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1.
Int J Behav Nutr Phys Act ; 18(1): 40, 2021 03 17.
Artículo en Inglés | MEDLINE | ID: mdl-33731132

RESUMEN

BACKGROUND: COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. METHODS: From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A 'sharp' regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. RESULTS: Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an 'at risk' body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an 'at risk' body composition recovered step counts at a slower pace after the reopening. CONCLUSIONS: Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic.


Asunto(s)
/prevención & control , Recolección de Datos/estadística & datos numéricos , Ejercicio Físico , Monitores de Ejercicio , Aplicaciones Móviles , Conducta Sedentaria , Adulto , China/epidemiología , Control de Enfermedades Transmisibles/métodos , Femenino , Humanos , Masculino , Persona de Mediana Edad , Teléfono Inteligente
2.
Med J Malaysia ; 76(2): 125-130, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-33742617

RESUMEN

INTRODUCTION: The global pandemic of Corona Virus Disease 2019 (COVID-19) has led to the re-purposing of medications, such as hydroxychloroquine and lopinavir-ritonavir in the treatment of the earlier phase of COVID-19 before the recognized benefit of steroids and antiviral. We aim to explore the corrected QT (QTc) interval and 'torsadogenic' potential of hydroxychloroquine and lopinavir-ritonavir utilising a combination of smartphone electrocardiogram and 12-lead electrocardiogram monitoring. MATERIALS AND METHODS: Between 16-April-2020 to 30-April- 2020, patients with suspected or confirmed for COVID-19 indicated for in-patient treatment with hydroxychloroquine with or without lopinavir-ritonavir to the Sarawak General Hospital were monitored with KardiaMobile smartphone electrocardiogram (AliveCor®, Mountain View, CA) or standard 12-lead electrocardiogram. The baseline and serial QTc intervals were monitored till the last dose of medications or until the normalization of the QTc interval. RESULTS: Thirty patients were treated with hydroxychloroquine, and 20 (66.7%) patients received a combination of hydroxychloroquine and lopinavir-ritonavir therapy. The maximum QTc interval was significantly prolonged compared to baseline (434.6±28.2msec vs. 458.6±47.1msec, p=0.001). The maximum QTc interval (456.1±45.7msec vs. 464.6±45.2msec, p=0.635) and the delta QTc (32.6±38.5msec vs. 26.3±35.8msec, p=0.658) were not significantly different between patients on hydroxychloroquine or a combination of hydroxychloroquine and lopinavir-ritonavir. Five (16.7%) patients had QTc of 500msec or more. Four (13.3%) patients required discontinuation of hydroxychloroquine and 3 (10.0%) patients required discontinuation of lopinavirritonavir due to QTc prolongation. However, no torsade de pointes was observed. CONCLUSIONS: QTc monitoring using smartphone electrocardiogram was feasible in COVID-19 patients treated with hydroxychloroquine with or without lopinavir-ritonavir. The usage of hydroxychloroquine and lopinavir-ritonavir resulted in QTc prolongation, but no torsade de pointes or arrhythmogenic death was observed.


Asunto(s)
/tratamiento farmacológico , Electrocardiografía , Inhibidores Enzimáticos/uso terapéutico , Hidroxicloroquina/uso terapéutico , Síndrome de QT Prolongado/diagnóstico , Teléfono Inteligente , Adulto , Anciano , Antivirales/uso terapéutico , Combinación de Medicamentos , Femenino , Humanos , Síndrome de QT Prolongado/inducido químicamente , Lopinavir/uso terapéutico , Masculino , Persona de Mediana Edad , Aplicaciones Móviles , Ritonavir/uso terapéutico
3.
Rev Med Suisse ; 17(731): 588-591, 2021 Mar 24.
Artículo en Francés | MEDLINE | ID: mdl-33760422

RESUMEN

In recent years, smartphone applications (« apps ¼) for weight loss have emerged on the market. Their potential in the management of overweight or obesity is interesting thanks to their various features discussed in the article. The analyzed studies show that apps allow significant weight reduction, however without showing any difference with other interventions. In the future, functions based on artificial intelligence may be useful tools to improve patients' adherence to weight loss programs. Moreover, these apps present deficiencies in terms of respect of scientific evidence and the contribution of health experts in their design. In the future, interdisciplinary collaboration between developers, researchers and clinicians is necessary before considering the use of these apps in current practice.


