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IEEE Reviews in Biomedical Engineering

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https://www.readbyqxmd.com/read/29035225/a-review-of-automated-methods-for-detection-of-myocardial-ischemia-and-infarction-using-electrocardiogram-and-electronic-health-record
#1
Sardar Ansari, Negar Farzaneh, Marlena Duda, Kelsey Horan, Hedvig B Andersson
There is a growing body of research focusing on automatic detection of ischemia and myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI are diagnosed using ECG recordings as well as medical context including patient symptoms, medical history and risk factors, information that is often stored in the electronic health records. The ECG signal is inspected to identify changes in the morphology such as ST-segment deviation and T wave changes. Some of the proposed methods compute similar features automatically while others use non-conventional features such as wavelet coefficients...
October 16, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28976322/medical-devices-for-paediatric-apnea-monitoring-and-therapy-past-and-new-trends
#2
Salvatore A Pullano, Ifana Mahbub, Maria Giovanna Bianco, Samira Shamsir, Syed K Islam, Mark S Gaylord, Vichien Lorch, Antonino S Fiorillo
Apnea in the paediatric population is associated with increased morbidity and mortality in a large number of developed as well as developing countries. It is even more prominent in preterm newborn infants and is commonly referred to as apnea of prematurity. Its current diagnosis and therapy involve the use of traditional technologies which often result in discomfort to the infants due to the use of invasive devices attached to their sensitive skin, especially in overnight clinical sleep analysis (for over 12- or 24-hour period)...
September 29, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28961125/are-current-advances-of-compression-algorithms-for-capsule-endoscopy-enough-a-technical-review
#3
Mohammad Wajih Alam, Md Mehedi Hasan, Shahed Khan Mohammed, Farah Deeba, Khan A Wahid
The recent technological advances in capsule endoscopy system has revolutionized the healthcare system by introducing new techniques and functionalities in the system to diagnose entire gastrointestinal tract which resulted in better diagnostic accuracy, reducing hospitalization, and improving its clinical outcome. Although many benefits of present capsule endoscopy are known, there are still significant drawbacks with respect to conventional endoscope system including size, battery life, bandwidth, image quality and higher frame rate, which has restricted its wide use...
September 26, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28885161/virtual-and-augmented-reality-systems-for-renal-interventions-a-systematic-review
#4
Felicitas J Detmer, Julian Hettig, Daniel Schindele, Martin Schostak, Christian Hansen
Many virtual and augmented reality systems have been proposed to support renal interventions. This paper reviews such systems employed in the treatment of renal cell carcinoma and renal stones.
September 6, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28880188/a-review-of-safety-and-hazards-associated-with-the-artificial-pancreas
#5
Charrise M Ramkissoon, Brian Aufderheide, B Wayne Bequette, Josep Vehi
The artificial pancreas (AP) is a closed-loop (CL) device with the potential to reduce the complications associated with type 1 diabetes mellitus (T1DM) by maintaining euglycemia in patients. The AP encompasses an algorithm that determines the amount of insulin (and other hormones) to be administered to the patient via a continuous subcutaneous insulin infusion (CSII) pump using information provided by a continuous glucose monitor (CGM) and other sensors. As the AP approaches commercialization special attention must be given to safety within all the individual components, including physiological changes in the patient, as well as, safety issues that can arise when these components are combined into a single system...
September 4, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28866600/a-review-in-detection-and-monitoring-gait-disorders-using-in-shoe-plantar-measurement-systems
#6
Julian A Ramirez-Bautista, Jorge A Huerta-Ruelas, Silvia L Chaparro-Cardenas, Antonio Hernandez-Zavala
Gait is an important part of our daily life as people do many activities in this dynamic position. Special footwear is fundamental to obtain an ergonomic gait and to extract data for analysis. The plantar foot pressure can be employed to detect many kinds of disorders, suggest improvements in treatments, rehabilitation tasks, patient monitoring, development of orthopedic devices and other applications. In the last years, attention in this topic is growing reflected in many works issued in both commercial and academic groups, focused on the development of devices for foot plantar pressure measurement with applications in medicine, sports, and research...
August 30, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28816674/advances-in-monte-carlo-simulation-for-light-propagation-in-tissue
#7
Vijitha Periyasamy, Manojit Pramanik
Monte Carlo (MC) simulation for light propagation in tissue is the gold standard for studying the light propagation in biological tissue and has been used for years. Interaction of photons with a medium is simulated based on its optical properties. New simulation geometries, tissue-light interaction methods, and recording techniques are designed recently. Applications, such as whole mouse body simulations for fluorescence imaging, eye model for blood vessel imaging, skin model for terahertz imaging, human head model for sinus imaging, have emerged...
