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IEEE Journal of Translational Engineering in Health and Medicine

Si Mon Kueh, Tom J Kazmierski
This paper presents results of using a simple bit-serial architecture as a method of designing an extremely low-power and low-cost neural network processor for epilepsy seizure prediction. The proposed concept is based on a novel bit-serial data processing unit (DPU) which implements the functionality of a complete neuron and uses bit-serial arithmetic. Arrays of DPUs are controlled by simple finite state machines. We show that epilepsy detection through such dedicated neural hardware is feasible and may facilitate development of wearable, low-cost and low-energy personalized seizure prediction equipment...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Tao Tan, Zhang Li, Haixia Liu, Farhad G Zanjani, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li
Bronchoscopy inspection, as a follow-up procedure next to the radiological imaging, plays a key role in the diagnosis and treatment design for lung disease patients. When performing bronchoscopy, doctors have to make a decision immediately whether to perform a biopsy. Because biopsies may cause uncontrollable and life-threatening bleeding of the lung tissue, thus doctors need to be selective with biopsies. In this paper, to help doctors to be more selective on biopsies and provide a second opinion on diagnosis, we propose a computer-aided diagnosis (CAD) system for lung diseases, including cancers and tuberculosis (TB)...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Carlos Torres, Jeffrey C Fried, B S Manjunath
The health of patients in the intensive care unit (ICU) can change frequently and inexplicably. Crucial events and activities responsible for these changes often go unnoticed. This paper introduces healthcare event and action logging (HEAL) which automatically and unobtrusively monitors and reports on events and activities that occur in a medical ICU room. HEAL uses a multimodal distributed camera network to monitor and identify ICU activities and estimate sanitation-event qualifiers. At the core is a novel approach to infer person roles based on semantic interactions , a critical requirement in many healthcare settings where individuals' identities must not be identified...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Adam Rao, Simon Chu, Neil Batlivala, Samuel Zetumer, Shuvo Roy
Accumulation of excess air and water in the lungs leads to breakdown of respiratory function and is a common cause of patient hospitalization. Compact and non-invasive methods to detect the changes in lung fluid accumulation can allow physicians to assess patients' respiratory conditions. In this paper, an acoustic transducer and a digital stethoscope system are proposed as a targeted solution for this clinical need. Alterations in the structure of the lungs lead to measurable changes which can be used to assess lung pathology...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Nannan Zhang, Lina Yue, Yajie Xie, Oluwarotimi William Samuel, Olatunji Mumini Omisore, Weihua Pei, Xiao Xing, Chuang Lin, Yudong Zheng, Lei Wang
We propose a flexible, dry, and antibacterial electrode with a low and stable skin electrode contact impedance for bio-potential signal monitoring. We fabricated a bacterial cellulose/polyaniline/AgNO3 nanocomposite membrane (BC/PANI/AgNO3 ) and used it for bio-potential signal monitoring. The bacterial cellulose (BC) provides a 3-D nanoporous network structure, and it was used as a substrate material in the BC/PANI/AgNO3 nanocomposite membrane. Polyaniline (PANI) and AgNO3 , acting as conductive and antibacterial components, respectively, were polymerized and deposited on the surfaces of BC nanofibers to produce uniform thin film membrane with flexible, antibacterial, and conductive properties...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Vaclav Kremen, Benjamin H Brinkmann, Inyong Kim, Hari Guragain, Mona Nasseri, Abigail L Magee, Tal Pal Attia, Petr Nejedly, Vladimir Sladky, Nathanial Nelson, Su-Youne Chang, Jeffrey A Herron, Tom Adamski, Steven Baldassano, Jan Cimbalnik, Vince Vasoli, Elizabeth Fehrmann, Tom Chouinard, Edward E Patterson, Brian Litt, Matt Stead, Jamie Van Gompel, Beverly K Sturges, Hang Joon Jo, Chelsea M Crowe, Timothy Denison, Gregory A Worrell
Brain stimulation has emerged as an effective treatment for a wide range of neurological and psychiatric diseases. Parkinson's disease, epilepsy, and essential tremor have FDA indications for electrical brain stimulation using intracranially implanted electrodes. Interfacing implantable brain devices with local and cloud computing resources have the potential to improve electrical stimulation efficacy, disease tracking, and management. Epilepsy, in particular, is a neurological disease that might benefit from the integration of brain implants with off-the-body computing for tracking disease and therapy...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Maxence Bobin, Margarita Anastassova, Mehdi Boukallel, Mehdi Ammi
This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in the hospital and at home during their daily living activities. The platform provides relevant data to the therapist in order to assess the patients physical state and adapt the rehabilitation program if necessary. The platform consists of a self-contained smart cup that can be used to perform exercises that are similar to everyday tasks such as drinking. The first smart cup prototype, the design of which was based on interviews regarding the needs of therapists, contains various sensors that collect information about its orientation, the liquid level, its position compared to a reference target and tremors...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Nora Vanessa de Camp, Axel Heimann, Oliver Kempski, Juergen Bergeler