Asunto(s)
Aplicaciones Móviles , Pérdida de Peso , Inteligencia Artificial , Humanos , Obesidad/terapia , Teléfono Inteligente
4.
Sensors (Basel) ; 21(5)2021 Feb 26.
Artículo en Inglés | MEDLINE | ID: mdl-33652697

RESUMEN

Human Activity Recognition (HAR) employing inertial motion data has gained considerable momentum in recent years, both in research and industrial applications. From the abstract perspective, this has been driven by an acceleration in the building of intelligent and smart environments and systems that cover all aspects of human life including healthcare, sports, manufacturing, commerce, etc. Such environments and systems necessitate and subsume activity recognition, aimed at recognizing the actions, characteristics, and goals of one or more individuals from a temporal series of observations streamed from one or more sensors. Due to the reliance of conventional Machine Learning (ML) techniques on handcrafted features in the extraction process, current research suggests that deep-learning approaches are more applicable to automated feature extraction from raw sensor data. In this work, the generic HAR framework for smartphone sensor data is proposed, based on Long Short-Term Memory (LSTM) networks for time-series domains. Four baseline LSTM networks are comparatively studied to analyze the impact of using different kinds of smartphone sensor data. In addition, a hybrid LSTM network called 4-layer CNN-LSTM is proposed to improve recognition performance. The HAR method is evaluated on a public smartphone-based dataset of UCI-HAR through various combinations of sample generation processes (OW and NOW) and validation protocols (10-fold and LOSO cross validation). Moreover, Bayesian optimization techniques are used in this study since they are advantageous for tuning the hyperparameters of each LSTM network. The experimental results indicate that the proposed 4-layer CNN-LSTM network performs well in activity recognition, enhancing the average accuracy by up to 2.24% compared to prior state-of-the-art approaches.


Asunto(s)
Actividades Humanas , Redes Neurales de la Computación , Teléfono Inteligente , Teorema de Bayes , Humanos , Aprendizaje Automático
5.
Sensors (Basel) ; 21(4)2021 Feb 11.
Artículo en Inglés | MEDLINE | ID: mdl-33670099

RESUMEN

On-body device position awareness plays an important role in providing smartphone-based services with high levels of usability and quality. Traditionally, the problem assumed that the positions that were supported by the system were fixed at the time of design. Thus, if a user stores his/her terminal into an unsupported position, the system forcibly classifies it into one of the supported positions. In contrast, we propose a framework to discover new positions that are not initially supported by the system, which adds them as recognition targets via labeling by a user and re-training on-the-fly. In this article, we focus on a component of identifying a set of samples that are derived from a single storing position, which we call new position candidate identification. Clustering is applied as a key component to prepare a reliable dataset for re-training and to reduce the user's burden of labeling. Specifically, density-based spatial clustering of applications with noise (DBSCAN) is employed because it does not require the number of clusters in advance. We propose a method of finding an optimal value of a main parameter, Eps-neighborhood (eps), which affects the accuracy of the resultant clusters. Simulation-based experiments show that the proposed method performs as if the number of new positions were known in advance. Furthermore, we clarify the timing of performing the new position candidate identification process, in which we propose criteria for qualifying a cluster as the one comprising a new position.


Asunto(s)
Algoritmos , Teléfono Inteligente , Análisis por Conglomerados
6.
Sensors (Basel) ; 21(4)2021 Feb 11.
Artículo en Inglés | MEDLINE | ID: mdl-33670251

RESUMEN

Biosensors and systems in the form of wearables and "nearables" (i [...].


