Objective A brain computer interface (BCI) allows users to control external devices using non-invasive recordings, such as electroencephalography (EEG). We developed and tested a novel electrotactile BCI prototype based on somatosensory event-related potentials (sERP) signals, paired with tactile attention task paradigm. Approach comprises commercial EEG device, an electrical stimulator custom software for stimulation control, synchronization between devices, signal processing, feature...

Tactile attention tasks are used in the diagnosis and treatment of neurological sensory processing disorders, while somatosensory event-related potentials (ERP) measured by electroencephalography (EEG) as neural correlates processes. Brain-computer interface (BCI) technology provides an opportunity for training mental task execution via providing online feedback based on ERP measures. Our recent work introduced a novel electrotactile BCI training, ERP; however, no previous studies have...

This study investigates the feasibility of a novel brain–computer interface (BCI) device designed for sensory training following stroke. The BCI system administers electrotactile stimuli to user’s forearm, mirroring classical interventions. Concurrently, selective attention tasks are employed modulate electrophysiological brain responses (somatosensory event-related potentials—sERPs), reflecting cortical excitability in related sensorimotor areas. identifies attention-induced changes brain’s...

The need for long-term monitoring of individuals in their natural environment has initiated the development a various number wearable healthcare sensors wide range applications: medical clinical or home environments, physical activity assessment athletes and recreators, baby maternity hospitals homes etc. Neural networks (NN) are data-driven type modelling. learn from experience, without knowledge about model phenomenon, but knowing desired 'output' data training 'input' data. most promising...

Writing is a complex skill and it can be affected by many factors. One of the most obvious handedness. The actual influence handedness (especially left-handedness, since almost 10% population left-handed) onto writing performance has not been fully studied in previous research. Digitalized kinematic analyses assessments strategies (i.e., graphic rules principles) are two approaches to investigating characteristics poorly addressed aim this study was analyze effects kinematics using...

Human body motion tracking has been performed in the domain of diagnosis and therapy movement disorders, facilitating human machine interaction controlling wearable robots. Low-cost inertial measurement units are widely used robotics for upper/lower limb motions. Method classification forearm positions movements based on training feedforward artificial neural networks (ANN) is presented this paper. The ANN input data were acquired using sensors (3-axis accelerometer gyroscope) placed...

We propose a novel system for measuring finger force profiles dexterity assessment. Developed application controls turning on/off of LEDs (each LED corresponds to one finger) signalize the user which should press corresponding strain gage sensor. Linearity, repeatability and sensitivity position pressure sensors were tested prove reliability. An example potential usage with assessment quantitative parameters is presented.

<h3>Background:</h3> Fibromyalgia (FM) is characterized by cognitive decline driven other symptoms such as pain, fatigue, and depression. Furthermore, balance alterations have been well documented an enormous negative effect on patients' performance, increasing their risk of falling; therefore, they must be diagnosed early, accurately, reliably in terms prevention rehabilitation. Regarding activities daily living, the dual task paradigm a surrogate for everyday functioning, providing...

Ovaj rad istražuje primenu dubokog učenja za klasifikaciju srčanih aritmija, fokusirajući se na kombinaciju konvolucione neuralne mreže i duge kratkoročne memorije, omogućavajući bolje razumevanje vremenskih prostornih karakteristika elektrokardiogramskih signala iz MIT-BIH baze podataka. Kroz sistematično treniranje evaluaciju modela, dobijena je tačnost od 97,59% test skupu. Ovi rezultati ukazuju obećavajuće performanse modela u klasifikaciji ističući potencijal medicinskoj dijagnostici...

Traditional tactile brain–computer interfaces (BCIs), particularly those based on steady-state somatosensory–evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contrast, using transient electrical stimuli offers a promising alternative generating BCI control signals: somatosensory event-related potentials (sERPs). This study aimed to optimize performance of novel electrotactile by employing advanced feature...

We propose a novel system for measuring finger force profiles dexterity assessment. The consists of software application and encased hardware. sensing part the ten high sensitivity strain gage sensors, one each finger. developed controls turning ON/OFF LEDs (each LED corresponds to finger) signalize user which should press corresponding sensor. Linearity, repeatability, position pressure sensors were tested prove reliability. potential usage with assessment quantitative parameters was...

Activity monitoring is a technique for assessing the physical activity that person undertakes over some time. Index (AI) metric summarizes raw measurements from tri-axial accelerometers, often used measuring activity. Our research compared different groups and hand usage [1]. We also tested this as classification feature, how data acquisition segmentation parameter configurations influence accuracy. Data was done with previously developed system includes smartwatch on each wrist smartphone...

The aim of this paper was to compare gait parameters in humans that use a transfemoral prosthesis with and without active feedback. Study repeated 6 times (3 3 feedback) one-day case study. During tasks (climbing descending stairs), the trajectory hip, knee ankle observed by video monitoring system using place markers. ground reaction force pattern recorded seven sensors placed on insoles for shoes. knees angles were acquired encoders. Wilcoxon signed-ranked test showed there is difference...