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3.
Stud Health Technol Inform ; 273: 97-103, 2020 Sep 04.
Artigo em Inglês | MEDLINE | ID: mdl-33087597

RESUMO

Technological advancements in smart assistive technology enable navigating and manipulating various types of computer-aided devices in the operating room through a contactless gesture interface. Understanding surgeon actions is crucial to natural human-robot interaction in operating room since it means a sort of prediction a human behavior so that the robot can foresee the surgeon's intention, early choose appropriate action and reduce waiting time. In this paper, we present a new deep network based on Convolution Long Short-Term Memory (ConvLSTM) for gesture prediction configured to provide natural interaction between the surgeon and assistive robot and improve operating-room efficiency. The experimental results prove the capability of reliably recognizing unfinished gestures on videos. We quantitatively demonstrate the latter ability and the fact that GestureConvLSTM improves the baseline system performance on LSA64 dataset.


Assuntos
Gestos , Equipamentos de Autoajuda , Computadores , Humanos , Salas Cirúrgicas , Interface Usuário-Computador
4.
Indian J Ophthalmol ; 68(11): 2378-2383, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-33120622

RESUMO

Purpose: Since the declaration of the lockdown due to COVID-19, the usage of digital devices has gone up across the globe, resulting in a challenge for the visual systems of all ages. The purpose of this study is to assess the impact of the lockdown on digital device usage, and consequently, the ocular surface health implications and circadian rhythm abnormalities related to digital eye strain. Methods: An open online survey was sent through various social media platforms and was open for a period of 2 weeks. Results: A total of 407 usable responses were obtained; the average age of respondents was 27.4 years. Typically, 93.6% of respondents reported an increase in their screen time since the lockdown was declared. The average increase in digital device usage was calculated at about 4.8 ± 2.8 h per day. The total usage per day was found to be 8.65 ± 3.74 hours. Sleep disturbances have been reported by 62.4% of people. Typically, 95.8% of respondents had experienced at least one symptom related to digital device usage, and 56.5% said that the frequency and intensity of these symptoms increased since the lockdown was declared. Conclusion: The study highlighted the drastic increase in use of digital devices after the initiation of the COVID-19 lockdown, and along with it, the slow deterioration of ocular health across all age groups. Awareness about prevention of digital eye strain should be stressed, and going forward, measures to bring these adverse effects to a minimum should be explored.


Assuntos
Astenopia/epidemiologia , Betacoronavirus , Computadores , Infecções por Coronavirus/epidemiologia , Pneumonia Viral/epidemiologia , Quarentena/estatística & dados numéricos , Transtornos da Visão/epidemiologia , Adulto , Feminino , Humanos , Índia/epidemiologia , Masculino , Pessoa de Meia-Idade , Pandemias , Assistência ao Paciente , Inquéritos e Questionários , Adulto Jovem
5.
Child Adolesc Ment Health ; 25(4): 267-269, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-33025729

RESUMO

The pandemic is creating unprecedented demand for mental health support for young people. While schools often facilitate mental health support for their students, the demands for online teaching and the uncertainty created by the pandemic make traditional delivery of support through schools challenging. Technology provides a potential way forward. We have developed a digital ecosystem, HABITS, that can be integrated into school and healthcare systems. This has allowed us to deploy specific evidence-based interventions directly, and through schools, to students and to parents in New Zealand during the current pandemic. Chatbot architecture is particularly suited to rapid iteration to provide specific information while apps can provide more generalised support. While technology can provide some solutions, it is important to be aware of the potential to increase current inequities, with those facing the greatest challenges to health and well-being, also least able to afford the resources to access digital interventions. Development of an integrated and equitable digital system will take time and collaboration.


Assuntos
Serviços de Saúde da Criança/organização & administração , Infecções por Coronavirus , Serviços de Saúde Mental/organização & administração , Saúde Mental , Pandemias , Pneumonia Viral , Serviços de Saúde Escolar/organização & administração , Estudantes/psicologia , Adolescente , Criança , Computadores , Ecossistema , Humanos , Nova Zelândia , Telecomunicações
6.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1840-1843, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018358

RESUMO

Chronic wound assessment and wound healing are important for diagnostic, follow up and wound treatment. However, this growing disease affecting nearly 2 thousand million and 5.7 million people in the USA and Europe, costing around $20 billion and $8 thousand million USD per year, still relies on subjective human assessment of wounds. A scoping review allowed us to identify 109 articles that map the literature on the topic of computer vision for chronic wound assessment and healing. These results were carefully analyzed and mapped into relevant clinical challenges associated with this field, identifying the maturity of each different computer vision challenge that needs addressing. Results show that wound size and tissue type classification already have interesting work, but various other clinical areas are in need of larger datasets and computer vision research efforts for achieving a relevant impact in today's clinical routine.