Asunto(s)
Técnicas Biosensibles , Dispositivos Electrónicos Vestibles , Prestación de Atención de Salud , Humanos , Monitoreo Fisiológico , Teléfono Inteligente
7.
Sensors (Basel) ; 21(4)2021 Feb 22.
Artículo en Inglés | MEDLINE | ID: mdl-33671481

RESUMEN

This study aimed to investigate the validity of using built-in smartphone accelerometers to estimate the active energy expenditures of full-time manual wheelchair users with spinal cord injury (SCI). Twenty participants with complete SCI completed 10 5-min daily activities that involved the upper limbs, during which their oxygen consumption and upper limb activity were registered using a portable gas analyzer and a smartphone (placed on the non-dominant arm), respectively. Time series of 1-min averaged oxygen consumption and 55 accelerometer variables (13 variables for each of the four axes and three additional variables for the correlations between axes) were used to estimate three multiple linear models, using a 10-fold cross-validation method. The results showed that models that included either all variables and models or that only included the linear variables showed comparable performance, with a correlation of 0.72. Slightly worse general performance was demonstrated by the model that only included non-linear variables, although it proved to be more accurate at estimating the energy expenditures (EE) during specific tasks. These results suggest that smartphones could be a promising low-cost alternative to laboratory-grade accelerometers to estimate the energy expenditure of wheelchair users with spinal cord injury during daily activities.


Asunto(s)
Teléfono Inteligente , Traumatismos de la Médula Espinal , Silla de Ruedas , Acelerometría , Metabolismo Energético , Humanos , Monitoreo Ambulatorio , Traumatismos de la Médula Espinal/diagnóstico
8.
Sensors (Basel) ; 21(4)2021 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-33672053

RESUMEN

During the last decade, orthopedic oncology has experienced the benefits of computerized medical imaging to reduce human dependency, improving accuracy and clinical outcomes. However, traditional surgical navigation systems do not always adapt properly to this kind of interventions. Augmented reality (AR) and three-dimensional (3D) printing are technologies lately introduced in the surgical environment with promising results. Here we present an innovative solution combining 3D printing and AR in orthopedic oncological surgery. A new surgical workflow is proposed, including 3D printed models and a novel AR-based smartphone application (app). This app can display the patient's anatomy and the tumor's location. A 3D-printed reference marker, designed to fit in a unique position of the affected bone tissue, enables automatic registration. The system has been evaluated in terms of visualization accuracy and usability during the whole surgical workflow. Experiments on six realistic phantoms provided a visualization error below 3 mm. The AR system was tested in two clinical cases during surgical planning, patient communication, and surgical intervention. These results and the positive feedback obtained from surgeons and patients suggest that the combination of AR and 3D printing can improve efficacy, accuracy, and patients' experience.


Asunto(s)
Realidad Aumentada , Imagenología Tridimensional , Teléfono Inteligente , Cirugía Asistida por Computador , Humanos , Impresión Tridimensional , Flujo de Trabajo
9.
Australas J Ageing ; 40(1): 84-89, 2021 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-33682315

RESUMEN

OBJECTIVE: To investigate the impact of the COVID-19 pandemic on the quality of life and social networks of older adults receiving community care services. METHODS: Quality of life and social network questionnaires were completed by older adults (n = 21) receiving home care services at three time points (2018, 2019, and during the first Australian COVID-19 lockdown in 2020). Additional questions about technology use were included in 2020. RESULTS: Older adults' quality of life significantly decreased during the pandemic compared to the prior year. During the pandemic, over 80% used technology to maintain contact with family and friends, and social networks did not change. CONCLUSION: Government messages and support initiatives directed towards technology adoption among older adults receiving home care may assist with maintaining social connection during COVID-19. Our findings add to the relatively limited understanding of the impact of the COVID-19 pandemic on the socio-emotional well-being of older people.


Asunto(s)
/epidemiología , Calidad de Vida , Red Social , Comunicación por Videocoferencia , Anciano , Anciano de 80 o más Años , Computadores , Femenino , Servicios de Atención de Salud a Domicilio , Humanos , Relaciones Interpersonales , Estudios Longitudinales , Masculino , Nueva Gales del Sur/epidemiología , Pandemias , Teléfono Inteligente , Encuestas y Cuestionarios
10.
Medicine (Baltimore) ; 100(9): e23799, 2021 Mar 05.
Artículo en Inglés | MEDLINE | ID: mdl-33655906

