Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login
  • Users Online: 211
  • Home
  • Print this page
  • Email this page
Export selected to
Reference Manager
Medlars Format
RefWorks Format
BibTex Format
   Table of Contents - Current issue
October-December 2018
Volume 4 | Issue 4
Page Nos. 145-196

Online since Friday, December 28, 2018

Accessed 4,534 times.

PDF access policy
Journal allows immediate open access to content in HTML + PDF
View as eBookView issue as eBook
Access StatisticsIssue statistics
Hide all abstracts  Show selected abstracts  Export selected to  Add to my list

Electronic skin sensor arrays: A high potential application to medical devices p. 145
Debao Zhou
[HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Global predefinition of digital information p. 148
Wolfgang Orthuber
[HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Biological image analysis using deep learning-based methods: Literature review p. 157
Hongkai Wang, Shang Shang, Ling Long, Ruxue Hu, Yi Wu, Na Chen, Shaoxiang Zhang, Fengyu Cong, Sijie Lin
Automatic processing large amount of microscopic images is important for medical and biological studies. Deep learning has demonstrated better performance than traditional machine learning methods for processing massive quantities of images; therefore, it has attracted increasing attention from the research and industry fields. This paper summarizes the latest progress of deep learning methods in biological microscopic image processing, including image classification, object detection, and image segmentation. Compared to the traditional machine learning methods, deep neural networks achieved better accuracy without tedious feature selection procedure. Obstacles of the biological image analysis with deep learning methods include limited training set and imperfect image quality. Viable solutions to these obstacles are discussed at the end of the paper. With this survey, we hope to provide a reference for the researchers conducting biological microscopic image processing.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

ImmersiMed: Cross-platform simulation training p. 166
Pieter Jorissen, Ivan De Boi
This work presents our vision and work-in-progress on a new platform for immersive virtual and augmented reality (AR) training. ImmersiMed is aimed at medical educational and professional institutions for educating nurses, doctors, and other medical personnel. ImmersiMed is created with multi-platform support and extensibility in mind. By creating consistent experiences across different platforms and applications, ImmersiMed intends to increase simulation availability. Furthermore, it is expected to improve the quality of training and prepare students better for more advanced tasks and boost confidence in their abilities. Tools for educators are being provided so new scenarios can be added without the intervention of costly content creators or programmers. This article addresses how Immersive's mixed platform approach can ease the transition from basic school training to real-world applications by starting from a virtual reality simulation and gradually let the student move on to guided AR in the real world. By explaining the idea of a single development platform for multiple applications using different technologies and by providing tools for educators to create their own scenarios, ImmersiMed will improve training quality and availability at a low training and simulation costs.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

The role of a disruptive digital technology for home-based healthcare of the elderly: Telepresence robot p. 173
Donald Kerr, J Artur Serrano, Pradeep Ray
Many elderly people prefer to live at home independently. They and their relatives face challenges with respect to physical and mental health care in this environment. In addition, the traditional model of hospital-based centralized healthcare is now under stress due to the ageing population worldwide, especially in countries, such as Japan, China and Europe. Robots are now being used extensively for many different applications in business (e.g., materials handling) and homes (e.g., floor cleaning). On the other hand, researchers all over the world have been investigating the use of robots (e.g., PARO the therapeutic baby seal robot) to provide emotional support and well-being for the elderly. The EU project VictoryaHome was designed to trial telepresence robots for the care, safety and emotional well-being of the elderly across four countries in Europe and Australia. This paper examines the potential of integrated care of the elderly in their own homes and is based on the findings of the VictoryaHome project.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Exoskeleton in the neurorehabilitation process: Neuropsychological effects in patients affected by spinal cord injury and stroke p. 180
Paolo Milia, Federico De Salvo, Maria Cristina Peccini, Alice Sfaldaroli, Silvi Cadri, Marco Caserio, Benedetta Bigazzi, Mario Bigazzi
Background and Objectives: In neurorehabilitation, exoskeleton plays a key role among the numerous innovative and advanced frontiers in technology. The exoskeleton is intended for rehabilitation and mobility in patients with neurological motor diseases. The aim of this study is to evaluate the impact of robotic training in body perception and mood. Methods: Two patients, one affected by stroke and another affected by spinal cord injury admitted to our rehabilitation unit, have been studied. We used two exoskeletons (Ekso and Indego). Training occurred 3 days a week for a total of forty sessions, with a duration of 50–60 min each session. Psychological tests focused on depression (Beck Depression Inventory), self-perception (body uneasiness test A), and the workload (NASA-Task Load Index) were used. Results: After the treatment, we found a great improvement in mood disorders and body perception in the patients. Conclusions: Patients with neurological motor diseases can increase motor and psychological skills using an active powered exoskeleton.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Investigation on the status of radiation therapy for nasopharyngeal cancer in Chongqing city p. 184
Ying Zhu, Ge Wang, Guanghui Li, Jianjun Li, Fu Jin, Tao Zhang, Xuefen Liu, Jianguo Sun
Objective: The objective of the study is to investigate the regional capacity and implementation of radiotherapy for nasopharyngeal carcinoma (NPC) in Chongqing city. Materials and Methods: The questionnaires, self-designed electronic forms in a uniform format, were distributed to 37 radiotherapy institutions, which covered all the medical units equipped with radiotherapy equipment in this city. Results: Of the 37 radiotherapy units in Chongqing, 27 could deliver radiotherapy for NPC, but the remaining 10 institutions could not due to equipment limitations. From January to December 2017, a total of 2904 patients with NPC were treated with radiotherapy. Patients from the five teaching hospitals in the main districts of the city accounted for 86% of the participants. There were four representative types of radiotherapy plan based on radiation technology among these units. Of the 37 units, 18 used intensity-modulated radiotherapy, 6 adopted three-dimensional conformal radiotherapy, 2 chose volumetric modulated arc therapy, and 1 delivered two-dimensional traditional radiotherapy; only 10 units applied magnetic resonance imaging (MRI)-computed tomography registration and fusion for gross tumor volume delineation in NPC treatment, and only 3 units routinely acquired nasopharyngeal and neck MRI scans to evaluate tumor shrinkage during treatment. Conclusion: Obvious distinctions exist between various units in Chongqing city in radiotherapeutic strategy, radiotherapy plan, frequency of image-guided radiation therapy, and mid-treatment evaluation for NPC radiotherapy. We need to learn and apply NPC guideline and consensus to improve NPC radiotherapy in Chongqing and to construct a rule with regional characteristics.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Computerized neuropsychological rehabilitation of a frontal lobe stroke: Hierarchical attention training p. 191
Federico De Salvo, Paolo Milia, Maria Cristina Peccini, Alice Sfaldaroli, Silvi Cadri, Marco Caserio, Benedetta Bigazzi, Mario Bigazzi
The prefrontal cortex (PFC) has extensive reciprocal connections with nearly all cortical and subcortical structures, placing it in a unique position to orchestrate a wide range of cognitive and affective neural functions. Damage of PFC in humans is associated with profound changes in social and affective behavior. The development of new technologies in the field of cognitive rehabilitation is giving us the opportunity to use computer-based cognitive tools to improve the recovery of patients affected by acquired brain injury.
[ABSTRACT]  [HTML Full text]  [PDF]  [Mobile Full text]  [EPub]  [Sword Plugin for Repository]Beta

Subscribe this journal
Submit articles
Most popular articles
Joiu us as a reviewer
Email alerts
Recommend this journal