Assuntos
Computadores , Cicatrização , Administração Tópica , Europa (Continente) , Humanos , Exame Físico
7.
Ann Biol Clin (Paris) ; 78(5): 519-526, 2020 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-33026347

RESUMO

Digital morphology hematology analyzers are becoming more prevalent in laboratories Aims: investigate practices and assess the benefits and limits of digital automated microscopy in hematology. METHODS: questionnaire sent by e-mail in 2018 to French public and private laboratories. RESULTS: out of 118 responses (56 private, 62 public), 117 participants had a CellaVision® microscope, 1 had a West Medica®. Practices were sometimes different, especially in the choice of smears to be digitized or for quality controls (16.1% had internal quality controls, 48.3% external quality controls); 62.1% never used the red blood cell (RBC) characterization tool; the number of cells counted varied from 100 to 400. The study reported a high rate of agreement for these benefits: traceability (95.7%), staff training (94.1%), eye strain (91.4%), risk of error (87.2%), time saving (83.6%). Among the disadvantages, apart from the inadequate search for platelets clumps (93.2%), the agreement rates were often lower: adaptation to digital images (61.2%), difficult assessment of atypical morphologies (49.6%) or RBC morphology (49.6%). CONCLUSION: despite well-established benefits, standardization of practices and technical improvement are still needed.


Assuntos
Automação Laboratorial , Testes Hematológicos/instrumentação , Hematologia/instrumentação , Processamento de Imagem Assistida por Computador , Microscopia/instrumentação , Atitude do Pessoal de Saúde , Automação Laboratorial/instrumentação , Automação Laboratorial/métodos , Automação Laboratorial/estatística & dados numéricos , Computadores , Testes Diagnósticos de Rotina/instrumentação , Testes Diagnósticos de Rotina/métodos , Testes Diagnósticos de Rotina/estatística & dados numéricos , Testes Diagnósticos de Rotina/tendências , França/epidemiologia , Testes Hematológicos/métodos , Testes Hematológicos/estatística & dados numéricos , Testes Hematológicos/tendências , Hematologia/métodos , Hematologia/estatística & dados numéricos , Hematologia/tendências , Humanos , Processamento de Imagem Assistida por Computador/instrumentação , Processamento de Imagem Assistida por Computador/métodos , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Processamento de Imagem Assistida por Computador/tendências , Satisfação no Emprego , Microscopia/métodos , Microscopia/estatística & dados numéricos , Microscopia/tendências , Prática Profissional/estatística & dados numéricos , Prática Profissional/tendências , Controle de Qualidade , Inquéritos e Questionários
8.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 1156-1159, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018192

RESUMO

Detection, diagnosis, and removal of colorectal neoplasms are well-accepted colorectal cancer prevention methods. Although promising endoscopic imaging techniques including narrow-band imaging have been developed, these techniques are operator-dependent and interpretations of the results may vary. To overcome these limitations, we applied deep learning to develop a computer-aided diagnostic (CAD) system of colorectal adenoma. We collected and divided 3000 colonoscopic images into 4 categories according to the final pathology, normal, low-grade dysplasia, high-grade dysplasia, and adenocarcinoma. We implemented three convolutional neural networks (CNNs) using Inception-v3, ResNet-50, and DenseNet-161 as baseline models. We further altered the models using several strategies: replacement of the top layer, transfer learning from pre-trained models, fine-tuning of the model weights, rebalancing and augmentation of the training data, and 10-fold cross-validation. We compared the outcomes of the three CNN models to those of two endoscopist groups having different years of experience, and visualized the model predictions using Class Activation Mapping (CAM). The CNN-CAD achieved the best performance in our experiments with a 92.48% classification accuracy rate. The CNN-CAD results showed a better performance in all criteria than those of endoscopic experts. The model visualization results showed reasonable regions of interest to explain pathology classification decisions. We demonstrated that CNN-CAD can distinguish the pathology of colorectal adenoma, yielding better outcomes than the endoscopic experts group.