RESUMEN

BACKGROUND: Colonoscopy is an uncomfortable procedure. Distraction is thought to reduce pain by decreasing the amount of attention a person spends on a painful stimulus. We aimed to assess the usefulness of smartphones on discomfort associated with the colonoscopy. METHODS: We designated 360 enrolled patients according to prospective randomized controlled study into two groups, including smartphone (SP) group (Relaxation by smartphones) and Control group (No relaxation). Measured outcomes included the discomfort, satisfaction, polyp detection rate and the willingness to repeat colonoscopy were analyzed between groups. RESULTS: The pain and distension scores of SP group patients were significantly lower than those of the Control group (2.18 ±â€Š2.80 vs 3.55 ±â€Š3.07, P < .001; 4.15 ±â€Š2.35 vs 4.79 ±â€Š2.36, P = .011, respectively). Importantly, patient-reported satisfaction scores of the SP group were significantly higher than those of the Control group (96.45 ±â€Š7.17 vs 91.12 ±â€Š10.49, respectively; P < .001). Moreover, although there were no statistical differences, patients using smartphones were more likely to have shorter reach cecum times (09m:11 s vs 07m:37 s, P = .116) and more polyp detection rate (13.3% vs 9.4%, P = .246). In addition, more patients using smartphones were willing to repeat colonoscopy but no statistical difference (85.0% vs 81.7%, P = .396). CONCLUSION: Patient using smartphone is a special manner to increase satisfaction during colonoscopy with a less discomfort and is more likely to be polyp detection rate.


Asunto(s)
Colonoscopía/psicología , Dolor Asociado a Procedimientos Médicos/terapia , Satisfacción del Paciente , Terapia por Relajación/instrumentación , Teléfono Inteligente , Adolescente , Adulto , Colonoscopía/métodos , Femenino , Humanos , Masculino , Persona de Mediana Edad , Dimensión del Dolor , Dolor Asociado a Procedimientos Médicos/psicología , Estudios Prospectivos , Resultado del Tratamiento , Adulto Joven
11.
J Med Internet Res ; 23(3): e23984, 2021 03 15.
Artículo en Inglés | MEDLINE | ID: mdl-33720028

RESUMEN

The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and early experiences with a comprehensive digital phenotyping platform: Health Outcomes through Positive Engagement and Self-Empowerment (HOPES). HOPES is based on the open-source Beiwe platform but adds a wider range of data collection, including the integration of wearable devices and further sensor collection from smartphones. Requirements were partly derived from a concurrent clinical trial for schizophrenia that required the development of significant capabilities in HOPES for security, privacy, ease of use, and scalability, based on a careful combination of public cloud and on-premises operation. We describe new data pipelines to clean, process, present, and analyze data. This includes a set of dashboards customized to the needs of research study operations and clinical care. A test use case for HOPES was described by analyzing the digital behavior of 22 participants during the SARS-CoV-2 pandemic.


Asunto(s)
Recolección de Datos/métodos , Aprendizaje Automático , Dispositivos Electrónicos Vestibles , Computadoras de Mano , Humanos , Aplicaciones Móviles , Fenotipo , Proyectos de Investigación , Esquizofrenia/diagnóstico , Esquizofrenia/terapia , Teléfono Inteligente
12.
Food Chem ; 352: 129330, 2021 Aug 01.
Artículo en Inglés | MEDLINE | ID: mdl-33657486

RESUMEN

Pregnancy test strips are one of the most mature and widely used commercial lateral flow devices used to determine pregnancy. Being a simple and rapid detection method, human chorionic gonadotropin (hCG) was used with different aptamers (hCG-apt) as probes for the detection of metal ions, small organic molecules, and proteins. Quantitative detection of target analytes was achieved using a smartphone app and a portable device developed in our laboratory. The results showed detection ranges of 1 nM-1 µM, 0.1 nM-10 µM and 32 nM-500 nM for Pb2+, chloramphenicol, and ß-lactoglobulin, respectively, and the corresponding visual detection limits in dairy products were 5 nM, 1 nM and 50 nM, respectively. Based on these results, rapid detection of multiple analytes can be realized through aptamer modification, thereby broadening the application range of commercial lateral flow devices for analysis of food chemistry.


