International Journal of E-Health and Medical Communications This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Human Fall Detection Using Efficient Kernel and Eccentric Approach
The objective of this paper is to design the fall detection model using data of daily living activities only. In the proposed fall detection model, an eccentric approach with SVM based one-class classification is used. For the pre-processing step, fast fourier transformation has been applied to the data and seven features have been calculated using the preprocessed ADL dataset that has been calculated from the dataset of ADL (activities of daily living) activities acquired from the smartphones. An enhancement of the chi-square kernel-based support vector machine has been proposed here for classifying ADL activities from fa...
Source: International Journal of E-Health and Medical Communications - November 4, 2020 Category: Information Technology Authors: Shrivastava, Rashmi Pandey, Manju Tags: Health Information Systems Medicine & Healthcare Source Type: research

Brain State Intelligence and Cognitive Health Through EEG Date Modeling
Electroencephalographic data modeling is widely used in developing applications in the areas of healthcare, as well as brain-computer interface. One particular study is to use meditation research to reach out to the high-end applications of EEG data analysis in understanding human brain states and assisting in promoting human healthcare. The analysis of these states could be the initial step in a process to first predict and later allow individuals to control these states. To this end, the authors begin to build a system for dynamic brain state analysis using EEG data. The system allows users to transit EEG data to an onli...
Source: International Journal of E-Health and Medical Communications - November 4, 2020 Category: Information Technology Authors: Lin, Hong Garza, Jonathan Schreiber, Gregor Yang, Minghao Cui, Yunwei Tags: Health Information Systems Medicine & Healthcare Source Type: research

Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image
In conclusion, obtained results are prominent and consistent. (Source: International Journal of E-Health and Medical Communications)
Source: International Journal of E-Health and Medical Communications - November 4, 2020 Category: Information Technology Authors: Mourya, Gajendra Kumar Gogoi, Manashjit Talbar, S. N. Dutande, Prasad Vilas Baid, Ujjwal Tags: Health Information Systems Medicine & Healthcare Source Type: research

Data Mining of MR Technical Parameters
Exposure to radiofrequency (RF) energy during a magnetic resonance imaging exam is a safety concern related to biological thermal effects. Estimation of the specific absorption rate (SAR) is done by manufacturer scanner integrated tools to monitor RF energy. This work presents an exploratory approach of DICOM metadata focused in whole-body SAR values, patient dependent parameters, and pulse sequences. Previously acquired abdominopelvic and head studies were retrieved from a 3 Tesla scanner. Dicoogle tool was used for metadata indexing, mining, and extraction. Specifically weighted pulse sequences were related with weight, ...
Source: International Journal of E-Health and Medical Communications - November 4, 2020 Category: Information Technology Authors: Murra ças, Adriana Martins, Paula Maria Vaz Ferreira, Carlos Daniel Cipriani Godinho, Tiago Marques Ferreira da Silva, Augusto Marques Tags: Health Information Systems Medicine & Healthcare Source Type: research

Rummage of Machine Learning Algorithms in Cancer Diagnosis
With the continuous improvement of digital imaging technology and rapid increase in the use of digital medical records in last decade, artificial intelligence has provided various techniques to analyze these data. Machine learning, a subset of artificial intelligence techniques, provides the ability to learn from past and present and to predict the future on the basis of data. Various AI-enabled support systems are designed by using machine learning algorithms in order to optimize and computerize the process of clinical decision making and to bring about a massive archetype change in the healthcare sector such as timely id...
Source: International Journal of E-Health and Medical Communications - November 4, 2020 Category: Information Technology Authors: Johri, Prashant Saxena, Vivek sen Kumar, Avneesh Tags: Health Information Systems Medicine & Healthcare Source Type: research