Assuntos
Neoplasias Colorretais , Aprendizado Profundo , Colonoscopia , Neoplasias Colorretais/diagnóstico , Computadores , Humanos , Redes Neurais de Computação
9.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 3489-3492, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018755

RESUMO

In this paper a new compression technique based on the discrete Tchebichef transform is presented. To comply with strict on-implant hardware implementation requirements, such as low power dissipation and small silicon area consumption, the discrete Tchebichef transform is modified and truncated. An algorithm is proposed to generate approximate transform matrices capable of truncation without suffering from destructive energy leakage among the coefficients. This is achieved by preserving orthogonality of the basis functions that convey majority portion of the signal energy. Based on the presented algorithm, a new truncated transformation matrix is proposed, which reduces the hardware complexity by up to 74% compared to that of the original transform. Hardware implementation of the proposed neural signal compression technique is prototyped using standard digital hardware. With pre-recorded neural signals as the input, compression rate of 26.15 is achieved while the root-mean-square of error is kept as low as 1.1%.Clinical Relevance- This paper proposes a technique for data compression in high-density neural recording brain implants, along with a power- and area-efficient hardware implementation. From among clinical applications of such implants one can point to neuro-prostheses, and brain-machine interfaces for therapeutic purposes.


Assuntos
Interfaces Cérebro-Computador , Compressão de Dados , Algoritmos , Computadores , Registros
10.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 4046-4050, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33018887

RESUMO

In general, the signal chain in modern mobile Brain-Computer Interfaces (BCIs) is subdivided into at least two blocks. These are usually wirelessly connected with digital signal processing part implemented separately and often stationary. This causes a limited mobility and results in an additional, although avoidable, latency due to the wireless transmission channel. Therefore, a novel, entirely mobile FPGA-based platform for BCIs has been designed and implemented. While featuring highly efficient adaptability to targeted algorithms due to the ultra low power Flash-based FPGA, the stackable system design and the configurable hardware ensure flexibility for the use in different application scenarios. Powered through a single Li-ion battery, the miniaturized system area of half the size of a credit card leads to high mobility and thus allow for real-world scenario applicability. A Bluetooth Low Energy extension can be connected without any significant area cost, if a wireless data or control signal transmission channel is required. The resulting system is capable of acquiring and fully processing of up to 32 EEG channels with 24 bit precision each and a sampling rate of 250-16k samples per second with a total weight less than 60 g.


Assuntos
Interfaces Cérebro-Computador , Algoritmos , Computadores , Fontes de Energia Elétrica , Processamento de Sinais Assistido por Computador
11.
PLoS One ; 15(9): e0238458, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32911507

RESUMO

BACKGROUND: Western dietary habits, coupled with a sedentary lifestyle, are potential contributors to the prevalence and rapid increase in the incidence of obesity in Saudi Arabia. This study aimed to investigate the association between students' weight status and their eating behaviors and practices. Another aim was to assess students' awareness of the health risks associated with obesity. METHODS: A cross-sectional survey was conducted among a sample of 416 (53% male and 47% female) undergraduate students, aged 18-26 years old, between January 6 and April 6, 2019, from colleges of Health Sciences at Jazan University in the Kingdom of Saudi Arabia (K.S.A). Students completed a self-administered questionnaire and recorded their measured anthropometric parameters. RESULTS: The prevalence of overweight (20.4%) and obesity (14.9%) were relatively high among the participants. There were statistically significant associations between Body Mass Index (BMI) and the different settings of food consumption (i.e., dining on a table (or) in the Islamic way: squatting on the ground) (p<0.001)). BMI was also associated with students' dietary habits regarding consuming food, snacks, and drinking carbonated beverages while watching television (p<0.001), as well as consuming the same pattern of food/drink while watching television, playing video games on mobile phones or computers (p<0.001). Nearly most of the students were oblivious to the fact that metabolic syndrome, reproductive disorders, respiratory disorders along with liver and gallbladder diseases are some of the health risks associated with obesity. CONCLUSION: The prevalence of obesity and overweight were reasonably high in our study sample and were affected by several factors related to students' eating behaviors and practices. This warrants the need for rigorous and frequent health education interventions on healthy eating behaviors, dietary practices, with an emphasis on the importance of adopting an active, healthy lifestyle.