Asunto(s)
Aptámeros de Nucleótidos/metabolismo , Productos Lácteos/análisis , Compuestos Férricos/química , Análisis de los Alimentos/instrumentación , Grafito/química , Pruebas de Embarazo/instrumentación , Teléfono Inteligente , Animales , Femenino , Oro/química , Humanos , Límite de Detección , Embarazo
13.
Medicine (Baltimore) ; 100(10): e24910, 2021 Mar 12.
Artículo en Inglés | MEDLINE | ID: mdl-33725849

RESUMEN

RATIONALE: Ocular metastasis of renal cell carcinoma (RCC) is rare, and mainly located on the choroid. We report a choroidal metastasis from RCC, which was recorded by a smartphone with an interface eyepiece adapter mounted on a slit lamp. PATIENT CONCERNS: A 45-year-old female presented with 1-month history of painless occlusion of the vision field on the left eye, who had undergone right nephrectomy for RCC 19 months ago. DIAGNOSES: A smooth, hemispherical and brown protrusion was found behind the pupil nasally. An enhanced computed tomography scan of the orbit showed a slightly high-density hemispherical nodule involving the nasal portions of the left eyeball, the enhancement of the lesion was obvious and homogeneous. A metastatic choroidal space-occupying lesion from RCC was highly suspected according to the clinical and radiological findings. INTERVENTIONS: The patient was advised to undergo further treatment, such as radiotherapy. OUTCOMES: The images of choroid metastasis were recorded by the smartphone with the interface eyepiece adapter mounted on the slit lamp handily. CONCLUSIONS: The smartphone with an interface eyepiece adapter mounted on the slit lamp can be widely used to record the precious images in the clinic in a timely manner.


Asunto(s)
Carcinoma de Células Renales/diagnóstico , Neoplasias de la Coroides/diagnóstico , Plexo Coroideo/diagnóstico por imagen , Neoplasias Renales/patología , Teléfono Inteligente , Carcinoma de Células Renales/secundario , Neoplasias de la Coroides/secundario , Femenino , Humanos , Neoplasias Renales/cirugía , Persona de Mediana Edad , Nefrectomía , Lámpara de Hendidura , Microscopía con Lámpara de Hendidura/instrumentación , Tomografía Computarizada por Rayos X
14.
Biosens Bioelectron ; 179: 113099, 2021 May 01.
Artículo en Inglés | MEDLINE | ID: mdl-33640656

RESUMEN

The SARS-CoV-2 pandemic, an ongoing global health crisis, has revealed the need for new technologies that integrate the sensitivity and specificity of RT-PCR tests with a faster time-to-detection. Here, an emulsion loop-mediated isothermal amplification (eLAMP) platform was developed to allow for the compartmentalization of LAMP reactions, leading to faster changes in emulsion characteristics, and thus lowering time-to-detection. Within these droplets, ongoing LAMP reactions lead to adsorption of amplicons to the water-oil interface, causing a decrease in interfacial tension, resulting in smaller emulsion diameters. Changes in emulsion diameter allow for the monitoring of the reaction by use of angle-dependent light scatter (based off Mie scatter theory). Mie scatter simulations confirmed that light scatter intensity is diameter-dependent and smaller colloids have lower intensity values compared to larger colloids. Via spectrophotometers and fiber optic cables placed at 30° and 60°, light scatter intensity was monitored. Scatter intensities collected at 5 min, 30° could statistically differentiate 10, 103, and 105 copies/µL initial concentrations compared to NTC. Similarly, 5 min scatter intensities collected at 60° could statistically differentiate 105 copies/µL initial concentrations in comparison to NTC. The use of both angles during the eLAMP assay allows for distinction between high and low initial target concentrations. The efficacy of a smartphone-based platform was also tested and had a similar limit of detection and assay time of less than 10 min. Furthermore, fluorescence-labeled primers were used to validate target nucleic acid amplification. Compared to existing LAMP assays for SARS-CoV-2 detection, these times-to-detections are very rapid.


