Mostrando ítems 1-20 de 38

A lightweight deep learning model for mobile eye fundus image quality assessment

Perdomo Charry, Oscar Julian; Gonzalez Osorio, Fabio; Perez Perez, Andrés (SPIEEstados Unidos, 2020)

Image acquisition and automatic quality analysis are fundamental stages and tasks to support an accurate ocular diagnosis. In particular, when eye fundus image quality is not appropriate, it can hinder the diagnosis task ...
A time to exhaustion model during prolonged running based on wearable accelerometers

Provot, Thomas; Munera, Marcela; Chiementin, Xavier; Bolaers, Fabrice (Taylor and Francis Ltd.Reino Unido, 2019)

Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry ...
Acceptance of Global Positioning System (GPS) Technology Among Dementia Clients and Family Caregivers

Cruz, Antonio miguel; Juzwishin, Don; Liu, Lili; Barnard, Shannon; Ruptash, Tracy (RoutledgeColombia, 2017)

The purpose of this study was to examine the acceptance of Global Positioning System (GPS) used to help people with dementia, who are at risk for wandering in their communities. We used a mixed methods research approach ...
Analysis of muscular activity and dynamic response of the lower limb adding vibration to cycling

Munera Ramirez, Marcela Cristina; Chiementin, Xavier; Duc, Sebastien; Bertucci, William (RoutledgeEstados Unidos, 2018)

Vibration in cycling has been proved to have undesirable effects over health, comfort and performance of the rider. In this study, 15 participants performed eight 6-min sub-maximal pedalling exercises at a constant power ...
Caregivers as a proxy for responses of dementia clients in a GPS technology acceptance study

Cruz, Antonio Miguel; Juzwishin, Don; Liu, Lili (Taylor y Francis Ltd.Colombia, 2018)

The objective of this study was to examine the extent to which caregivers can be used to provide proxy responses for dementia clients in a study on the acceptance of GPS technology. Methods: Forty-five client–caregiver ...
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

Perdomo Charry, Oscar Julian; Gonzalez Osorio, Fabio; Otalora Montenegro, Juan Sebastian; Rodriguez Alvira, Francisco Jose; Muller, Henning; Meriaudeau, Fabrice; Rios Calixto, Hernan Andrés (ElsevierIreland, 2019)

Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical ...
ClusteringProposal Supportfor theCOVID-19 Making Decision Process in a Data Demanding Scenario

Orjuela Canon, Alvaro David; Perdomo Charry, Oscar Julian (Sociedad de Informática IEEEEstados Unidos, 2021)

The COVID-19 disease surprised the world in the last monthsdue to the number of infections and deaths have been increased in an exponential way.Since the pandemic was established by the World Health Organization, ...
Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes

Orjuela Canon, Alvaro David; Perdomo Charry, Oscar Julian (SPIEEstados Unidos, 2020)

Currently, cancer is the leading cause of death worldwide, making millions of deaths annually in developing countries due to a shortage of detection and treatment. Early detection of cancer neoantigens is useful for ...
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

Pérez, Andrés D.; Perdomo, Oscar; Rios, Hernán; Rodríguez, Francisco; González, Fabio A. (Springer VerlagAlemania, 2020)

Eye fundus image quality represents a significant factor involved in ophthalmic screening. Usually, eye fundus image quality is affected by artefacts, brightness, and contrast hindering ophthalmic diagnosis. This paper ...
Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor

Rodriguez Cheu, Luis Eduardo; Caicedo Rodirguez, Pablo Eduardo; Rengifo Rodas, Carlos Felipe (Sociedad Mexicana de Ingeniería BiomédicaColombia, 2016)

En este escrito se presenta un estado del arte sobre las contribuciones de las ciencias de la electrónica al problema de las caídas en población adulta mayor. La bibliografía estudiada se clasificó con base en una taxonomía ...
Contribution of Bamboo for Vibratory Comfort in Biomechanics of Cycling

Chiementin, Xavier; Crequy, Samuel; Feron, Robin; Munera, Marcela; Abdi, Ellie; Provot, Thomas; Taiar, Redha (Bentham Science Publishers B.V.Suiza, 2017)

Vibrations in cycling produced by road irregularities could cause health problems and affect the cyclist’s comfort and performance. Therefore researchers and manufacturers focus their efforts to reduce the vibrations.
Development and evaluation of a novel robotic platform for gait rehabilitation in patients with Cerebral Palsy: CPWalker

