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1.
Nat Commun ; 12(1): 2950, 2021 05 19.
Artigo em Inglês | MEDLINE | ID: mdl-34011979

RESUMO

Human motions, such as joint/spinal bending or stretching, often contain information that is useful for orthopedic/neural disease diagnosis, rehabilitation, and prevention. Here, we show a badge-reel-like stretch sensing device with a grating-structured triboelectric nanogenerator exhibiting a stretching sensitivity of 8 V mm-1, a minimum resolution of 0.6 mm, a low hysteresis, and a high durability (over 120 thousand cycles). Experimental and theoretical investigations are performed to define the key features of the device. Studies from human natural daily activities and exercise demonstrate the functionality of the sensor for real-time recording of knee/arm bending, neck/waist twisting, and so on. We also used the device in a spinal laboratory, monitoring human subjects' spine motions, and validated the measurements using the commercial inclinometer and hunchback instrument. We anticipate that the lightweight, precise and durable stretch sensor applied to spinal monitoring could help mitigate the risk of long-term abnormal postural habits induced diseases.


Assuntos
Articulações/fisiologia , Amplitude de Movimento Articular/fisiologia , Coluna Vertebral/fisiologia , Dispositivos Eletrônicos Vestíveis , Sistemas Computacionais , Desenho de Equipamento , Humanos , Cifose/diagnóstico , Cifose/fisiopatologia , Sistemas Microeletromecânicos/instrumentação , Monitorização Fisiológica/instrumentação , Movimento/fisiologia , Postura/fisiologia
3.
Stud Health Technol Inform ; 281: 367-371, 2021 May 27.
Artigo em Inglês | MEDLINE | ID: mdl-34042767

RESUMO

This paper describes the development and evaluation of a Canadian drug ontology (OCRx), built to provide a normalized and standardized description of drugs that are authorized to be marketed in Canada. OCRx aims to improve the usability and interoperability of drugs terminologies for a non-ambiguous access to drugs information that is available in electronic health record systems. We present the first release of OCRx that is described in Web Ontology Language and aligned to the Identification of Medicinal Product (IDMP) standards. For comparison purposes, OCRx is mapped to RxNorm, its US variant.


Assuntos
Preparações Farmacêuticas , RxNorm , Canadá , Sistemas Computacionais , Vocabulário Controlado
4.
Stud Health Technol Inform ; 281: 1089-1090, 2021 May 27.
Artigo em Inglês | MEDLINE | ID: mdl-34042851

RESUMO

Clinical Decision Support Systems (CDSS) could play a prominent role in preventing Adverse Drug Reactions (ADRs) especially when integrated in larger healthcare systems (e.g. Electronic Health Record - EHR systems, Hospital Management Systems - HMS, e-Prescription systems etc.). This poster presents an approach to model Therapeutic Prescription Protocols (TPPs) via the Business Process Management Notation (BPMN), as part of the e-Prescription CDSS developed in the context of the PrescIT project.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos , Sistemas Computacionais , Atenção à Saúde , Humanos , Prescrições
5.
Sensors (Basel) ; 21(7)2021 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-33915798

RESUMO

Human-robot collaboration is becoming ever more widespread in industry because of its adaptability. Conventional safety elements are used when converting a workplace into a collaborative one, although new technologies are becoming more widespread. This work proposes a safe robotic workplace that can adapt its operation and speed depending on the surrounding stimuli. The benefit lies in its use of promising technologies that combine safety and collaboration. Using a depth camera operating on the passive stereo principle, safety zones are created around the robotic workplace, while objects moving around the workplace are identified, including their distance from the robotic system. Passive stereo employs two colour streams that enable distance computation based on pixel shift. The colour stream is also used in the human identification process. Human identification is achieved using the Histogram of Oriented Gradients, pre-learned precisely for this purpose. The workplace also features autonomous trolleys for material supply. Unequivocal trolley identification is achieved using a real-time location system through tags placed on each trolley. The robotic workplace's speed and the halting of its work depend on the positions of objects within safety zones. The entry of a trolley with an exception to a safety zone does not affect the workplace speed. This work simulates individual scenarios that may occur at a robotic workplace with an emphasis on compliance with safety measures. The novelty lies in the integration of a real-time location system into a vision-based safety system, which are not new technologies by themselves, but their interconnection to achieve exception handling in order to reduce downtimes in the collaborative robotic system is innovative.