Asunto(s)
/instrumentación , Dispersión Dinámica de Luz/instrumentación , Emulsiones/química , Técnicas de Diagnóstico Molecular/instrumentación , Técnicas de Amplificación de Ácido Nucleico/instrumentación , /aislamiento & purificación , Técnicas Biosensibles/economía , Técnicas Biosensibles/instrumentación , Técnicas Biosensibles/métodos , /métodos , Dispersión Dinámica de Luz/economía , Dispersión Dinámica de Luz/métodos , Diseño de Equipo , Humanos , Límite de Detección , Técnicas de Diagnóstico Molecular/economía , Técnicas de Diagnóstico Molecular/métodos , Técnicas de Amplificación de Ácido Nucleico/economía , Técnicas de Amplificación de Ácido Nucleico/métodos , Teléfono Inteligente , Factores de Tiempo
15.
Artículo en Inglés | MEDLINE | ID: mdl-33535632

RESUMEN

Smartphones have become an indispensable item for nursing students. The use of these devices in the clinical setting could have various effects on the clinical work of nursing students. This study was to explore nursing students' perceptions of their lived experiences of smartphone use in the clinical setting, in regard to patient safety. A descriptive phenomenological study was carried out. A total of 24 nursing students from a university in the southeast of Spain participated in this study. There were 10 in-depth interviews and two focal groups from January to May 2020. The data analysis was performed using ATLAS.TI software to identify the emergent topics. The COREQ Checklist was used to prepare the manuscript. Three principal topics were identified that illustrated the nursing students' experiences and perceptions of smartphone use in the clinical setting (1): Using smartphones in the clinical setting as a personal resource, (2) smartphones as a support mechanism for making clinical decisions, (3) impact of smartphones on patient care. The nursing students perceived smartphones as a support mechanism for making clinical decisions and for patient care. Smartphone use during clinical practicums may influence the quality of patient-centred communication and threaten clinical safety. The results of this study provide knowledge on the use of smartphones by nursing students in the clinical setting, which could help to establish measures that guarantee adequate patient care and responsible use of these devices.


Asunto(s)
Teléfono Inteligente , Estudiantes de Enfermería , Humanos , Percepción , Preceptoría , España
16.
Nutrients ; 13(2)2021 Jan 28.
Artículo en Inglés | MEDLINE | ID: mdl-33525593

RESUMEN

The soar in COVID-19 cases around the globe has forced many to adapt to social distancing and self-isolation. In order to reduce contact with healthcare facilities and other patients, the CDC has advocated the use of telemedicine, i.e., electronic information and telecommunication technology. While these changes may disrupt normal behaviors and routines and induce anxiety, resulting in decreased vigilance to healthy diet and physical activity and reluctance to seek medical attention, they may just as well be circumvented using modern technology. Indeed, as the beginning of the pandemic a plethora of alternatives to conventional physical interactions were introduced. In this Perspective, we portray the role of SmartPhone applications (apps) in monitoring healthy nutrition, from their basic functionality as food diaries required for simple decision-making and nutritional interventions, through more advanced purposes, such as multi-dimensional data-mining and development of machine learning algorithms. Finally, we will delineate the emerging field of personalized nutrition and introduce pioneering technologies and concepts yet to be incorporated in SmartPhone-based dietary surveillance.


Asunto(s)
/epidemiología , Aplicaciones Móviles , Pandemias , Teléfono Inteligente , Telemedicina , /terapia , Ejercicio Físico , Humanos , Estado Nutricional
17.
ACS Appl Mater Interfaces ; 13(7): 7966-7976, 2021 Feb 24.
Artículo en Inglés | MEDLINE | ID: mdl-33566573