Bayón, C.; Ramírez, O.; Serrano, J.I.; Del Castillo, M.D.; Pérez Somarriba, A.; Belda Lois, J.M.; Martínez Caballero, I.; Lerma Lara, S.; Cifuentes, C.; Frizera, A.; Rocon, E. (ElsevierEspaña, 2017)

The term Cerebral Palsy (CP) is a set of neurological disorders that appear in infancy or early childhood and permanently affect body movement and muscle coordination. The prevalence of CP is two–three per 1000 births. ...
Diseño y simulación de un filtro de células de tipo linfocitos T en un sistema de microfluidos

Quiroga Torres, Daniel Alejandro.; Montenegro Mendez, Cristian Martin.; Leguizamón Forero, Ana María. (Universidad del RosarioColombia, 2016)

Este trabajo consistió en diseñar y validar, mediante simulación experimental por computadora, un sistema de filtraje de linfocitos T en un sistema basado en microfluidos para detección del virus del vih. Materiales y ...
Estrategias robóticas de desinfección para manejo de la pandemia por COVID - 19

Loaiza Sánchez, Manuela (Bogotá, Colombia, 2021)

Al buscar una posible solución o mejora para la calidad de vida de las personas durante esta emergencia global, se le ha abierto la oportunidad a la robótica e inteligencia artificial de surgir exponencialmente; siendo ...
Evaluation of biomechanical gait parameters of patients with Cerebral Palsy at three different levels of gait assistance using the CPWalker

Aycardi, Luis Felipe; Cifuentes, Carlos Andrés; Bayón, Cristina; Ramírez, Oscar; Lerma, Sergio; Frizera, Anselmo; Rocon, Eduardo (BioMed Central LtdEstados Unidos, 2019)

Cerebral Palsy (CP) is the most common cause of permanent serious physical disability in childhood. Although many platforms have been developed, so far there are still not precise guidelines for the rehabilitation of the ...
FE Model and Operational Modal Analysis of Lower Limbs

Munera Ramirez, Marcela Cristina; Pionteck, Aymeric; Chiementin, Xavier; Murer, Sébastien; Chadefaux, Delphine; Rao, Guillaume (MDPI Multidisciplinary Digital Publishing InstituteSwitzerland, 2017)

Human lower limbs are exposed to vibrations on a daily basis, during work, transport or sports. However, most of the FE (Finite Elements) and OMA (Operational Modal Analysis) studies focus either on the whole body or on ...
Footwear influences soft-tissue vibrations in rearfoot strike runners

Munera Ramirez, Marcela Cristina; Giandolini, Marlene; Chiementin, Xavier; Horvais, Nicolas; Bartold, Simón (Taylor and Francis Ltd.Colombia, 2017)

Muscle activity is tuned in response to ground reaction force to dampen soft-tissue vibrations (Wakeling, Von Tscharner, Nigg, & Stergiou, 2001) during whole-body vibrations (Wakeling, Nigg, & Rozitis, 2002) and ...
How can technology assist occupational voice users?

Rodríguez Dueñas, William Rodrigo.; Espitia Rojas, Gleidy Vanessa; Sarmiento Rojas, Jefferson Steven (Taylor y Francis Ltd.Reino Unido, 2020)

The voice is an important tool for people who use it daily in their occupations. However, what technological options are available to such individuals to allow them to monitor or take care of their voices?
How do our students learn clinical engineering? A pilot study

Cruz, Antonio Miguel; Quiroga Torres, Daniel Alejandro; Presiga, Ana Maria; Flórez Luna, Nestor (Springer Verlag, 2017)

This paper aims to measure what are the students’ perceived learning outcome achievements after finishing their clinical engineering major courses. This is a pre- post-test with no control group study design. Forty ...
A human gait temporal parameters calculation algorithm

Rodriguez Cheu, Luis Eduardo; Caicedo Rodriguez, Pablo Eduardo; Rengifo Rodas, Carlos Felipe (Springer VerlagAlemania, 2017)

This paper presents a new algorithm to calculate three temporal parameters of human gait: cadence, swing time and stride time. These values are computed from: heel-strike time, toe-off time and mid-swing point time which ...