Intestinal electrical stimulation via implants is already used to treat several disorders like constipation or incontinence. Stimulation parameters are most often empiric and not based on systematic studies. One prerequisite to evaluate effects of intestinal electrical stimulation is a direct assessment of intestinal motility. Some common methods are strain gauge transducers or manometry. With both the methods, it is not possible to record the exact 3-D movement. Therefore, we established a new method to record gastrointestinal motility with ultraminiaturized accelerometers, directly glued to the outer surface of the stomach, small intestine, and colon...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Shih-Kai Lin, Istiqomah, Li-Chun Wang, Chin-Yew Lin, Herming Chiueh
In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) an epileptic seizure detection tag (ESDT); 3) a Bluetooth low-power chip; and 4) customized electrodes. All the above components are integrated into a fabric headband with only 50.3 g. The smart headband system dissipates 55.89 mW. The epileptic seizure detection algorithm inside ESDT is validated by using Boston Children's Hospital's CHB-MIT scalp EEG clinical database with the detection rate of 92...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Chi-Wei Chang, Kuo-Meng Liao, Ying-Chun Chen, Sheng-Hung Wang, Ming-Yie Jan, Gin-Chung Wang
Diabetic patients with silent myocardial ischemia (SMI) have elevated rates of morbidity and mortality and need intensive care and monitoring. An early predictor of SMI may lead to early diagnosis and medical treatment to prevent progression and adverse clinical events. Therefore, this paper was aimed to evaluate the radial pulse spectrum as risk markers to improve the risk stratification of SMI in type-2 diabetic patients; 195 diabetic patients at high-risk of SMI were enrolled. All patients underwent myocardial perfusion imaging and radial pressure wave measurement...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Anne Lee Solevag, Po-Yin Cheung, Elliott Li, Sarah Zhenchun Xue, Megan O'Reilly, Bo Fu, Bin Zheng, Georg Schmolzer
The objective of this paper was to examine the changes in applied force and rate of chest compression (CC) during 5 min of CC with a target CC rate of 90/min (CC90) or 120/min (CC120) with and without metronome guidance during simulated neonatal cardiopulmonary resuscitation (CPR). We performed a randomized controlled manikin trial. Fourteen neonatal resuscitation program providers performed CC90 and CC120 with or without a metronome in a randomized order. Peak and residual leaning force and CC rate each minute of CPR were analyzed with Friedman's analysis of variance (ANOVA) (within interventions) and two-way repeated measures ANOVA (between interventions)...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Katherine R Schoepp, Michael R Dawson, Jonathon S Schofield, Jason P Carey, Jacqueline S Hebert
The aim of this paper was to demonstrate the functionality of an inexpensive mechanotactile sensory feedback system for transhumeral myoelectric prostheses. We summarize the development of a tactile-integrated prosthesis, including 1) evaluation of sensors that were retrofit onto existing commercial terminal devices; 2) design of two custom mechanotactile tactors that were integrated into a socket without compromising suction suspension; 3) design of a modular controller which translated sensor input to tactor output, was wirelessly adjusted, and fit within a prosthetic forearm; and 4) evaluation of the system with a single transhumeral participant...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Michael Osadebey, Marius Pedersen, Douglas Arnold, Katrina Wendel-Mitoraj
Magnetic resonance imaging (MRI) system images are important components in the development of drugs because it can reveal the underlying pathology in diseases. Unfortunately, the processes of image acquisition, storage, transmission, processing, and analysis can influence image quality with the risk of compromising the reliability of MRI-based data. Therefore, it is necessary to monitor image quality throughout the different stages of the imaging workflow. This report describes a new approach to evaluate the quality of an MRI slice in multi-center clinical trials...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Nai-Yuan Liu, Pinar Cay-Durgun, Tianmiao Lai, Mark Sprowls, Leslie Thomas, Mary Laura Lind, Erica Forzani
This paper introduces a wireless, solid-state, portable, and automated device capable of measuring the total ammonia [ammonia (NH3 ) and ammonium (NH4 + )] levels of fluids, including biological samples. This device reliably measures the total ammonia of biological samples (e.g., urine) faster than the current ammonia quantification techniques. Medical professionals typically estimate NH4+ levels using error-prone indirect measurement techniques (i.e., urine anion gap), which are time-consuming and are seldom suitable for periodic measurements...
2018: 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
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