Assuntos
Comportamento Alimentar/psicologia , Obesidade/psicologia , Estudantes/psicologia , Adolescente , Adulto , Índice de Massa Corporal , Computadores , Estudos Transversais , Dieta/estatística & dados numéricos , Feminino , Educação em Saúde , Humanos , Incidência , Masculino , Obesidade/epidemiologia , Sobrepeso/epidemiologia , Prevalência , Arábia Saudita/epidemiologia , Comportamento Sedentário , Estudantes/estatística & dados numéricos , Inquéritos e Questionários , Televisão , Universidades , Adulto Jovem
12.
PLoS One ; 15(9): e0238480, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32960888

RESUMO

This study presents the design and implementation of a home automation system that focuses on the use of ordinary electrical appliances for remote control using Raspberry Pi and relay circuits and does not use expensive IP-based devices. Common Lights, Heating, Ventilation, and Air Conditioning (HVAC), fans, and other electronic devices are among the appliances that can be used in this system. A smartphone app is designed that helps the user to design the smart home to his actual home via easy and interactive drag & drop option. The system provides control over the appliances via both the local network and remote access. Data logging over the Microsoft Azure cloud database ensures system recovery in case of gateway failure and data record for lateral use. Periodical notifications also help the user to optimize the usage of home appliances. Moreover, the user can set his preferences and the appliances are auto turned off and on to meet user-specific requirements. Raspberry Pi acting as the server maintains the database of each appliance. HTTP web interface and apache server are used for communication between the android app and raspberry pi. With a 5v relay circuit and micro-processor Raspberry Pi, the proposed system is low-cost, energy-efficient, easy to operate, and affordable for low-income houses.


Assuntos
Automação/instrumentação , Automação/métodos , Ar Condicionado , Computadores , Equipamentos e Provisões Elétricas , Eletricidade , Humanos , Smartphone , Software
13.
PLoS One ; 15(9): e0239322, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32946504

RESUMO

Measuring body image is crucial at both personal and social levels. Previous studies have attempted to quantitatively measure body image but methods for measuring body change recognition over time have not yet been established. The present study proposes a novel human-computer interaction technique using dynamic morphing and body ownership illusion, and we conducted a user study to investigate how body ownership illusion and gender would affect to body change recognition. The results showed that a participant's body change recognition was weak when the body ownership illusion was strong. In addition, female participants were less sensitive than male participants. With our proposed technique, we demonstrated that we were able to quantitatively measure body change recognition and our empirical data indicated that body change recognition varied depending on body ownership illusion and gender, suggesting that our methodology could not only be used in future body image studies but also in eating disorder treatments.


Assuntos
Imagem Corporal/psicologia , Computadores , Ilusões/psicologia , Reconhecimento Psicológico , Feminino , Humanos , Masculino , Adulto Jovem
14.
Work ; 66(4): 739-749, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32925135

RESUMO

BACKGROUND: Prolonged home stays due to the COVID-19 quarantine can increase the use of computers and other technologies that may lead to significant reduction in activity, contributing to musculoskeletal problems, anxiety and depression. OBJECTIVE: The aim of this study was to develop a novel multicomponent exercise program for individuals who work with computers during the COVID-19 quarantine. METHODS: Researchers collaborating cross-institutionally and cross-nationally performed a careful literature search for exercise and stretching regiments with particular attention to methodologies that can be applied during the lockdown in the wake of the COVID-19 pandemic. Methodologies were then compiled and truncated for ease of use for the computer-based office worker during the COVID-19 pandemic quarantine. RESULTS: The resulting program is broken down into three categories: aerobic, strengthening and stretching components. Each component can then be further modified to meet the frequency, intensity, time and type (FITT) specifications for the participant. CONCLUSIONS: We present a novel, evidence-based strategy for functional fitness for office workers who have remained home-bound during the COVID-19 pandemic quarantine. Further research should seek to validate the efficacy of the proposed protocol.