Envíos recientes

A lightweight deep learning model for mobile eye fundus image quality assessment
...
Perdomo Charry, Oscar Julian | 2020

Image acquisition and automatic quality analysis are fundamental stages and tasks to support an accurate ocular diagnosis. In particular, when eye fundus image quality is not appropriate, it can hinder the diagnosis task performed by experts. Portable, smart-phone-based eye fundus image acquisition devices have the advantage of their low cost and easy deployment, however, their main disadvantage is the sacrifice of image quality. This paper presents a deep-learning-based model to assess the eye fundus image quality which is small enough to be deployed in a smart phone. The model was evaluated in a public eye fundus dataset with two sets of annotations. The proposed method obtained an accuracy of 0.911 and 0.856, in the binary classification task and the three-classes classification task respectively. Besides, the presented method has a small number of parameters compared to other state-of-the-art models, being an alternative for a mobile-based eye fundus quality classification system.

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A time to exhaustion model during prolonged running based on wearable accelerometers
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Provot, Thomas | 2019

Defining relationships between running mechanisms and fatigue can be a major asset for optimising training. This article proposes a biomechanical model of time to exhaustion according to indicators derived from accelerometry data collected from the body. Ten volunteers were recruited for this study. The participants were equipped with 3 accelerometers: on the right foot, at the tibia and at the L4-L5 lumbar spine. A running test was performed on a treadmill at 13.5 km/h until exhaustion. Thirty-one variables were deployed during the test. Multiple linear regressions were calculated to explain the time to exhaustion from the indicators calculated on the lumbar, tibia and foot individually and simultaneously. Time to exhaustion was predicted for simultaneous measurement points with r2=0.792 and 21 indicators; for the lumbar with r2=0.568 and 11 indicators; for the tibia with r2=558 and 11 indicators; and for the foot with r2=0.626 and 12 indicators. This study allows the accurate modelling of the time to exhaustion during a running-based test using indicators from accelerometer measurements. The individual models highlight that the location of the measurement point is important and that each location provides different information. Future studies should focus on homogeneous populations to improve predictions and errors.

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Acceptance of Global Positioning System (GPS) Technology Among Dementia Clients and Family Caregivers
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Cruz, Antonio miguel | 2017

The purpose of this study was to examine the acceptance of Global Positioning System (GPS) used to help people with dementia, who are at risk for wandering in their communities. We used a mixed methods research approach that included use logs, pre and post paper-based questionnaires, and focus groups. Forty-five client-caregiver pairs (dyads) were included to use one of the GPS devices for an average of 5.8 months over a 1-year period. GPS acceptance was high; dyads were likely to continue using the GPS. According to the participants, the GPS provided caregivers peace of mind and reduced anxiety in dyads when clients got lost.

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Analysis of muscular activity and dynamic response of the lower limb adding vibration to cycling
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Munera Ramirez, Marcela Cristina | 2018

Vibration in cycling has been proved to have undesirable effects over health, comfort and performance of the rider. In this study, 15 participants performed eight 6-min sub-maximal pedalling exercises at a constant power output (150W) and pedalling cadence (80 RPM) being exposed to vibration at different frequencies (20, 30, 40, 50, 60, 70 Hz) or without vibration. Oxygen uptake (VO2), heart rate (HR), surface EMG activity of seven lower limb muscles (GMax, RF, BF, VM, GAS, SOL and TA) and 3-dimentional accelerations at ankle, knee and hip were measured during the exercises. To analyse the dynamic response, the influence of the pedalling movement was taken into account. The results show that there was not significant influence of vibrations on HR and VO2 during this pedalling exercise. However, muscular activity presents a significant increase with the presence of vibration that is influenced by the frequency, but this increase was very low (< 1%). Also, the dynamic response shows an influence of the frequency as well as an influence of the different parts of the pedalling cycle. Those results help to explain the effects of vibration on the human body and the influence of the rider/bike interaction in those effects.

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Caregivers as a proxy for responses of dementia clients in a GPS technology acceptance study
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Cruz, Antonio Miguel | 2018

The objective of this study was to examine the extent to which caregivers can be used to provide proxy responses for dementia clients in a study on the acceptance of GPS technology. Methods: Forty-five client–caregiver dyads used one of three GPS devices. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used to create two questionnaires, one for dementia clients and one for caregivers, as proxies. Spearman rho bivariate correlations of responses for each UTAUT construct were used to compare the client and caregiver responses post-usage of the GPS devices. Results: The mean age of the clients was 76.02 years (SD = 11.5). Overall, after using the GPS devices, the responses of the clients and caregivers were correlated and statistically significant (rxy Overall summative scale = 0.550). In addition, 4 out of 6 constructs of the UTAUT were correlated and statistically significant (p < 0.05) (rxy Performance Expectancy = 0.160; rxy Social Influence = 0.478; rxy Behavioural Intention to Use = 0.347; and rxy Actual Use = 0.570). Conclusion: The degree of agreement between the caregivers and clients, especially for the constructs intention to use and actual use of the GPS technology, suggested that caregivers can respond on behalf of dementia clients on technology acceptance questionnaires.