Assuntos
Robótica , Sistemas Computacionais , Humanos , Indústrias , Local de Trabalho
7.
Accid Anal Prev ; 153: 106034, 2021 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-33647597

RESUMO

Single-vehicle crashes are more fatality-concentrated and have posed increasing challenges in traffic safety, which is of great research necessity. Tremendous previous studies have conducted relevant analysis with econometric modeling approaches, whereas the ability of non-parametric methods to predict crash severity is still smattering of knowledge. Consequently, the main objective of this paper is to conduct single-vehicle crash severity prediction with different tree-based and non-parameter models. An alternate aim is to identify the intrinsic mechanism of how contributing factors determine single-vehicle crash severity. By virtue of Grid-Search method, this paper conducted fine-tuning of different models to obtain the best performances based on five crash severity sub-datasets. For model evaluation, the accuracy indicators were calculated in training, validation and test sets, respectively. Besides, feature importance extraction was undertaken based on the results of model comparison. The finding indicated that these models didn't exhibit a huge performance difference for crash severity prediction in the same severity level; however, the performances of the models did vary among different datasets, with an average training accuracy of 99.27 %, 96.4 %, 86.98 %, 86.84 %, 71.76 % in fatal injury, severe injury, visible injury, complaint of pain, PDO crash datasets, respectively. Additionally, it was found that in each severity dataset, the indicator urban freeways is a determinant factor that leads to the occurrence of crashes while rural freeways is more related to more severe crashes (i.e., fatal and severe crashes). This paper can provide valuable information for model selection and tuning in accident severity prediction. Future research could consider the influences that temporal instability of contributing features has on the model performances.


Assuntos
Acidentes de Trânsito , Ferimentos e Lesões , Sistemas Computacionais , Humanos , Modelos Logísticos , Projetos de Pesquisa , População Rural
8.
Math Biosci Eng ; 18(2): 1513-1528, 2021 01 28.
Artigo em Inglês | MEDLINE | ID: mdl-33757196

RESUMO

The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical domains. In the COVID-19 era, intelligent medication behavior monitoring systems for stable patient monitoring are further required, because many patients cannot easily visit hospitals. Several previous studies made use of wearable devices to detect medication behaviors of patients. However, the wearable devices cause inconvenience while equipping the devices. In addition, they suffer from inconsistency problems due to errors of measured values. We devise a medication behavior monitoring system that uses the IoT and deep learning to avoid sensing errors and improve user experiences by effectively detecting various activities of patients. Based on the real-time operation of our proposed IoT device, the proposed solution processes captured images of patents via OpenPose to check medication situations. The proposed system identifies medication status on time by using a human activity recognition scheme and provides various notifications to patients' mobile devices. To support reliable communication between our system and doctors, we employ MQTT protocol with periodic data transmissions. Thus, the measured information of patient's medication status is transmitted to the doctors so that they can periodically perform remote treatments. Experimental results show that all medication behaviors are accurately detected and notified to the doctor efficiently, improving the accuracy of monitoring the patient's medication behavior.


Assuntos
COVID-19/tratamento farmacológico , Aprendizado Profundo , Adesão à Medicação , Monitorização Fisiológica/métodos , SARS-CoV-2 , Engenharia Biomédica , Sistemas Computacionais , Terapia Diretamente Observada , Desenho de Equipamento , Humanos , Internet das Coisas , Adesão à Medicação/psicologia , Adesão à Medicação/estatística & dados numéricos , Monitorização Fisiológica/instrumentação , Monitorização Fisiológica/estatística & dados numéricos , Redes Neurais de Computação , Pandemias , Software , Dispositivos Eletrônicos Vestíveis
9.
J Vis Exp ; (168)2021 02 20.
Artigo em Inglês | MEDLINE | ID: mdl-33682860