RESUMEN

Nowadays, there is an increasing demand for more accessible routine diagnostics for patients with respect to high accuracy, ease of use, and low cost. However, the quantitative and high accuracy bioassays in large hospitals and laboratories usually require trained technicians and equipment that is both bulky and expensive. In addition, the multistep bioassays and long turnaround time could severely affect the disease surveillance and control especially in pandemics such as influenza and COVID-19. In view of this, a portable, quantitative bioassay device will be valuable in regions with scarce medical resources and help relieve burden on local healthcare systems. Herein, we introduce the MagiCoil diagnostic device, an inexpensive, portable, quantitative, and rapid bioassay platform based on the magnetic particle spectrometer (MPS) technique. MPS detects the dynamic magnetic responses of magnetic nanoparticles (MNPs) and uses the harmonics from oscillating MNPs as metrics for sensitive and quantitative bioassays. This device does not require trained technicians to operate and employs a fully automatic, one-step, and wash-free assay with a user friendly smartphone interface. Using a streptavidin-biotin binding system as a model, we show that the detection limit of the current portable device for streptavidin is 64 nM (equal to 5.12 pmole). In addition, this MPS technique is very versatile and allows for the detection of different diseases just by changing the surface modifications on MNPs. Although MPS-based bioassays show high sensitivities as reported in many literatures, at the current stage, this portable device faces insufficient sensitivity and needs further improvements. It is foreseen that this kind of portable device can transform the multistep, laboratory-based bioassays to one-step field testing in nonclinical settings such as schools, homes, offices, etc.


Asunto(s)
Bioensayo , Nanopartículas de Magnetita/química , Teléfono Inteligente , Estreptavidina/análisis , Bioensayo/instrumentación , Humanos , Hidrodinámica , Gripe Humana/diagnóstico , Fenómenos Magnéticos , Tamaño de la Partícula , Propiedades de Superficie
18.
Sensors (Basel) ; 21(3)2021 Jan 30.
Artículo en Inglés | MEDLINE | ID: mdl-33573170

RESUMEN

Velocity-based training is a contemporary method used by sports coaches to prescribe the optimal loading based on the velocity of movement of a load lifted. The most employed and accurate instruments to monitor velocity are linear position transducers. Alternatively, smartphone apps compute mean velocity after each execution by manual on-screen digitizing, introducing human error. In this paper, a video-based instrument delivering unattended, real-time measures of barbell velocity with a smartphone high-speed camera has been developed. A custom image-processing algorithm allows for the detection of reference points of a multipower machine to autocalibrate and automatically track barbell markers to give real-time kinematic-derived parameters. Validity and reliability were studied by comparing the simultaneous measurement of 160 repetitions of back squat lifts executed by 20 athletes with the proposed instrument and a validated linear position transducer, used as a criterion. The video system produced practically identical range, velocity, force, and power outcomes to the criterion with low and proportional systematic bias and random errors. Our results suggest that the developed video system is a valid, reliable, and trustworthy instrument for measuring velocity and derived variables accurately with practical implications for use by coaches and practitioners.


Asunto(s)
Entrenamiento de Resistencia , Teléfono Inteligente , Levantamiento de Peso , Fenómenos Biomecánicos , Humanos , Reproducibilidad de los Resultados , Grabación en Video
20.
Sci Data ; 8(1): 48, 2021 02 05.
Artículo en Inglés | MEDLINE | ID: mdl-33547309

RESUMEN

Parkinson's disease (PD) is a neurodegenerative disorder associated with motor and non-motor symptoms. Current treatments primarily focus on managing motor symptom severity such as tremor, bradykinesia, and rigidity. However, as the disease progresses, treatment side-effects can emerge such as on/off periods and dyskinesia. The objective of the Levodopa Response Study was to identify whether wearable sensor data can be used to objectively quantify symptom severity in individuals with PD exhibiting motor fluctuations. Thirty-one subjects with PD were recruited from 2 sites to participate in a 4-day study. Data was collected using 2 wrist-worn accelerometers and a waist-worn smartphone. During Days 1 and 4, a portion of the data was collected in the laboratory while subjects performed a battery of motor tasks as clinicians rated symptom severity. The remaining of the recordings were performed in the home and community settings. To our knowledge, this is the first dataset collected using wearable accelerometers with specific focus on individuals with PD experiencing motor fluctuations that is made available via an open data repository.


Asunto(s)
Acelerometría/métodos , Enfermedad de Parkinson/diagnóstico , Dispositivos Electrónicos Vestibles , Humanos , Núcleos Parabraquiales , Enfermedad de Parkinson/fisiopatología , Teléfono Inteligente , Muñeca
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