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Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
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Perdomo Charry, Oscar Julian | 2019

Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep learning models that automatically learn relevant features for specific tasks, instead of designing visual features manually. Nevertheless, providing insights and interpretation of the predictions made by the model is still a challenge. This paper describes a deep learning model able to detect medically interpretable information in relevant images from a volume to classify diabetes-related retinal diseases. Methods: This article presents a new deep learning model, OCT-NET, which is a customized convolutional neural network for processing scans extracted from optical coherence tomography volumes. OCT-NET is applied to the classification of three conditions seen in SD-OCT volumes. Additionally, the proposed model includes a feedback stage that highlights the areas of the scans to support the interpretation of the results. This information is potentially useful for a medical specialist while assessing the prediction produced by the model. Results: The proposed model was tested on the public SERI-CUHK and A2A SD-OCT data sets containing healthy, diabetic retinopathy, diabetic macular edema and age-related macular degeneration. The experimental evaluation shows that the proposed method outperforms conventional convolutional deep learning models from the state of the art reported on the SERI+CUHK and A2A SD-OCT data sets with a precision of 93% and an area under the ROC curve (AUC) of 0.99 respectively. Conclusions: The proposed method is able to classify the three studied retinal diseases with high accuracy. One advantage of the method is its ability to produce interpretable clinical information in the form of highlighting the regions of the image that most contribute to the classifier decision.

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ClusteringProposal Supportfor theCOVID-19 Making Decision Process in a Data Demanding Scenario
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Orjuela Canon, Alvaro David | 2021

The COVID-19 disease surprised the world in the last monthsdue to the number of infections and deaths have been increased in an exponential way.Since the pandemic was established by the World Health Organization, different strategies have been proposedfordealingdiverse problems in cities that the coronavirus affected. This work presents a method to decision making support processes, specificallyin environment with few data and variables to be considered. Thus, artificial neural networks architectures were employed to cluster the informationavailable intheBogota city, and provide a tool that allows generatingadditional findings in a simultaneous mode, andexpressed as a visualmap. The present proposal reachedsensitivity measures around 75%, obtaining100% for thebest cases.

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Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes
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Orjuela Canon, Alvaro David | 2020

Currently, cancer is the leading cause of death worldwide, making millions of deaths annually in developing countries due to a shortage of detection and treatment. Early detection of cancer neoantigens is useful for specialists because they can help in the development of more successful treatments. Based on this problem, the objective of this work is to carry out a comparative process between machine learning models, to determine which of them allows an adequate prediction of the data, and thus determine the carcinogenic neoantigens. For this, information extracted from protein sequences was employed. The preliminary results show sensitivity and specificity of 1.0 and 0.98 respectively.

LEER
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement
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Pérez, Andrés D. | 2020

Eye fundus image quality represents a significant factor involved in ophthalmic screening. Usually, eye fundus image quality is affected by artefacts, brightness, and contrast hindering ophthalmic diagnosis. This paper presents a conditional generative adversarial network-based method to enhance eye fundus image quality, which is trained using automatically generated synthetic bad-quality/good-quality image pairs. The method was evaluated in a public eye fundus dataset with three classes: good, usable and bad quality according to specialist annotations with 0.64 Kappa. The proposed method enhanced the image quality from usable to good class in 72.33% of images. Likewise, the image quality was improved from the bad category to usable class, and from bad to good class in 56.21% and 29.49% respectively.