RESUMO

Methods for virus particle quantification represent a critical aspect of many virology studies. Although several reliable techniques exist, they are either time-consuming or unable to detect small variations. Presented here is a protocol for the precise quantification of viral titer by analyzing electrical impedance variations of infected cells in real-time. Cellular impedance is measured through gold microelectrode biosensors located under the cells in microplates, in which magnitude depends on the number of cells as well as their size and shape. This protocol allows real-time analysis of cell proliferation, viability, morphology and migration with enhanced sensitivity. Also provided is an example of a practical application by quantifying the decay of influenza A virus (IAV) submitted to various physicochemical parameters affecting viral infectivity over time (i.e., temperature, salinity, and pH). For such applications, the protocol reduces the workload needed while also generating precise quantification data of infectious virus particles. It allows the comparison of inactivation slopes among different IAV, which reflects their capacity to persist in given environment. This protocol is easy to perform, is highly reproducible, and can be applied to any virus producing cytopathic effects in cell culture.


Assuntos
Sistemas Computacionais , Vírus da Influenza A/fisiologia , Viabilidade Microbiana , Animais , Cães , Glicoproteínas de Hemaglutininação de Vírus da Influenza/genética , Vírus da Influenza A/genética , Vírus da Influenza A/patogenicidade , Cinética , Modelos Lineares , Células Madin Darby de Rim Canino , Mutação/genética , Carga Viral , Inativação de Vírus
10.
Biosens Bioelectron ; 181: 113160, 2021 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-33740542

RESUMO

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading around the globe since December 2019. There is an urgent need to develop sensitive and online methods for on-site diagnosing and monitoring of suspected COVID-19 patients. With the huge development of Internet of Things (IoT), the impact of Internet of Medical Things (IoMT) provides an impressive solution to this problem. In this paper, we proposed a 5G-enabled fluorescence sensor for quantitative detection of spike protein and nucleocapsid protein of SARS-CoV-2 by using mesoporous silica encapsulated up-conversion nanoparticles (UCNPs@mSiO2) labeled lateral flow immunoassay (LFIA). The sensor can detect spike protein (SP) with a detection of limit (LOD) 1.6 ng/mL and nucleocapsid protein (NP) with an LOD of 2.2 ng/mL. The feasibility of the sensor in clinical use was further demonstrated by utilizing virus culture as real clinical samples. Moreover, the proposed fluorescence sensor is IoMT enabled, which is accessible to edge hardware devices (personal computers, 5G smartphones, IPTV, etc.) through Bluetooth. Medical data can be transmitted to the fog layer of the network and 5G cloud server with ultra-low latency and high reliably for edge computing and big data analysis. Furthermore, a COVID-19 monitoring module working with the proposed the system is developed on a smartphone application (App), which endows patients and their families to record their medical data and daily conditions remotely, releasing the burdens of going to central hospitals. We believe that the proposed system will be highly practical in the future treatment and prevention of COVID-19 and other mass infectious diseases.


Assuntos
Técnicas Biossensoriais , COVID-19/diagnóstico , Sistemas Computacionais , Imunoensaio , Fluorescência , Humanos , Prognóstico , SARS-CoV-2
11.
Int J Health Geogr ; 20(1): 14, 2021 03 20.
Artigo em Inglês | MEDLINE | ID: mdl-33743719