August 14, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28809713/a-survey-on-biofeedback-and-actuation-in-wireless-body-area-networks-wban
#8
Rui Li, Daniel T H Lai, WeeSit Lee
Wireless Body Area Networks (WBAN) has attained increasing popularity as the next generation framework of wearable technologies for human monitoring. Invasive or non-invasive wearable sensors designed in WBAN are worn to gather vital information. Biofeedback is a recent concept where collected data is used to generate actuation signals in WBANs. Applications can be seen in various areas such as sports (e.g. locomotor velocity) or medical (e.g. blood pressure measurement). However, since the body is closely regulated, the next generation WBAN technology must be smart enough to react to monitored data...
August 10, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28682265/virtual-humans-models-for-electromagnetic-studies-and-their-applications
#9
Sergey Makarov, Gregory Noetscher, Ara Nazarian, Alexander Prokop, Aapo Nummenmaa
Numerical simulation of the electromagnetic, thermal and mechanical responses of the human body to different stimuli in MRI safety, antenna research, electromagnetic tomography, and electromagnetic stimulation is currently limited by the availability of anatomically adequate and numerically efficient cross-platform computational models or "virtual humans". The objective of this study is to provide a comprehensive review of modern human models and body region models available in the field and their important features...
June 30, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28622675/state-of-the-art-methods-for-brain-tissue-segmentation-a-review
#10
Lingraj Dora, Sanjay Agrawal, Rutuparna Panda, Ajith Abraham
Brain tissue segmentation is one of the most sought after research area in medical image processing. It provides detailed quantitative brain analysis for accurate disease diagnosis, detection and classification of abnormalities. It plays an essential role in discriminating healthy tissues from lesion tissues. Therefore, accurate disease diagnosis and treatment planning depends merely on the performance of segmentation method used. In this paper, we have studied the recent advances in brain tissue segmentation methods and their state-of-the-art in neuroscience research...
June 14, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28600260/diving-into-research-of-biomedical-engineering-in-scuba-diving
#11
Tobias Cibis, Alistair McEwan, Bjoern Eskofier, John Lippmann, Karl Friedl, Michael Bennett
The physiologic response of the human body to different environments is a complex phenomenon to ensure survival. Immersion and compressed gas diving, together trigger a set of responses. Monitoring those responses in real-time may increase our understanding of these and help to develop safety procedures and equipment. This review outlines diving physiology and diseases and identifies physiological parameters worthy of monitoring. Subsequently, we have investigated technological approaches matched to those in order to evaluated their capability for underwater application...
June 7, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28541226/haptic-feedback-in-needle-insertion-modeling-and-simulation-review
#12
Gourishetti Ravali, Muniyandi Manivannan
Needle insertion being the most basic skill in medical care, training has to be imparted not only for physicians but also for nurses and paramedics. In most needle insertion procedures haptic feedback from the needle is the main stimulus that novices are to be trained in. For better patient safety, the classical methods of training the haptic skills have to be replaced with simulators based on new robotic and graphics technologies. This paper reviews the current advances in needle insertion modeling. It is classified into three sections: needle insertion models, tissue deformation models, and needle-tissue interaction models...
May 23, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28541225/stability-of-enzymatic-biosensors-for-wearable-applications
#13
Apurva Sonawane, Pandiaraj Manickam, Shekhar Bhansali
Technological evolution in wearable sensors is accounting for major growth and transformation in multitude of industries ranging from healthcare to computing & informatics to communication and biomedical sciences. The major driver for this transformation is the new-found ability to continuously monitor and analyze the patients' physiology in patients' natural setting. Numerous wearable sensors are already on the market and are summarized. Most of the current technologies have focused on electro-physiological, electro-mechanical or acoustic measurements...
May 19, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28534786/evolutionary-computing-enriched-computer-aided-diagnosis-system-for-diabetic-retinopathy-a-survey
#14
Romany Mansour
The alterations caused due to diabetes mellitus results into significant micro-vasculature that eventually causes diabetic retinopathy (DR) that keeps on increasing as per time and eventually causes complete vision loss. Identifying subtle variations in morphological changes in retinal blood vessels, optic disk, exudates, micro-aneurysms, hemorrhage etc is complicate and requires robust computer aided diagnosis (CAD) system so as to enable earlier and efficient DR diagnosis practices. In majority of the existing CAD systems, the need of functional enhancement has been realized time by time to ensure accurate and time efficient DR...
