Maria Claudia F Castro

Maria Claudia F Castro
University Center of FEI · Department of Electrical Engineering

Dr.

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35
Publications
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321
Citations

Publications

Publications (35)
Article
Full-text available
This study presents a new approach for an sEMG hand prosthesis based on a 3D printed model with a fully embedded computer vision (CV) system in a hybrid version. A modified 5-layer Smaller Visual Geometry Group (VGG) convolutional neural network (CNN), running on a Raspberry Pi 3 microcomputer connected to a webcam, recognizes the shape of daily us...
Article
Full-text available
People taken by upper limb disorders caused by neurological diseases suffer from grip weakening, which affects their quality of life. Researches on soft wearable robotics and advances in sensor technology emerge as promising alternatives to develop assistive and rehabilitative technologies. However, current systems rely on surface electromyography...
Article
Full-text available
This paper proposes a comparison between different neural network models, using multilayer perceptron (MLPs) and recurrent neural network (RNN) models, for predicting Parkinson's disease electromyography (EMG) signals, to anticipate resulting resting tremor patterns. The experimental results indicate that the proposed models can adapt to different...
Article
Full-text available
Introduction: Functional electrical stimulation (FES) is a technique that has been successfully employed in rehabilitation treatment to mitigate problems after spinal cord injury (SCI). One of the most relevant modules in a typical FES system is the power or output amplifier stage, which is responsible for the application of voltage or current puls...
Conference Paper
This article proposes the development of a mobile interface for controlling a Neuroprosthesis, designed to restore grasp patterns, aiming tetraplegics users at C5 and C6 levels. Human Computer Interface paradigms and usability concepts guide its planning and development to garantee the quality of user's interaction with the system and thus, the suc...
Conference Paper
Full-text available
This project aims to develop a dynamic elbow orthosis controlled by myoelectric signal. The mechanical system was constructed based on a 3D printer concept, with a linear actuator performing elbow flexion/extension movements according to user's intention. The direction of the movement is detected through myoelectric signal analysis. The hardware to...
Conference Paper
Full-text available
This project aims the development of a Human Machine Interface (HMI) muscle control system. The HMI can vary from entertainment to medical purposes, such as slide viewer, browser, music media player or prosthesis. A custom-made hardware was developed to acquire four channels of myoelectric (EMG) signals. Using normalized energy and Kmeans five hand...
Article
Full-text available
Background Myoelectric controlled prosthetic hand requires machine based identification of hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles. This study has observed that a sub-set of the hand gestures have to be selected for an accurate automated hand gesture recognition, and reports a method to select these gestu...
Article
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Automatic and accurate identification of elbow angle from surface electromyogram (sEMG) is essential for myoelectric controlled upper limb exoskeleton systems. This requires appropriate selection of sEMG features, and identifying the limitations of such a system. This study has demonstrated that it is possible to identify three discrete positions o...
Conference Paper
Full-text available
This paper proposes to relate a Linear Discriminant Analysis Classification based system with Quality Similarity Clustering process and a Brain Mapping Technique in order to clarify the brain activity differences that could sustain the better classification rates between each of the Motor Imagery (MI - flex right arm, flex left arm, close right han...
Conference Paper
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The affective computing aims to detect emotional states during the interaction between the user and the machine allowing the use of this information in decision-making processes. EEG signals related to emotional states can be applied to the context of software usability providing more resources to the validation process and the identification of th...
Conference Paper
Full-text available
This work presents the performance of a Linear Discriminant Analysis classifier that used EEG data from 3 different subsets of the signal, which was gathered during the execution of 4 upper limb movements. The mean Power of the signal, segmented in 8 EEG frequency bands, was used as the features for the classifier and the effect of spatial feature...
Conference Paper
Full-text available
Despite the existence of many examples in multifunctional control systems there is a lack of studies that show hand gestures applied in daily life activities. Furthermore, isometric contractions, above certain thresholds, continue to be used once it is easier to deal with. However, it is a static contraction, that is not used to perform movements....
Article
Full-text available