RESUMO

BACKGROUND: We introduce and study a recently proposed method for privacy-preserving distance computations which has received little attention in the scientific literature so far. The method, which is based on intersecting sets of randomly labeled grid points, is henceforth denoted as ISGP allows calculating the approximate distances between masked spatial data. Coordinates are replaced by sets of hash values. The method allows the computation of distances between locations L when the locations at different points in time t are not known simultaneously. The distance between [Formula: see text] and [Formula: see text] could be computed even when [Formula: see text] does not exist at [Formula: see text] and [Formula: see text] has been deleted at [Formula: see text]. An example would be patients from a medical data set and locations of later hospitalizations. ISGP is a new tool for privacy-preserving data handling of geo-referenced data sets in general. Furthermore, this technique can be used to include geographical identifiers as additional information for privacy-preserving record-linkage. To show that the technique can be implemented in most high-level programming languages with a few lines of code, a complete implementation within the statistical programming language R is given. The properties of the method are explored using simulations based on large-scale real-world data of hospitals ([Formula: see text]) and residential locations ([Formula: see text]). The method has already been used in a real-world application. RESULTS: ISGP yields very accurate results. Our simulation study showed that-with appropriately chosen parameters - 99 % accuracy in the approximated distances is achieved. CONCLUSION: We discussed a new method for privacy-preserving distance computations in microdata. The method is highly accurate, fast, has low computational burden, and does not require excessive storage.


Assuntos
Sistemas Computacionais , Privacidade , Simulação por Computador , Humanos
12.
Anal Chem ; 93(6): 3181-3188, 2021 02 16.
Artigo em Inglês | MEDLINE | ID: mdl-33543619

RESUMO

Optimization of engineered biological systems requires precise control over the rates and timing of gene expression. Optogenetics is used to dynamically control gene expression as an alternative to conventional chemical-based methods since it provides a more convenient interface between digital control software and microbial culture. Here, we describe the construction of a real-time optogenetics platform, which performs closed-loop control over the CcaR-CcaS two-plasmid system in Escherichia coli. We showed the first model-based design approach by constructing a nonlinear representation of the CcaR-CcaS system, tuned the model through open-loop experimentation to capture the experimental behavior, and applied the model in silico to inform the necessary changes to build a closed-loop optogenetic control system. Our system periodically induces and represses the CcaR-CcaS system while recording optical density and fluorescence using image processing techniques. We highlight the facile nature of constructing our system and how our model-based design approach will potentially be used to model other systems requiring closed-loop optogenetic control.


Assuntos
Sistemas Computacionais , Optogenética , Escherichia coli/genética , Expressão Gênica , Software
13.
Nat Commun ; 12(1): 1058, 2021 02 16.
Artigo em Inglês | MEDLINE | ID: mdl-33594046

RESUMO

Coronavirus disease 2019 (COVID-19) is a respiratory disease with rapid human-to-human transmission caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to the exponential growth of infections, identifying patients with the highest mortality risk early is critical to enable effective intervention and prioritisation of care. Here, we present the COVID-19 early warning system (CovEWS), a risk scoring system for assessing COVID-19 related mortality risk that we developed using data amounting to a total of over 2863 years of observation time from a cohort of 66 430 patients seen at over 69 healthcare institutions. On an external cohort of 5005 patients, CovEWS predicts mortality from 78.8% (95% confidence interval [CI]: 76.0, 84.7%) to 69.4% (95% CI: 57.6, 75.2%) specificity at sensitivities greater than 95% between, respectively, 1 and 192 h prior to mortality events. CovEWS could enable earlier intervention, and may therefore help in preventing or mitigating COVID-19 related mortality.


Assuntos
COVID-19/mortalidade , Sistemas Computacionais , Registros Eletrônicos de Saúde , Escore de Alerta Precoce , Humanos , Escores de Disfunção Orgânica , SARS-CoV-2/fisiologia , Análise de Sobrevida , Fatores de Tempo
15.
Lancet Neurol ; 20(3): 203-212, 2021 03.
Artigo em Inglês | MEDLINE | ID: mdl-33609478

