The spread of the SARS-CoV-2 virus has made COVID-19 disease a worldwide epidemic. most common tests to identify are invasive, time consuming and limited in resources. Imaging is non-invasive technique if individuals have symptoms their lungs. However, diagnosis by this method needs be specialist doctor, which limits mass population. Image processing tools support reduce load ruling out negative cases. Advanced artificial intelligence techniques such as Deep Learning shown high effectiveness...

Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous ubiquitous monitoring systems. The effectiveness for analyzing temporal signals with low energy consumption is one most characteristics these devices. Recurrent neural networks (RNNs) demonstrated great accuracy some problems that require sequential inputs. However, getting appropriate response times power...

Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve ends in vision loss. The classic techniques detect it have undergone great change since intrusion of machine learning into processing eye fundus images. Several works focus on training convolutional neural network (CNN) by brute force, while others use segmentation and feature extraction glaucoma. In this work, diagnostic aid tool glaucoma using images developed, trained tested. It consists two...

The Internet, and its popularity, continues to grow at an unprecedented pace. Watching videos online is very popular; it estimated that 500 h of video are uploaded onto YouTube, a video-sharing service, every minute that, by 2019, formats will comprise more than 80% Internet traffic. Health-related popular on but their quality always matter concern. One approach enhancing the provide additional educational health content, such as websites, support consumers. This study investigates...

Smoking cessation is a persistent leading public health challenge. Mobile (mHealth) solutions are emerging to improve smoking treatments. Previous approaches have proposed supporting with tailored motivational messages. Some managed provide short-term improvements in cessation. Yet, these were either static terms of personalization or human-based nonscalable solutions. Additionally, long-term effects neither presented nor assessed combination existing psychopharmacological therapies.This...

This paper describes a high-speed USB2.0 address-event representation (AER) interface that allows simultaneous monitoring and sequencing of precisely timed AER data. low-cost (<$100), two chip, bus powered can achieve sustained event rates 5 megaevents per second (Meps). Several boards be electrically synchronized, allowing synchronized capture from multiple devices. It has three parallel ports, one for sequencing, passing through the monitored events. also host software infrastructure makes...

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This has been focused on controlling DC motor speed, but only using spikes information representation, processing driving. It could be applied to other motors with proper driver adaptation. architecture represents one of the latest layers Spiking Neural Network (SNN), which implements bridge between robotics actuators sensors. The presented control system fuses actuation...

Improving mobility in elderly persons is a primary goal geriatric rehabilitation. Self-regulated exercises with instruction leaflets are used to increase training volume but adherence often low. Exergames may improve adherence. This study therefore compared exergames self-regulated exercise using leaflets. The outcome was Secondary outcomes were enjoyment, motivation and balance during walking. Design: single center parallel group non-blinded randomized controlled trial central stratified...

This paper addresses the problem of converting a conventional video stream based on sequences frames into spike event-based representation known as address-event-representation (AER). In this we concentrate rate-coded AER. The is addressed an algorithmic problem, in which different methods are proposed, implemented and tested through software algorithms. proposed algorithms comparatively evaluated according to criteria. Emphasis put potential such for a) doing frame-based real time, b) that...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> In this paper, a chip that performs real-time image convolutions with programmable kernels of arbitrary shape is presented. The first experimental prototype reduced size to validate the implemented circuits and system level techniques. convolution processing based on address–event-representation (AER) technique, which spike-based biologically inspired video representation technique favors...

This work presents a technique for the resource optimization of input multiplexed ROM-based Finite State Machines. exploits don't care value inputs to reduce memory size as well multiplexer complexity. has been applied publicly available FSM benchmarks and implemented in low-cost FPGA. Results have compared with tools supported ROM standard logic cells implementations. In significant number test cases, proposed is best design alternative, both requirements speed.

This study was conducted to determine the accuracy and usefulness of two current commercially available activity trackers in rollator dependent elderly with reduced mobility (RME), compared normal (NME) healthy adults (HA).

Mobile apps have a great potential to support patients in healthcare, and encourage healthy behavioral changes such as smoking cessation. Nevertheless, the user rejection levels are still high. A set of factors that has impact on app effectiveness is related quality those features lead positive experiences when using app. This work aims evaluate experience, more specifically usability satisfaction with mobile application for will also provide basis future improvements.We provided cessation...

Cervical cancer is caused in the vast majority of cases by human papilloma virus (HPV) through sexual contact and requires a specific molecular-based analysis to be detected. As an HPV vaccine available, incidence cervical up ten times higher areas without adequate healthcare resources. In recent years, liquid cytology has been used overcome these shortcomings perform mass screening. addition, classifiers based on convolutional neural networks can developed help pathologists diagnose...

Investigations were carried out in 122 patients order to identify features of Sjögren9s syndrome (keratoconjunctivitis sicca and xerostomia). There 78 with autoimmune diseases (rheumatoid arthritis 21, scleroderma 16, primary biliary cirrhosis 14, other disorders 11), 11 chronic liver disease than cirrhosis, 33 a variety non-autoimmune conditions or no obvious disease. Keratoconjunctivitis was diagnosed by Schirmer9s test rose bengal staining. The oral component labial biopsy salivary...

Smoking is one of the most avoidable health risk factors, and yet quitting success rates are low. The usage tailored messages to support has been proved increase rates. Technology can provide convenient means deliver messages. Health recommender systems information-filtering algorithms that choose relevant health-related items—for instance, motivational aimed at smoking cessation—for each user based on his or her profile. goals this study analyze perceived quality an mHealth system...

Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback concerning their appreciation of previous health-related messages. However, recommender often not grounded behavioral change theories, which may further increase the effectiveness recommendations. This paper's objective is to describe principles for designing and developing a health system I-Change model that shall be implemented through mobile app smoking cessation support...

Falls are one of the leading causes permanent injury and/or disability among elderly. When these people live alone, it is convenient that a caregiver or family member visits them periodically. However, do not prevent falls when elderly person alone. Furthermore, in exceptional circumstances, such as pandemic, we must avoid unnecessary mobility. This why remote monitoring systems currently on rise, and several commercial solutions can be found. current use devices attached to waist wrist,...

Monkeypox is a smallpox-like disease that was declared global health emergency in July 2022. Because of this resemblance, it not easy to distinguish monkeypox rash from other similar diseases; however, due the novelty disease, there are no widely used databases for purpose with which develop image-based classification algorithms. Therefore, three significant contributions proposed work: first, development publicly available dataset images; second, system based on convolutional neural...

Medical images from different clinics are acquired with instruments and settings. To perform segmentation on these as a cloud-based service we need to train multiple datasets increase the independency source. We also require an efficient fast network. In this work two problems, which essential for many practical medical imaging applications, studied. As network, U-Net has been selected. is class of deep neural networks have shown be effective image segmentation. Many implementations...