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Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor
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Rodriguez Cheu, Luis Eduardo | 2016

En este escrito se presenta un estado del arte sobre las contribuciones de las ciencias de la electrónica al problema de las caídas en población adulta mayor. La bibliografía estudiada se clasificó con base en una taxonomía propuesta por los autores consistente de 8 ejes temáticos que son: etiología, epidemiología, predicción, consecuencias, prevención, medición, detección de caídas y detección de actividades diarias. De la revisión bibliográfica realizada se concluyó que las contribuciones más importantes de las ciencias de la electrónica surgen tanto del desarrollo de dispositivos de captura de movimiento como de los diferentes algoritmos propuestos para procesar la información proveniente de estos dispositivos. Gracias a la combinación de estos dos aspectos (dispositivos y algoritmos) se han podido medir de manera precisa variables como velocidad de marcha, longitud y duración del paso, posición del centro de gravedad y balanceo postural. La medición de estas variables, a su vez, ha introducido avances significativos en la forma en que se realiza la valoración del riesgo de caída. Pese a lo anterior, existen numerosos interrogantes que aun deben ser resueltos, uno de ellos es: ¿cómo convertir la información cuantitativa asociada a la medición de variables biomecánicas en valoraciones cualitativas?. De lo anterior se derivan interrogantes más puntuales como: ¿cuáles son los límites aceptables para la asimetría de marcha? ¿Cómo determinar si un nivel de balanceo postural puede considerarse inseguro?

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Contribution of Bamboo for Vibratory Comfort in Biomechanics of Cycling
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Chiementin, Xavier | 2017

Vibrations in cycling produced by road irregularities could cause health problems and affect the cyclist’s comfort and performance. Therefore researchers and manufacturers focus their efforts to reduce the vibrations.

LEER
Development and evaluation of a novel robotic platform for gait rehabilitation in patients with Cerebral Palsy: CPWalker
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Bayón, C. | 2017

The term Cerebral Palsy (CP) is a set of neurological disorders that appear in infancy or early childhood and permanently affect body movement and muscle coordination. The prevalence of CP is two–three per 1000 births. Emerging rehabilitation therapies through new strategies are needed to diminish the assistance required for these patients, promoting their functional capability. This paper presents a new robotic platform called CPWalker for gait rehabilitation in patients with CP, which allows them to start experiencing autonomous locomotion through novel robot-based therapies. The platform (smart walker + exoskeleton) is controlled by a multimodal interface that gives high versatility. The therapeutic approach, as well as the details of the interactions may be defined through this interface. CPWalker concept aims to promote the earlier incorporation of patients with CP to the rehabilitation treatment and increases the level of intensity and frequency of the exercises. This will enable the maintenance of therapeutic methods on a daily basis, with the intention of leading to significant improvements in the treatment outcomes.

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Diseño y simulación de un filtro de células de tipo linfocitos T en un sistema de microfluidos
...
Quiroga Torres, Daniel Alejandro. | 2016

Este trabajo consistió en diseñar y validar, mediante simulación experimental por computadora, un sistema de filtraje de linfocitos T en un sistema basado en microfluidos para detección del virus del vih. Materiales y métodos: se utilizó la herramienta de simulación AutoDesk® Inventor, con la cual se realizó el diseño del sistema de microfluídica. El sistema de filtraje se probó haciendo una simulación por computadora en la herramienta de simulación AutoDesk ® Simulation cfd (computational fluid dynamics software) en la cual diferentes partículas con varios diámetros (5 µm, 10 µm, 15 µm) fluían por el sistema a probar. Resultados y conclusiones: los resultados demostraron que el sistema de filtraje permitió el paso de las partículas esperadas, sin embargo, se observó que permitió el paso de partículas más grandes que las deseadas, por lo cual hay que seguir trabajando en el perfeccionamiento del sistema. La eficiencia del sistema de filtraje fue de un 33,33%.

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Estrategias robóticas de desinfección para manejo de la pandemia por COVID - 19
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Loaiza Sánchez, Manuela | 2021

Al buscar una posible solución o mejora para la calidad de vida de las personas durante esta emergencia global, se le ha abierto la oportunidad a la robótica e inteligencia artificial de surgir exponencialmente; siendo evidenciada en estudios de implementación robótica. Se han implementado métodos de salas automatizadas sin contacto durante la desinfección o en inglés conocido como no-touch disinfection system (NTD), ya que estas permiten una desinfección eficaz y fiable de la contaminación superficial del espacio. Para dar otra solución a esta problemática de desinfección de espacios durante la pandemia por el COVID-19, de la mano del semillero de rehabilitación y el centro de Biomecánica de la Escuela Colombiana Julio Garavito, a través del proyecto COVIBOT del 2020-2021, se propone implementar un robot automatizado haciendo uso de radicación de luz ultravioleta-C para la desinfección de los espacios de la universidad, haciendo un control monitoreado remotamente durante la desinfección, implementando a su vez sensores de UV y sensores de movimiento para garantizar que no haya personas dentro del espacio que se esté desinfectando.