RESUMO

BACKGROUND: Isolated rapid-eye-movement (REM) sleep behaviour disorder (IRBD) can be part of the prodromal stage of the α-synucleinopathies Parkinson's disease and dementia with Lewy bodies. Real-time quaking-induced conversion (RT-QuIC) analysis of CSF has high sensitivity and specificity for the detection of misfolded α-synuclein in patients with Parkinson's disease and dementia with Lewy bodies. We investigated whether RT-QuIC could detect α-synuclein in the CSF of patients with IRBD and be used as a biomarker of prodromal α-synucleinopathy. METHODS: In this longitudinal observational study, CSF samples were obtained by lumbar puncture from patients with video polysomnography-confirmed IRBD recruited at a specialised sleep disorders centre in Barcelona, Spain, and from controls free of neurological disease. CSF samples were stored until analysed using RT-QuIC. After lumbar puncture, participants were assessed clinically for neurological status every 3-12 months. Rates of neurological disease-free survival were estimated using the Kaplan-Meier method. Disease-free survival rates were assessed from the date of lumbar puncture to the date of diagnosis of any neurodegenerative disease, or to the last follow-up visit for censored observations. FINDINGS: 52 patients with IRBD and 40 healthy controls matched for age (p=0·20), sex (p=0·15), and duration of follow-up (p=0·27) underwent lumbar puncture between March 23, 2008, and July 16, 2017. The CSF α-synuclein RT-QuIC assay was positive in 47 (90%) patients with IRBD and in four (10%) controls, resulting in a sensitivity of 90·4% (95% CI 79·4-95·8) and a specificity of 90·0% (95% CI 76·9-96·0). Mean follow-up from lumbar puncture until the end of the study (July 31, 2020) was 7·1 years (SD 2·8) in patients with IRBD and 7·7 years (2·9) in controls. During follow-up, 32 (62%) patients were diagnosed with Parkinson's disease or dementia with Lewy bodies a mean 3·4 years (SD 2·6) after lumbar puncture, of whom 31 (97%) were α-synuclein positive at baseline. Kaplan-Meier analysis showed that patients with IRBD who were α-synuclein negative had lower risk for developing Parkinson's disease or dementia with Lewy bodies at 2, 4, 6, 8, and 10 years of follow-up than patients with IRBD who were α-synuclein positive (log-rank test p=0·028; hazard ratio 0·143, 95% CI 0·019-1·063). During follow-up, none of the controls developed an α-synucleinopathy. Kaplan-Meier analysis showed that participants who were α-synuclein negative (ie, five patients with IRBD plus 36 controls) had lower risk of developing Parkinson's disease or dementia with Lewy bodies at 2, 4, 6, 8 and 10 years after lumbar puncture than participants who were α-synuclein positive (ie, 47 patients with IRBD plus four controls; log-rank test p<0·0001; hazard ratio 0·024, 95% CI 0·003-0·177). INTERPRETATION: In patients with IRBD, RT-QuIC detects misfolded α-synuclein in the CSF with both sensitivity and specificity of 90%, and α-synuclein positivity was associated with increased risk of subsequent diagnosis of Parkinson's disease or dementia with Lewy bodies. Detection of α-synuclein in the CSF represents a potential prodromal marker of Parkinson's disease and dementia with Lewy bodies. If these findings are replicated in additional cohorts, detection of CSF α-synuclein by RT-QuIC could be used to enrich IRBD cohorts in neuroprotective trials, particularly when assessing interventions that target α-synuclein. FUNDING: Department of Health and Social Care Policy Research Programme, the Scottish Government, and the Weston Brain Institute.


Assuntos
Transtorno do Comportamento do Sono REM/líquido cefalorraquidiano , alfa-Sinucleína/líquido cefalorraquidiano , Idoso , Sistemas Computacionais , Progressão da Doença , Intervalo Livre de Doença , Feminino , Humanos , Estimativa de Kaplan-Meier , Doença por Corpos de Lewy/etiologia , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Doença de Parkinson/etiologia , Polissonografia , Sintomas Prodrômicos , Transtorno do Comportamento do Sono REM/complicações , Medição de Risco , Sensibilidade e Especificidade , Punção Espinal
16.
Biochem Biophys Res Commun ; 545: 14-19, 2021 03 19.
Artigo em Inglês | MEDLINE | ID: mdl-33529805

