
Milica IsakovićTecnalia Serbia Ltd.
Milica Isaković
PhD in Biomedical Engineering
About
25
Publications
4,041
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358
Citations
Citations since 2017
Introduction
Publications
Publications (25)
Background:
Providing real-time haptic feedback is an important, but still not sufficiently explored aspect of use of supernumerary robotic limbs (SRLs). We present a multi-pad electrode for conveying multi-modal proprioceptive and sensory information from SRL to the user's thigh and propose a method for stimuli calibration.
Methods:
Within two...
Development of haptic interfaces to enrich augmented and virtual reality with the sense of touch is the next frontier for technological advancement of these systems. Among available technologies, electrotactile stimulation enables design of high-density interfaces that can provide natural-like sensation of touch in interaction with virtual objects....
Multi-pad electrotactile stimulation can be used to provide tactile feedback in different applications. The electrotactile interface needs to be calibrated before each use, which entails adjusting the intensity to obtain clear sensations while allowing the subjects to differentiate between active pads. The present study investigated how the stimula...
This paper presents the early results of research aiming to develop a novel system for unobtrusive and intuitive electrotactile feedback for first responders. The system leverages the multi-pad stimulation technology based on spatiotemporal modulation of the stimuli. Two-point discrimination threshold mapping was performed in potential electrode pl...
Background
Despite important advancements in control and mechatronics of myoelectric prostheses, the communication between the user and his/her bionic limb is still unidirectional, as these systems do not provide somatosensory feedback. Electrotactile stimulation is an attractive technology to close the control loop since it allows flexible modulat...
Repositioning of recording electrode array across repeated electromyography measurements may result in a displacement error in hand movement classification systems.
In order to examine if the classifier re-training could reach satisfactory results when electrode array is translated along or rotated around subject’s forearm for varying number of fe...
Background
Clinical and animal studies have found that anxiety and depression are significantly more common after acute myocardial infarction (AMI). The medial prefrontal cortex (PFC) has a dual role: in higher brain functions and in cardiovascular control, making it a logical candidate for explaining the perceived bidirectional heart-brain connect...
Recording electrode array may not be exactly repositioned across repeated electromyography measurements resulting in a displacement error when aiming at hand movement classification. The influence of electrode displacement on classification accuracy and its relation to the feature set size is of interest for design of hand movement recognition syst...
Human-administered clinical scales are commonly used for quantifying motor performance and determining the course of therapy in post-stroke individuals. Computerized methods aim to improve consistency, resolution and duration of patients’ evaluation. The objective of this study was to test the validity of computerized square-drawing test (DT) for a...
The main drawback of the commercially available myoelectric hand prostheses is the absence of somatosensory feedback. We recently developed a feedback interface for multiple degrees of freedom myoelectric prosthesis that allows proprioceptive and sensory information (i.e., grasping force) to be transmitted to the wearer instantaneously. High inform...
The aim of this paper is to present a system for closed-loop training of dynamic electrotactile stimulation patterns for proprioceptive feedback. The developed system allows the user to perform two hand movements (hand opening/closing and rotation) while equipped with a hand kinematics sensor, and receive electrotactile proprioception feedback on t...
The goal of this study was to investigate surface motor activation zones and their temporal variability using an advanced multi-pad functional electrical stimulation system. With this system motor responses are elicited through concurrent activation of electrode matrix pads collectively termed “virtual electrodes” (VEs) with appropriate stimulation...
The aim of this study was to investigate the ability of the amputees to understand and identify proprioceptive feedback information presented by a set of dynamic stimulation patterns. The feedback relied on spatial coding of electrotactile stimuli, provided by a multichannel electrical stimulator, over custom designed array electrodes. Four stimula...
—The aim of this study was to examine the correlation between the measures based on the Drawing Test (DT) in horizontal plane and the score on the shoulder-elbow tasks of the Wolf Motor Function Test (WMFT). Fourteen stroke survivors who participated in the study performed the two tests before and after the four-week rehabilitation program. The DT...
Human motor control relies on a combination of feedback and feedforward strategies. The aim of this study was to longitudinally investigate artificial somatosensory feedback and feedforward control in the context of grasping with myoelectric prosthesis. Nine amputee subjects performed routine grasping trials, with the aim to produce four levels of...
The ArmAssist is a simple low-cost robotic system for upper limb motor training that combines known benefits of repetitive task-oriented training, greater intensity of practice, and less dependence on therapist assistance. The aim of this preliminary study was to compare the efficacy of ArmAssist (AA) robotic training against matched conventional a...
Objective:
The aim of the present work was to develop and test a flexible electrotactile stimulation system to provide real-time feedback to the prosthesis user. The system requirements were to accommodate the capabilities of advanced multi-DOF myoelectric hand prostheses and transmit the feedback variables (proprioception and force) using intuiti...
Aim of this study was to investigate the feasibility of electrotactile feedback in closed loop training of force control during the routine grasping task. The feedback was provided using an array electrode and a simple six-level spatial coding, and the experiment was conducted in three amputee subjects. The psychometric tests confirmed that the sub...
The purpose of this study was to examine surface motor activation zones for wrist, fingers and thumb extension movements and their temporal change during 20 therapy sessions using advanced multi-pad functional electrical stimulation system. Results from four hemiplegic patients indicate that certain zones have higher probability of eliciting each o...
Face perception is a neurological mechanism that plays an important role in the social interaction. The N170 event-related potential (ERP) component is linked to face recognition, and can be evoked by visual stimuli of face images. We have developed a platform for image presentation and EEG data acquisition based on EMOTIV EPOC+, a wireless, portab...
The aim of this study is to evaluate the effects of electrode shift in multisession recording on sEMG-based classification of grasping movements. sEMG data were recorded during three different grasping movements for two slightly different electrode array positions in two sessions. Principal Component Analysis was used for feature extraction, and th...
The aim of this study is to indicate the effects of electrode array positioning over the forearm on sEMG-based classification of grasping and wrist movements.
In order to improve surface electromyography (sEMG) based control of hand prosthesis, we applied Principal Component Analysis (PCA) for feature extraction. The sEMG data from a group of healthy subjects (downloaded from free NINAPRO database) comprised the following sets: three grasping, eight wrist, and eleven finger movements. We tested the accur...
In order to improve surface electromyography (sEMG) based control of hand prosthesis, we applied Principal Component Analysis (PCA) for feature extraction. The sEMG data (downloaded from free NINAPRO database) were recorded during three grasping and 11 finger movements. We tested the accuracy of a simple piecewise quadratic classifier for two sets...