C EEG channel data are usually used when building systems that aim at distinguishing among right and left hand movements. Few alternatives use multichannel systems when bigger sets of motor imagery are subject to classification and more inputs are required. In this context, this work proposes the use of 8 EEG channels (F, C, P, and O), disposed in...
Conference Paper
Full-text available
This paper focus on the application of a multivariate statistical analysis approach, based on Linear Discriminant Analysis (LDA), of EMG data that aims to identify the angular position of the elbow. Linear transformations applied to EMG signals of the Biceps brachii and Triceps brachii, acquired during flexion / extension movements, enabled good an...
Conference Paper
Full-text available
Pattern recognition of electromyographic signals consists of a hard task due to the high dimensionality of the data and noise presence on the acquired signals. This work intends to study the data set as a multivariate pattern recognition problem by applying linear transformations to reduce the data dimensionality. Five volunteers contributed in a p...
Conference Paper
Full-text available
Electromyographic (EMG) signal is the electrical manifestation of neuromuscular activation associated with muscle contraction. The present work intends to characterize the behavior of the muscles biceps and triceps during elbow flexion and extension movements, without load. These movements were performed at horizontal and vertical planes. Three typ...
Article
Full-text available
Esse trabalho discute o uso da estimulação elétrica na reabilitação sensoriomotora de membros superiores paralisados. A restauração da função motora de preensão foi obtida pela aplicação da estimulação elétrica neuromuscular, em seqüências de ativação adequadas a realização de atividades do cotidiano como comer, beber, escrever e digitar. Uma luva...
Article
Full-text available
Esse trabalho discute o uso da estimulação elétrica na reabilitação sensoriomotora de membros superiores paralisados. A restauração da função motora de preensão foi obtida pela aplicação da estimulação elétrica neuromuscular, em seqüências de ativação adequadas a realização de atividades do cotidiano como comer, beber, escrever e digitar. Uma luva...
Article
Spinal cord injured (SCI) subjects lack sensorimotor functions. Neuromuscular electrical stimulation (NMES) systems have been used to artificially restore motor functions, but without proprioceptive feedback, SCI subjects can control NMES systems only when they can see their limbs. In a gait restoration system, the subject looks down to the ground...
Article
Full-text available
Neuromuscular electrical stimulation (NMES) has been used in upper limb rehabilitation towards restoring motor hand function. Quantitative evaluation of the artificially generated movement is necessary to achieve proper muscle activation. Custom-made gloves instrumented with force and position transducers were used to evaluate artificial quadripleg...
Article
Neuromuscular electrical stimulation (NIMES) has been used in upper limb rehabilitation towards restoring motor hand function. Quantitative evaluation of the artificially generated movement is necessary to achieve proper muscle activation. Custom-made gloves instrumented with force and position transducers were used to evaluate artificial quadriple...
Article
Neuromuscular electrical stimulation has been used in upper limb rehabilitation towards restoring motor hand function. In this work, an 8 channel microcomputer controlled stimulator with monophasic square voltage output was used. Muscle activation sequences were defined to perform palmar and lateral prehension and power grip (index finger extension...
Article
Full-text available
Functional restoration of paralysed limbs must be focused in both motor and sensory rehabilitation. Neuromuscular electrical stimulation (NMES) has been used in upper and lower limb rehabilitation. Quantitative evaluation of the artificial generated movement is necessary to achieve proper muscle activation. For this purpose custom made gloves instr...
Article
Full-text available
A rehabilitation program toward restoring upper limb movements based on neuromuscular electrical stimulation (NMES) depends on closed-loop control performance, which has been limited by the development of sensors for practical daily use. This work proposes a system to obtain force feedback. The system is comprised of a Lycra commercial glove with f...
Conference Paper
Full-text available
Neuromuscular Electrical Stimulation (NMES) systems are used worldwide to restore upper and lower limb functions in spinal cord patients. An integrated approach is being tried at UNICAMP, including multichannel stimulators, sensors and algorithms for closed-loop control, and artificial proprioception. This paper describes some of the devices develo...
Article
Full-text available
Resumo: Este projeto comparou a eficiência da Análise de Discriminantes Lineares e de Redes Neurais como classificadores aplicados a sinais mioelétricos provenientes de movimentos dos braços visando relacioná-los à posição angular do braço. Embora as técnicas tenham eficiência comprovada em tratamentos individualizados, os resultados mostraram que,...

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