RESUMO

Paneth cells and Lgr5+ intestinal stem cells (Lgr5+ ISCs) constitute the stem cell niche and maintain small intestinal epithelial integrity by recognizing various niche factors derived from subepithelial cells and external antigens. Although it has been known that interferon-γ (IFN-γ), a Th1 cytokine, is associated with intestinal epithelial disruption during inflammation as a niche factor, dynamics of Paneth cells and Lgr5+ ISCs in response to IFN-γ remain to be understood. Here we show that CAG-tdTomato;Lgr5-EGFP (CT-LE) mice generated in this study enable to identify Paneth cells and Lgr5+ ISCs separately by fluorescence signals. Lgr5+ ISCs underwent cell death a little earlier than Paneth cells in response to IFN-γ by simultaneous tracking using CT-LE mice. In addition, the timing of cell death in most Paneth cells overlapped with Lgr5+ ISCs, suggesting that Paneth cell depletion is induced directly by IFN-γ. Taken together, we established a novel simultaneous stem cell niche tracking method and clarified the involvement of both Paneth cells and Lgr5+ ISCs in stem cell niche damage induced by IFN-γ, further contribute to understanding the mechanism for maintaining intestinal homeostasis by stem cell niche.


Assuntos
Interferon gama/farmacologia , Mucosa Intestinal/efeitos dos fármacos , Mucosa Intestinal/patologia , Celulas de Paneth/efeitos dos fármacos , Celulas de Paneth/patologia , Células-Tronco/efeitos dos fármacos , Células-Tronco/patologia , Animais , Morte Celular/efeitos dos fármacos , Morte Celular/fisiologia , Sistemas Computacionais , Homeostase/efeitos dos fármacos , Homeostase/fisiologia , Interferon gama/fisiologia , Mucosa Intestinal/fisiologia , Camundongos , Camundongos Transgênicos , Celulas de Paneth/fisiologia , Receptores Acoplados a Proteínas G/metabolismo , Receptores de Interferon/metabolismo , Nicho de Células-Tronco/efeitos dos fármacos , Nicho de Células-Tronco/fisiologia , Células-Tronco/fisiologia
17.
J Contam Hydrol ; 238: 103772, 2021 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-33545531

RESUMO

The Horizontal Reactive Media Treatment Well (HRX Well®) is a technology capable of collecting and treating groundwater passively. To monitor the internal flow rate, ensuring it remains at an acceptable level and maintains the desired capture zone size in the aquifer, Point Velocity Probes (PVPs) were adapted for the task. The modified PVP was assessed for its performance in a mock-HRX Well setting, which consisted of a laboratory sand column, similar in diameter to the HRX Well cartridges that would house the PVP in the field, with flow directed along the longitudinal axis of the probe. Experiments were conducted to assess 1) the effects of friction between the fluid and the probe surface, which could bias a velocity measurement low, and 2) the effect of gas in the porous medium, potentially generated by some reactive media, on PVP signals and measurements of velocity. It was determined that PVP length exerted no discernable effect on the quality of the PVP performance. However, the effects of gas in the porous medium were varied. Compared to velocity estimates assuming a fully saturated porous medium, the bias to velocity measurements was negative if gas was limited to locations near a PVP's injection-detection array, such as might occur by inadvertent bubble injection during the tracer pulses. The bias was positive if the gas was generated uniformly throughout the porous medium, such as might occur in a reactive porous medium like granular iron, or one featuring vigorous biological activity. A field trial of the HRX Well was subsequently undertaken with internal PVPs. The PVPs identified a missing seal that was later retrofit, and documented flow in the HRX Well at velocities in the range of 1.3 to 4.0 m/d, which compared well with expectations based on a site model that predicted velocities of 1.3 to 2.3 m/d. The results of this study demonstrate that HRX Wells perform hydraulically as designed, and that PVPs are effective devices for tracking flow rates within them in near real-time.