Single-Channel Region-Based Speller for Controlling Home Appliances
The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be controlled with the help of brain activities only. Therefore, this kind of system is helpful for patients, who are completely paralyzed or suffering from diseases like ALS (Amyotrophic Lateral Sclerosis), and spinal cord injury, etc., but having a normal functioning brain. A region-based P300 speller system for controlling home electronic appliances is proposed in this article. With the help of the p...
Source: International Journal of E-Health and Medical Communications - September 17, 2020 Category: Information Technology Authors: Shukla, Praveen Kumar Chaurasiya, Rahul Kumar Verma, Shrish Tags: Health Information Systems Medicine & Healthcare Source Type: research

End Users' Initial Perceptions of mHealth in Nigeria
Mobile health (mHealth) is perceived as a “silver bullet” solution to many of the existing healthcare delivery issues in developing regions. However, the design, development, piloting, implementation, and maintenance activities associated with mHealth are significant. Fundamental to the success of mHealth is stakeholder support within t he healthcare system. A qualitative exploratory approach using interviews, presentations, and focus groups was pursued to investigate primary healthcare (PHC) workers' initial perceptions of the proposed IMPACT app to support the assessment of sick young children in the community in Nsu...
Source: International Journal of E-Health and Medical Communications - September 17, 2020 Category: Information Technology Authors: Fox, Grace O'Connor, Yvonne Eze, Emmanuel Ndibuagu, Edmund Onyemaechi Heavin, Ciara Tags: Health Information Systems Medicine & Healthcare Source Type: research

A Comparative Policy Analysis in the E-Health Industry Between China and the USA
With the problems of neonatal survival and aging of the population becoming increasingly serious, the voice that longs for a new model of the medical industry is pushed to the limelight in the society. Gradually, a neologism “eHealth” is perceived by the public. A number of countries believe the eHealth industry will be the most promising industry in the 21st century, and policies should be made to promote its development. From the view of the policy tools, this paper proposes a theoretical analysis framework for t he eHealth industry to compare the policies of the eHealth industry between China and the USA, who respec...
Source: International Journal of E-Health and Medical Communications - September 17, 2020 Category: Information Technology Authors: Ma, Xiang Ding, Kun Shyu, Joseph Z. Tags: Health Information Systems Medicine & Healthcare Source Type: research

Computer-Assisted Analysis of Human Semen Concentration and Motility
Computer-assisted semen analysis systems insist on evaluating sperm characteristics. These systems afford capacity to study and evaluate sperm statistical and morphological characteristics such as concentration, morphology, and motility, which have an important role in diagnosis and treatment of male infertility. In this paper, the proposed algorithm allows the assessment of concentration and motility rate of sperms in microscopic videos. First, enhancement process is required because of microscopic images limitations such as low contrast and noises. Then, for true sperm recognition among noise and debris, a hybrid approac...
Source: International Journal of E-Health and Medical Communications - September 17, 2020 Category: Information Technology Authors: Boumaza, Karima Loukil, Abdelhamid Tags: Health Information Systems Medicine & Healthcare Source Type: research

Opportunities and Challenges of Using Mobile Applications for Workplace Health Promotion
Workplace health promotion (WHP) needs be adjusted to the new ways of working and improved in terms of participation rates. As mobile applications (apps) have proved to be effective in various health areas, it might also be a solution for WHP. However, there is a lack of knowledge about the requirements employees would have on such an app for WHP. Therefore, 29 semi-structured interviews were conducted with employees and experts of an IT company. Most employees were rather positive about such an app. Concerns were stated in terms of added value and data security. Variations were found in preferred functionalities. Apps mig...
Source: International Journal of E-Health and Medical Communications - September 17, 2020 Category: Information Technology Authors: Junker, Maren B öhm, Markus Edwards, Frederik Krcmar, Helmut Tags: Health Information Systems Medicine & Healthcare Source Type: research

