter flights, lifesaving organs could be transplanted more quickly. A modified, six-rotor UAS was used to model situations relevant to organ transportation. To monitor the organ, we developed novel technologies that provided the real-time organ status using a wireless biosensor combined with an organ global positioning system. Fourteen drone organ missions were performed...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30464861/sleep-apnea-syndrome-sensing-at-c-band
#18
Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Fangming Hu, Weigang Wang, Masood Ur Rehman, Jie Tian
A non-intrusive sleep apnea detection system using a C-Band channel sensing technique is proposed to monitor sleep apnea syndrome in real time. The system utilizes perturbations of RF signals to differentiate between patient's breathing under normal and sleep apnea conditions. The peak distance calculation is used to obtain the respiratory rates. A comparison of the datasets generated by the proposed method and a wearable sensor is made using a concordance correlation coefficient to establish its accuracy. The results show that the proposed sensing technique exhibits high accuracy and robustness, with more than 80% concordance with the wearable breathing sensor...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30456001/kinect-based-in-home-exercise-system-for-lymphatic-health-and-lymphedema-intervention
#19
An-Ti Chiang, Qi Chen, Yao Wang, Mei R Fu
Using Kinect sensors to monitor and provide feedback to patients performing intervention or rehabilitation exercises is an upcoming trend in healthcare. However, the joint positions measured by the Kinect sensor are often unreliable, especially for joints that are occluded by other parts of the body. Also, users' motion sequences differ significantly even when doing the same exercise and are not temporally aligned, making the evaluation of the correctness of their movement challenging. This paper aims to develop a Kinect-based intervention system, which can guide the users to perform the exercises more effectively...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://read.qxmd.com/read/30456000/robust-and-accurate-capture-of-human-joint-pose-using-an-inertial-sensor
#20
Pubudu N Pathirana, M Sajeewani Karunarathne, Gareth L Williams, Phan T Nam, Hugh Durrant-Whyte
Wearable inertial measurement units (IMU) measuring acceleration, earth magnetic field, and gyroscopic measurements can be considered for capturing human skeletal postures in real time. Number of movement disorders require accurate and robust estimation of the human joint pose. Though these movements are inherently slow, the accuracy of estimation is vital as many subtle moment patterns, such as tremor are useful to capture under many assessments scenarios. Also, as the end user is a patient with movement disabilities, the practical wearability aspects impose stringent requirements such as the use of minimal number of sensors as well as positioning them in conformable areas of the human body; particularly for longer term monitoring...
2018: IEEE Journal of Translational Engineering in Health and Medicine
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