Assuntos
Água Subterrânea , Poços de Água , Sistemas Computacionais , Ferro , Porosidade
18.
J Electromyogr Kinesiol ; 57: 102533, 2021 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-33621756

RESUMO

Precision of trunk movement has commonly been examined by testing relocation accuracy rather than evaluating accuracy of tracking dynamic movement. In this study we used a 3-D motion capture system to provide a novel real-time tracking task to assess trunk motor control at varying movement speeds between people with and without chronic non-specific low back pain (LBP). Eleven asymptomatic volunteers and 15 participants with chronic non-specific LBP performed 12 continuous cycles of trunk flexion-extension following real time visual feedback, during which, trunk motion was measured using eight optoelectronic infrared cameras. Significant time differences between the feedback and actual trunk motion were found between groups (P = 0.001). Both groups had similar variability of tracking accuracy when following the feedback (P > 0.05). However, tracking variability at a slow speed correlated (P = 0.03; r = 0.55) with the Fear-Avoidance Beliefs Questionnaire (FABQ) scores in those with LBP. This study shows that both asymptomatic people and individuals with LBP displayed anticipatory behaviour, however, the response of those with LBP was consistently delayed in tracking the visual feedback compared to the asymptomatic group. Additionally, the extent of variability of tracking accuracy over repeated tracking cycles was associated with the degree of fear of movement in people with LBP.


Assuntos
Fenômenos Biomecânicos/fisiologia , Sistemas Computacionais , Eletromiografia/métodos , Dor Lombar/fisiopatologia , Movimento/fisiologia , Tronco/fisiologia , Adolescente , Adulto , Estudos Transversais , Medo/fisiologia , Medo/psicologia , Feminino , Humanos , Dor Lombar/psicologia , Masculino , Pessoa de Meia-Idade , Músculo Esquelético/fisiologia , Inquéritos e Questionários , Adulto Jovem
19.
Nat Commun ; 12(1): 716, 2021 01 29.
Artigo em Inglês | MEDLINE | ID: mdl-33514737

RESUMO

For over two decades photoacoustic imaging has been tested clinically, but successful human trials have been limited. To enable quantitative clinical spectroscopy, the fundamental issues of wavelength-dependent fluence variations and inter-wavelength motion must be overcome. Here we propose a real-time, spectroscopic photoacoustic/ultrasound (PAUS) imaging approach using a compact, 1-kHz rate wavelength-tunable laser. Instead of illuminating tissue over a large area, the fiber-optic delivery system surrounding an US array sequentially scans a narrow laser beam, with partial PA image reconstruction for each laser pulse. The final image is then formed by coherently summing partial images. This scheme enables (i) automatic compensation for wavelength-dependent fluence variations in spectroscopic PA imaging and (ii) motion correction of spectroscopic PA frames using US speckle tracking in real-time systems. The 50-Hz video rate PAUS system is demonstrated in vivo using a murine model of labelled drug delivery.


Assuntos
Sistemas Computacionais , Imagem Molecular/métodos , Técnicas Fotoacústicas/métodos , Análise Espectral/métodos , Animais , Desenho de Equipamento , Feminino , Processamento de Imagem Assistida por Computador , Lasers , Camundongos , Camundongos Nus , Modelos Animais , Imagem Molecular/instrumentação , Movimento (Física) , Fibras Ópticas , Imagens de Fantasmas , Técnicas Fotoacústicas/instrumentação , Análise Espectral/instrumentação , Ultrassonografia/instrumentação , Ultrassonografia/métodos
20.
Euro Surveill ; 26(2)2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33446304

RESUMO

The European monitoring of excess mortality for public health action (EuroMOMO) network monitors weekly excess all-cause mortality in 27 European countries or subnational areas. During the first wave of the coronavirus disease (COVID-19) pandemic in Europe in spring 2020, several countries experienced extraordinarily high levels of excess mortality. Europe is currently seeing another upsurge in COVID-19 cases, and EuroMOMO is again witnessing a substantial excess all-cause mortality attributable to COVID-19.


Assuntos
COVID-19/mortalidade , Mortalidade/tendências , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , Causas de Morte , Criança , Pré-Escolar , Sistemas Computacionais , Monitoramento Epidemiológico , Europa (Continente)/epidemiologia , Humanos , Lactente , Recém-Nascido , Pessoa de Meia-Idade , SARS-CoV-2 , Adulto Jovem
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