May 17, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28459696/wireless-capsule-gastrointestinal-endoscopy-direction-of-arrival-estimation-based-localization-survey
#15
Nilanjan Dey, Amira S Ashour, Fuquian Shi, Robert Simon Sherratt
One of the significant challenges in Capsule Endoscopy (CE) is to precisely determine the pathologies location. The localization process is primarily estimated using the received signal strength from sensors in the capsule system through its movement in the gastrointestinal (GI) tract. Consequently, the wireless capsule endoscope (WCE) system requires improvement to handle the lack of the capsule instantaneous localization information and to solve the relatively low transmission data rate challenges. Furthermore, the association between the capsule's transmitter position, capsule location, signal reduction and the capsule direction should be assessed...
April 25, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28422665/human-factors-and-neurophysiological-metrics-in-air-traffic-control-a-critical-review
#16
Pietro Arico, Gianluca Borghini, Gianluca Di Flumeri, Stefano Bonelli, Alessia Golfetti, Ilenia Graziani, Simone Pozzi, Jean-Paul Imbert, Geraud Granger, Railane Benhacene, Dirk Schaefer, Fabio Babiloni
This article provides the reader a focused and organised review of the research progresses on neurophysiological indicators, also called "neurometrics", to show how neurometrics could effectively address some of the most important Human Factors (HFs) needs in the Air Traffic Management (ATM) field. The state of the art on the most involved HFs and related cognitive processes (e.g. mental workload, cognitive training) is presented together with examples of possible applications in the current and future ATM scenarios, in order to better understand and highlight the available opportunities of such neuroscientific applications...
April 12, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28333642/endomicroscopy-for-computer-and-robot-assisted-intervention
#17
Siyang Zuo, Guang-Zhong Yang
Endomicroscopy is a new technique that allows human tissue to be characterized in vivo, and in situ, circumventing the need for conventional biopsy and histology. Despite increased application and growing research interests in this area, the clinical application of endomicroscopy, however, is limited by difficulties in ergonomic control, consistent probe-tissue contact, large area surveillance and retargeting. Recently, advances in high-speed imaging, mosaicing and robotics have aimed to address these difficulties...
March 22, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28328511/wireless-power-transfer-strategies-for-implantable-bioelectronics-methodological-review
#18
Kush Agarwal, Rangarajan Jegadeesan, Yong-Xin Guo, Nitish V Thakor
Neural implants have emerged over the last decade as highly effective solutions for the treatment of dysfunctions and disorders of the nervous system. These implants establish a direct, often bidirectional, interface to the nervous system, both sensing neural signals and providing therapeutic treatments. As a result of the technological progress and successful clinical demonstrations, completely implantable solutions have become a reality and are now commercially available for the treatment of various functional disorders...
March 16, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28113349/active-electrodes-for-wearable-eeg-acquisition-review-and-electronics-design-methodology
#19
Jiawei Xu, Srinjoy Mitra, Chris Van Hoof, Refet Yazicioglu, Kofi A A Makinwa
Active Electrodes (AE), i.e. electrodes with built-in readout circuitry, are increasingly being implemented in wearable healthcare and lifestyle applications due to AE's robustness to environmental interference. An AE locally amplifies and buffers μV-level EEG signals before driving any cabling. The low output impedance of an AE mitigates cable motion artifacts thus enabling the use of high-impedance dry electrodes for greater user comfort. However, developing a wearable EEG system, with medical grade signal quality on noise, electrode offset tolerance, common-mode rejection ratio (CMRR), input impedance and power dissipation, remains a challenging task...
January 20, 2017: IEEE Reviews in Biomedical Engineering
https://www.readbyqxmd.com/read/28092576/multiple-instance-learning-for-medical-image-and-video-analysis
#20
Gwenole Quellec, Guy Cazuguel, Beatrice Cochener, Mathieu Lamard
Multiple-Instance Learning (MIL) is a recent machine learning paradigm that is particularly well suited to Medical Image and Video Analysis (MIVA) tasks. Based solely on class labels assigned globally to images or videos, MIL algorithms learn to detect relevant patterns locally in images or videos. These patterns are then used for classification at a global level. Because supervision relies on global labels, manual segmentations are not needed to train MIL algorithms, unlike traditional Single-Instance Learning (SIL) algorithms...
January 10, 2017: IEEE Reviews in Biomedical Engineering
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