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IEEE Journal of Translational Engineering in Health and Medicine

Jun Chen, Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, Shuo Li
Accurate segmentation of right ventricle (RV) from cardiac magnetic resonance (MR) images can help a doctor to robustly quantify the clinical indices including ejection fraction. In this paper, we develop one regression convolutional neural network (RegressionCNN) which combines a holistic regression model and a convolutional neural network (CNN) together to determine boundary points' coordinates of RV directly and simultaneously. In our approach, we take the fully connected layers of CNN as the holistic regression model to perform RV segmentation, and the feature maps extracted by convolutional layers of CNN are converted into 1-D vector to connect holistic regression model...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Takahiro Ando, Masaaki Hirano, Yu Ishige, Sakuichiro Adachi
Precise dispensing of droplets is a crucial step for acquiring reliable blood diagnostic results. When the source sample volume is limited, the need for precise dispensing of submicroliter and nanoliter quantities is especially important. In this paper, we developed a positive-displacement high-precision dispensing technique using a nickel electroformed tube with an inner diameter accuracy of [Formula: see text] or less. When dispensing variation of 100 nL was evaluated by using a photometric method, the most stable coefficients of variation (CV) were observed for a tube thickness of [Formula: see text] with hydrophobic treatment, where the average CV value was 1...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Shriya S Srinivasan, Sai N R Kantareddy, Ebenezer A Nkwate, Praveen Meka, Ivy Chang, Nevan C Hanumara, Khalil B Ramadi
Liquid medication overdose in pediatric patients results in over 70000 visits to the emergency room yearly in the USA. Various studies have demonstrated that the root cause of this high incidence is due to user and device error in dose measurement. The standard measuring cup and syringe suffer from the challenge of accurately measuring and dispensing viscous liquids, which comprise the majority of children's medication formulations. Here, we describe the development of a precision medication dispenser that overcomes challenges associated with viscous fluid flow at low volumes and flow rates, while incorporating various ergonomic and user-friendly features...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Haoran Ren, Hailong Jin, Chen Chen, Hemant Ghayvat, Wei Chen
Heart sounds deliver vital physiological and pathological evidence about health. Wireless cardiac auscultation offers continuous cardiac monitoring of an individual without 24*7 manual healthcare care services. In this paper, a novel wireless sensing system to monitor and analyze cardiac condition is proposed, which sends the information to the caregiver as well as a medical practitioner with an application of the Internet of Things (IoT). An integrated system for heart sound acquisition, storage, and asynchronous analysis has been developed, from scratch to information uploading through IoT and signal analysis...
2018: IEEE Journal of Translational Engineering in Health and Medicine
A Moreau-Gaudry, O Chenu, M V Dang, J-L Bosson, M Hommel, J Demongeot, F Cannard, B Diot, A Prince, C Hughes, N Vuillerme, Y Payan
Pressure ulcers (PU) are known to be a high-cost disease with a risk of severe morbidity. This paper evaluates a new clinical strategy based on an innovative medical device [Tongue Display Unit (TDU)] that implements perceptive supplementation in order to reduce prolonged excessive pressure, recognized as one of the main causes of PU. A randomized, controlled, and parallel-group trial was carried out with 12 subjects with spinal cord injuries (SCI). Subjects were assigned to the control (without TDU, [Formula: see text]) or intervention (with TDU, [Formula: see text]) group...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Heewon Chung, Hoon Ko, Se Jeong Jeon, Kwon-Ha Yoon, Jinseok Lee
OBJECTIVE: chest computed tomography (CT) images and their quantitative analyses have become increasingly important for a variety of purposes, including lung parenchyma density analysis, airway analysis, diaphragm mechanics analysis, and nodule detection for cancer screening. Lung segmentation is an important prerequisite step for automatic image analysis. We propose a novel lung segmentation method to minimize the juxta-pleural nodule issue, a notorious challenge in the applications...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Jasem Almotiri, Khaled Elleithy, Abdelrahman Elleithy
Eye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue for detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and prognosis; ophthalmologists rely heavily on the binary segmented version of retina fundus image; where the accuracy of segmented vessels, optic disc, and abnormal lesions extremely affects the diagnosis accuracy which in turn affect the subsequent clinical treatment steps...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Philip A Catherwood, David Steele, Mike Little, Stephen Mccomb, James Mclaughlin