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Evaluation of biomechanical gait parameters of patients with Cerebral Palsy at three different levels of gait assistance using the CPWalker
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Aycardi, Luis Felipe | 2019

Cerebral Palsy (CP) is the most common cause of permanent serious physical disability in childhood. Although many platforms have been developed, so far there are still not precise guidelines for the rehabilitation of the population with CP. The CPWalker is a robotic platform for the rehabilitation of children with CP, through which they can start experiencing autonomous locomotion in the rehabilitation environment. It allows the possibility of free movement and includes physical and cognitive interfaces into the therapy. The main objective of this work is to evaluate the effects of the CPWalker-based rehabilitation intervention in children with CP by comparing different gait parameters before, during and after the use of the platform.

LEER
FE Model and Operational Modal Analysis of Lower Limbs
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Munera Ramirez, Marcela Cristina | 2017

Human lower limbs are exposed to vibrations on a daily basis, during work, transport or sports. However, most of the FE (Finite Elements) and OMA (Operational Modal Analysis) studies focus either on the whole body or on the hand-arm system. The study presented herein aims at identifying the modal parameters of the lower limbs using a 2D FE model updated using OMA. A numerical model is proposed, and a modal analysis has been performed on 11 subjects. Two repeatable modal frequencies were extracted: 52.54 ± 2.05 Hz and 118.94 ± 2.70 Hz, which were used to update the mechanical properties of the numerical model. The knowledge of these modal characteristics makes it possible to design new equipment that would absorb these specific vibrations and possibly reduce the risk of related diseases in the field of sports and transport.

LEER
Footwear influences soft-tissue vibrations in rearfoot strike runners
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Munera Ramirez, Marcela Cristina | 2017

Muscle activity is tuned in response to ground reaction force to dampen soft-tissue vibrations (Wakeling, Von Tscharner, Nigg, & Stergiou, 2001) during whole-body vibrations (Wakeling, Nigg, & Rozitis, 2002) and running (Boyer & Nigg, 2004). A model study demonstrated this mechanism may be affected by fatigue and shoe hardness (Nikooyan & Zadpoor, 2012). Footwear may then influence soft-tissue vibrations, and thus the part of muscle activity affecting the muscle tuning mechanism.

LEER
How can technology assist occupational voice users?
...
Rodríguez Dueñas, William Rodrigo. | 2020

The voice is an important tool for people who use it daily in their occupations. However, what technological options are available to such individuals to allow them to monitor or take care of their voices?

LEER
How do our students learn clinical engineering? A pilot study
...
Cruz, Antonio Miguel | 2017

This paper aims to measure what are the students’ perceived learning outcome achievements after finishing their clinical engineering major courses. This is a pre- post-test with no control group study design. Forty students were involved in this pilot study. A paper-based survey composed of a demographic section and a 5-point Likert (“1” is strongly disagree and “5” is strongly agree) section measured the students’ perceived learning outcome achievements after exposing them to clinical engineering major courses. A Wilcoxon signed-rank and Mann-Whitney U test statistics were conducted to test the two hypotheses of this study. Our analysis showed statistically significant results between the pre-survey mean and SD: 21.10 SD 3.54; and between the postsurvey mean and SD: 22.75 SD 3.68 (Z -2.12, p<0.033), indicating that overall, students’ perceived learning outcome achievements after exposing them to clinical engineering major courses had significantly improved by the end of the major. Also, statistically significant results were found between the post-survey mean and SD: 3.94 SD 0.61 learning outcome perceptions and between the students’ actual marks mean and SD: 4.53 SD 0.22 (-5.00, p<0.000), indicating the students had low confidence in their learning outcomes after completing their clinical engineering major.

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A human gait temporal parameters calculation algorithm
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Rodriguez Cheu, Luis Eduardo | 2017

This paper presents a new algorithm to calculate three temporal parameters of human gait: cadence, swing time and stride time. These values are computed from: heel-strike time, toe-off time and mid-swing point time which can be in turn obtained from the first time derivate of the medio-lateral axis angular velocity of both shanks. The results generated by the proposed algorithm were validated with those of the commercial software Tech MCS Studio of Technaid. The comparison gives a mild difference for cadence and stride time. Aditionally, the new algorithm is a good alternative to the thresholding-based algorithms previously reported in the literature which require a great amount of work dedicated to the manual tuning of their multiple parameters.