Assuntos
Infecções por Coronavirus/prevenção & controle , Exercício Físico/fisiologia , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Quarentena/normas , Comportamento Sedentário , Telecomunicações , Betacoronavirus/patogenicidade , Computadores , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/transmissão , Infecções por Coronavirus/virologia , Humanos , Pneumonia Viral/epidemiologia , Pneumonia Viral/transmissão , Pneumonia Viral/virologia
15.
Stud Health Technol Inform ; 274: 159-173, 2020 Sep 25.
Artigo em Inglês | MEDLINE | ID: mdl-32990672

RESUMO

Hospital information systems (HIS) have to be considered as socio-technical systems, which consist of technical components as well as of the human aspect like hospital staff and patients. HIS strive for the optimization of information logistics, to support tasks like patient care and administration of a hospital. To systematically manage such complex systems, HIS can be analyzed on three layers: First, tasks and entity types should be considered. Entity types represent information which is used and updated by tasks like 'Patient Admission' or 'Decision Making'. Second, application components of a HIS should be analyzed, they can be either computer-based or paper-based; both of them support tasks from the first layer. Therefore, they store and exchange information. The third layer analyzes physical data processing components of a HIS, like servers, workstations or networks. The three-layered view can be used for the systematic information management of HIS on three perspectives: strategic information management plans the development of the whole HIS for the next 5 years and longer. Measures from strategic information management are implemented as projects, coordinated by the tactical information management. The operational information management ensures a continuous and reliable operation of the HIS.


Assuntos
Sistemas de Informação Hospitalar , Sistemas de Informação Administrativa , Computadores , Hospitais , Humanos , Gestão da Informação
16.
BMC Bioinformatics ; 21(Suppl 13): 390, 2020 Sep 17.
Artigo em Inglês | MEDLINE | ID: mdl-32938391

RESUMO

BACKGROUND: Advances in mobile sequencing devices and laptop performance make metagenomic sequencing and analysis in the field a technologically feasible prospect. However, metagenomic analysis pipelines are usually designed to run on servers and in the cloud. RESULTS: MAIRA is a new standalone program for interactive taxonomic and functional analysis of long read metagenomic sequencing data on a laptop, without requiring external resources. The program performs fast, online, genus-level analysis, and on-demand, detailed taxonomic and functional analysis. It uses two levels of frame-shift-aware alignment of DNA reads against protein reference sequences, and then performs detailed analysis using a protein synteny graph. CONCLUSIONS: We envision this software being used by researchers in the field, when access to servers or cloud facilities is difficult, or by individuals that do not routinely access such facilities, such as medical researchers, crop scientists, or teachers.


Assuntos
Classificação/métodos , Computadores/normas , Metagenômica/métodos , Humanos
18.
PLoS One ; 15(9): e0239256, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32941531

RESUMO

The principal questions this research will address are: 1) whether a higher propensity to visit websites of interest to actual or nascent entrepreneurs is associated with higher rates of new firms births in an area; 2) whether a higher propensity to visit websites of interest to those working on design problems is associated with the quality of business in terms of orientations toward design or innovation; and 3) whether a higher propensity to visit websites of interest to those pursuing arts as an avocation is associated with an increased ability to find nonobvious solutions that might be manifest in business quality. The unique data that allow examining these questions were compiled from billions of web hits by geo-located devices. These data are combined with both detailed establishment level data with reliable information on the innovation and design orientation of firms, and a longitudinal census of all establishments with a formal credit relationship in the U.S. The findings confirm that businesses located in areas with a high propensity to visit design and arts avocation websites are more likely to pursue more far ranging innovation and are more likely to integrate design into their innovation processes. Firm birth rates are higher in areas with a high propensity to visit websites of interest to entrepreneurs, and the existence of high growth firms is strongly associated with demonstrated interest in design and arts avocation websites. The possible uses of these nontraditional measures as indicators of economic dynamism are discussed.


Assuntos
Desenvolvimento Econômico/estatística & dados numéricos , Contrato de Risco/estatística & dados numéricos , Internet/estatística & dados numéricos , Invenções/estatística & dados numéricos , Computadores/estatística & dados numéricos , Utilização de Equipamentos e Suprimentos/estatística & dados numéricos , Humanos , Análise Espaço-Temporal , Estados Unidos
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