This paper presents an advanced Internet of Things point-of-care bio-fluid analyzer; a LoRa/Bluetooth-enabled electronic reader for biomedical strip-based diagnostics system for personalized monitoring. We undertake test simulations (technology trial without patient subjects) to demonstrate potential of long-range analysis, using a disposable test 'key' and companion Android app to form a diagnostic platform suitable for remote point-of-care screening for urinary tract infection (UTI). The 868 MHz LoRaWAN-enabled personalized monitor demonstrated sound potential with UTI test results being correctly diagnosed and transmitted to a remote secure cloud server in every case...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Longtu Chen, Ruth F Lucas, Bin Feng
Breastfeeding is optimal for infant health, but more than 66% of mothers cease exclusive breastfeeding within three months after giving birth. Evaluating infants' sucking effort provides valuable diagnosis to mothers encountering barriers with breastfeeding. Sucking microstructure is defined as an array of metrics that comprehensively capture infants' ability to create a sealed latch onto mother's nipple and regulate feeding, including number of sucks, sucks per burst, number of bursts, intra suck interval, and maximal sucking pressure...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Fahad N Alsunaydih, Jean-Michel Redoute, Mehmet R Yuce
Conventional radiological and endoscopic techniques utilizing long tubes were ineffective in visualizing the small bowel mucosa until the development of wireless capsule endoscopy (WCE). WCE is a revolutionary endoscopic technology that can diagnose the complete gastrointestinal tract. However, the existing capsule technologies are passive, and thus they cannot be navigated to or held in a specific location. The design of an active capsule will present the opportunity to move and stop a device at any targeted locations leading to numerous medical applications such as drug delivery or collecting tissue samples for examinations in the laboratory...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Michael J Pennock, Zhongyuan Yu, Karen B Hirschman, Kara Pepe, Mark V Pauly, Mary D Naylor, William B Rouse
While the use of evidence-based interventions (EBIs) has been advocated by the medical research community for quite some time, uptake of these interventions by healthcare providers has been slow. One possible explanation is that it is challenging for providers to estimate impacts of a specific EBI on their particular organization. To address that concern, we developed and evaluated a type of simulation called a policy flight simulator to determine if it could improve the adoption decision about a specific EBI, the transitional care model (TCM)...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Shourjya Sanyal, Koushik Kumar Nundy
Smartphone cameras can measure heart rate (HR) by detecting pulsatile photoplethysmographic (iPPG) signals from post-processing the video of a subject's face. The iPPG signal is often derived from variations in the intensity of the green channel as shown by Poh et. al. and Verkruysse et. al. . In this pilot study, we have introduced a novel iPPG method where by measuring variations in color of reflected light, i.e., Hue, and can therefore measure both HR and respiratory rate (RR) from the video of a subject's face...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Geng Yang, Jia Deng, Gaoyang Pang, Hao Zhang, Jiayi Li, Bin Deng, Zhibo Pang, Juan Xu, Mingzhe Jiang, Pasi Liljeberg, Haibo Xie, Huayong Yang
Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comfort is one of the key issues which should be addressed for wearable devices. The SWA was developed by integrating a low-power and tiny-sized IoT sensing device with textile electrodes, which can measure, pre-process, and wirelessly transmit bio-potential signals...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Sunghoon I Lee, Catherine P Adans-Dester, Matteo Grimaldi, Ariel V Dowling, Peter C Horak, Randie M Black-Schaffer, Paolo Bonato, Joseph T Gwin
High-dosage motor practice can significantly contribute to achieving functional recovery after a stroke. Performing rehabilitation exercises at home and using, or attempting to use, the stroke-affected upper limb during Activities of Daily Living (ADL) are effective ways to achieve high-dosage motor practice in stroke survivors. This paper presents a novel technological approach that enables 1) detecting goal-directed upper limb movements during the performance of ADL, so that timely feedback can be provided to encourage the use of the affected limb, and 2) assessing the quality of motor performance during in-home rehabilitation exercises so that appropriate feedback can be generated to promote high-quality exercise...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Dayong Fan, Jiachen Yang, Junbao Zhang, Zhihan Lv, Haojun Huang, Jun Qi, Po Yang
Continuous respiratory monitoring is an important tool for clinical monitoring. The most widely used flow measure device is nasal cannulae connected to a pressure transducer. However, most of these devices are not easy to carry and continue working in uncontrolled environments which is also a problem. For portable breathing equipment, due to the volume limit, the pressure signals acquired by using the airway tube may be too weak and contain some noise, leading to huge errors in respiratory flow measures. In this paper, a cost-effective portable pressure sensor-based respiratory measure device is designed...