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Listar AA. Gibiome por título

A lightweight deep learning model for mobile eye fundus image quality assessment ﻿

A time to exhaustion model during prolonged running based on wearable accelerometers ﻿

Acceptance of Global Positioning System (GPS) Technology Among Dementia Clients and Family Caregivers ﻿

Analysis of muscular activity and dynamic response of the lower limb adding vibration to cycling ﻿

Caregivers as a proxy for responses of dementia clients in a GPS technology acceptance study ﻿

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography ﻿

ClusteringProposal Supportfor theCOVID-19 Making Decision Process in a Data Demanding Scenario ﻿

Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes ﻿

A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement ﻿

Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor ﻿

Contribution of Bamboo for Vibratory Comfort in Biomechanics of Cycling ﻿

Development and evaluation of a novel robotic platform for gait rehabilitation in patients with Cerebral Palsy: CPWalker ﻿

Diseño y simulación de un filtro de células de tipo linfocitos T en un sistema de microfluidos ﻿

Estrategias robóticas de desinfección para manejo de la pandemia por COVID - 19 ﻿

Evaluation of biomechanical gait parameters of patients with Cerebral Palsy at three different levels of gait assistance using the CPWalker ﻿

FE Model and Operational Modal Analysis of Lower Limbs ﻿

Footwear influences soft-tissue vibrations in rearfoot strike runners ﻿

How can technology assist occupational voice users? ﻿

How do our students learn clinical engineering? A pilot study ﻿

A human gait temporal parameters calculation algorithm ﻿

Envíos recientes

A lightweight deep learning model for mobile eye fundus image quality assessment

A time to exhaustion model during prolonged running based on wearable accelerometers

Acceptance of Global Positioning System (GPS) Technology Among Dementia Clients and Family Caregivers

Analysis of muscular activity and dynamic response of the lower limb adding vibration to cycling

Caregivers as a proxy for responses of dementia clients in a GPS technology acceptance study

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

ClusteringProposal Supportfor theCOVID-19 Making Decision Process in a Data Demanding Scenario

Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes

A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor

Contribution of Bamboo for Vibratory Comfort in Biomechanics of Cycling

Development and evaluation of a novel robotic platform for gait rehabilitation in patients with Cerebral Palsy: CPWalker

Diseño y simulación de un filtro de células de tipo linfocitos T en un sistema de microfluidos

Estrategias robóticas de desinfección para manejo de la pandemia por COVID - 19

Evaluation of biomechanical gait parameters of patients with Cerebral Palsy at three different levels of gait assistance using the CPWalker

FE Model and Operational Modal Analysis of Lower Limbs

Footwear influences soft-tissue vibrations in rearfoot strike runners

How can technology assist occupational voice users?

How do our students learn clinical engineering? A pilot study

A human gait temporal parameters calculation algorithm

A lightweight deep learning model for mobile eye fundus image quality assessment

A time to exhaustion model during prolonged running based on wearable accelerometers

Acceptance of Global Positioning System (GPS) Technology Among Dementia Clients and Family Caregivers

Analysis of muscular activity and dynamic response of the lower limb adding vibration to cycling

Caregivers as a proxy for responses of dementia clients in a GPS technology acceptance study

Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

ClusteringProposal Supportfor theCOVID-19 Making Decision Process in a Data Demanding Scenario

Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes

A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement

Contribuciones de las Ciencias Electrónicas al Problema de las Caídas en Población Adulta Mayor

Contribution of Bamboo for Vibratory Comfort in Biomechanics of Cycling

Development and evaluation of a novel robotic platform for gait rehabilitation in patients with Cerebral Palsy: CPWalker

Diseño y simulación de un filtro de células de tipo linfocitos T en un sistema de microfluidos

Estrategias robóticas de desinfección para manejo de la pandemia por COVID - 19

Evaluation of biomechanical gait parameters of patients with Cerebral Palsy at three different levels of gait assistance using the CPWalker

FE Model and Operational Modal Analysis of Lower Limbs

Footwear influences soft-tissue vibrations in rearfoot strike runners

How can technology assist occupational voice users?

How do our students learn clinical engineering? A pilot study

A human gait temporal parameters calculation algorithm