Using Tablets to Collect Breast Cancer Risk Information in an Underserved Population
The authors tested the use of tablets to collect breast cancer risk data and compared the approach against paper-based scantrons. The goal was to examine the usability of digital technology for data collection in underserved populations. A total of 340 individuals were randomized to answer a breast health survey via either tablets (170) or paper forms (170). Post questionnaire surveys were conducted to evaluate the usability of tablets. Outcomes included completion time, satisfaction, and the numbers and types of questions raised by patients during the survey. There was no significant difference in questionnaire completion...
Source: International Journal of E-Health and Medical Communications - May 22, 2020 Category: Information Technology Authors: Naeim, Arash Xie, Zhuoer Johansen, Liliana Wenger, Neil S. Elashoff, David Petruse, Antonia Rahbar, Guita Tags: Health Information Systems Medicine & Healthcare Source Type: research

Qualitative Analysis of 3D Routing Algorithms in 3 ×3×3 Mesh NoC Topology Under Varying Load in Bio-SoC
This article presents a qualitative analysis of a 3D routing algorithm in a 3 ×3×3 mesh NOC topology. The effect of load variation on throughput, total energy, and maximum delay for different types of routing is observed. The simulation was performed on an Access NOXIM network-on-chip simulator under random traffic conditions. The research involves quality parameters like t otal packets received, total received flits, global average delay (cycles), global average throughput (flits/cycle), throughput (flits/cycle/IP), max delay (cycles), total energy (J), average power (J/cycle), average power per router (J/cycle), and av...
Source: International Journal of E-Health and Medical Communications - March 21, 2020 Category: Information Technology Authors: Syal, Nidhi Sehgal, Vivek Kumar Tags: Health Information Systems Medicine & Healthcare Source Type: research

Brain Tumor Detection Based on Multilevel 2D Histogram Image Segmentation Using DEWO Optimization Algorithm
This study presents a Renyi entropy-based multilevel image segmentation approach using a combination of differential evolution and whale optimization algorithms (DEWO) to detect brain tumors. Further, to validate the efficiency of the proposed hybrid algorithm, it is compared with some prominent metaheuristic algorithms in recent past using between-class variance and the Tsallis entropy functions. The proposed hybrid algorithm for image segmentation is able to achieve better results than all the other metaheuristic algorithms in every entropy-based segmentation performed on brain MR images. (Source: International Journal o...
Source: International Journal of E-Health and Medical Communications - March 21, 2020 Category: Information Technology Authors: Kumar, Sumit Vig, Garima Varshney, Sapna Bansal, Priti Tags: Health Information Systems Medicine & Healthcare Source Type: research

Monitoring IaaS Cloud for Healthcare Systems
Healthcare functionality is enriched by cloud services which offers a perspective for broad integration and interoperability. Cloud-based facilities support healthcare systems to remain connected to remote access devices to various tasks and information. The healthcare actors should have an understanding of the risks and benefits associated with the usage of Cloud Computing resources utilization. Also, they must launch an appropriate contract-based relationship between the Cloud Service Providers and the actors of healthcare systems by means of Service Level Agreements (SLAs). The variation in both demand and supply within...
Source: International Journal of E-Health and Medical Communications - March 21, 2020 Category: Information Technology Authors: Prasad, Vivek Kumar Bhavsar, Madhuri D. Tags: Health Information Systems Medicine & Healthcare Source Type: research

A Rule-Based Monitoring System for Accurate Prediction of Diabetes
This article presents a diabetic monitoring system to determine the risk of diabetes based on the personal health record of patients. In this work, several rules are designed based on the clinical as well as non-clinical symptoms. The effectiveness of the diabetes monitoring system is tested on a set of two hundred forty people. The simulation results are also compared with well-known techniques available for diabetes prediction. It is stated that proposed monitoring system obtains 90.41% accuracy rate as compared with other techniques. (Source: International Journal of E-Health and Medical Communications)
Source: International Journal of E-Health and Medical Communications - March 21, 2020 Category: Information Technology Authors: Srivastava, Anand Kumar Kumar, Yugal Singh, Pradeep Kumar Tags: Health Information Systems Medicine & Healthcare Source Type: research