2018: IEEE Journal of Translational Engineering in Health and Medicine
A Ozan Bicen, Leanne L West, Liliana Cesar, Omer T Inan
Intravenous (IV) therapy is prevalent in hospital settings, where fluids are typically delivered with an IV into a peripheral vein of the patient. IV infiltration is the inadvertent delivery of fluids into the extravascular space rather than into the vein (and requires urgent treatment to avoid scarring and severe tissue damage), for which medical staff currently needs to check patients periodically. In this paper, the performance of two non-invasive sensing modalities, electrical bioimpedance (EBI), and skin strain sensing, for the automatic detection of IV infiltration was investigated in an animal model...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Diego Rativa, Bruno J T Fernandes, Alexandre Roque
Height and weight are measurements explored to tracking nutritional diseases, energy expenditure, clinical conditions, drug dosages, and infusion rates. Many patients are not ambulant or may be unable to communicate, and a sequence of these factors may not allow accurate estimation or measurements; in those cases, it can be estimated approximately by anthropometric means. Different groups have proposed different linear or non-linear equations which coefficients are obtained by using single or multiple linear regressions...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Caroline Vieira Lucena, Marcelo Lacerda, Rafael Caldas, Fernando Buarque De Lima Neto, Diego Rativa
There is a direct relationship between the prevalence of musculoskeletal disorders of the temporomandibular joint and orofacial disorders. A well-elaborated analysis of the jaw movements provides relevant information for healthcare professionals to conclude their diagnosis. Different approaches have been explored to track jaw movements such that the mastication analysis is getting less subjective; however, all methods are still highly subjective, and the quality of the assessments depends much on the experience of the health professional...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Umair Khan, Yunxing Ye, Ain-Ul Aisha, Pranay Swar, Kaveh Pahlavan
In this paper, we compute and examine two-way localization limits for an RF endoscopy pill as it passes through an individuals gastrointestinal (GI) tract. We obtain finite-difference time-domain and finite element method-based simulation results position assessment employing time of arrival (TOA). By means of a 3-D human body representation from a full-wave simulation software and lognormal models for TOA propagation from implant organs to body surface, we calculate bounds on location estimators in three digestive organs: stomach, small intestine, and large intestine...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Enzo Mastinu, Johan Ahlberg, Eva Lendaro, Liselotte Hermansson, Bo Hakansson, Max Ortiz-Catalan
The functionality of upper limb prostheses can be improved by intuitive control strategies that use bioelectric signals measured at the stump level. One such strategy is the decoding of motor volition via myoelectric pattern recognition (MPR), which has shown promising results in controlled environments and more recently in clinical practice. Moreover, not much has been reported about daily life implementation and real-time accuracy of these decoding algorithms. This paper introduces an alternative approach in which MPR allows intuitive control of four different grips and open/close in a multifunctional prosthetic hand...
2018: IEEE Journal of Translational Engineering in Health and Medicine
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